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  • MPI Ethno. Forsch.  (2,502)
  • English  (2,502)
  • Cham : Springer International Publishing  (1,167)
  • Washington, D.C : The World Bank  (916)
  • Singapore : Springer Nature Singapore  (419)
  • Computational intelligence.  (941)
  • Finance and Financial Sector Development  (915)
  • Social sciences  (646)
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  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    ISBN: 9783031517532
    Language: English
    Pages: 1 Online-Ressource(XIII, 150 p.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Social sciences ; Ethics. ; Political science ; Philosophy of nature. ; Climatology.
    Abstract: 1. Introduction to collective and shared responsibility for climate change -- 2. Calling all collective agents -- 3. Responsibility as members -- 4. Shared social orientation and responsibility as constituents -- 5. Carbon inequality and direct responsibility -- 6.Why we need ethical arguments to set good climate policies.
    Abstract: "In this innovative book, Hormio effectively argues for an 'all hands on deck' approach to assigning climate change responsibility to a wider array of agents than is typically recognized, making the case that ethical analysis matters for complex policy problems like climate change.” —Steve Vanderheiden, Professor of Political Science, University of Colorado at Boulder, USA "By interweaving philosophical argument with real-world examples, Säde Hormio makes an important contribution to debates about collective responsibility for climate change." —Stephanie Collins, Associate Professor of Philosophy, Monash University, Australia This book proposes that it is not only states and international bodies that have a responsibility to take action toward mitigating climate change. Other collective agents, such as corporations, need to also come onboard. Additionally, the book argues that climate change is not solely a problem for collective agents, but also for individuals, as they are members of collectives and groups of several kinds. Therefore, framing climate change responsibility exclusively from either the collective or the individual perspective leaves out something crucial: how we all are influenced by the collectives we belong to and how, in turn, collectives are influenced by individuals. The focus of the book is on areas of climate change responsibility that are often left out of the picture or get too little attention in climate ethics, such as carbon inequality within countries. But why should any theoretical arguments about normative issues matter when we have a real-life climate crisis on our hands? Säde Hormio argues that ethical arguments have an important role in setting climate policy: they can highlight what values are at stake and help ground normative arguments in public deliberations. Säde Hormio is an Academy Research Fellow in Practical Philosophy at the University of Helsinki. She is also affiliated with the Institute for Futures Studies in Stockholm. Her research focuses on shared and collective responsibility.
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  • 2
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031495489
    Language: English
    Pages: 1 Online-Ressource(VIII, 179 p.)
    Edition: 1st ed. 2024.
    Series Statement: Contributions to Phenomenology, In Cooperation with The Center for Advanced Research in Phenomenology 128
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Phenomenology . ; Social sciences ; Ethics.
    Abstract: 1. Gustav Strandberg and Hugo Strandberg: Introduction -- 2. Jan Patočka: The Phenomenology of Afterlife -- 3. Jan Frei: To Live after Death: Where? Patočka’s “Phenomenology of Afterlife” and Its Contexts -- 4. Gustav Strandberg: Dying with the Other: Death as the Manifestation of Community -- 5. Nicolas de Warren: The Intimacy of Disappearance -- 6. Hugo Strandberg: Forgiveness and the Dead -- 7. Tomáš Hejduk: Postmortal Openness to Meaning -- 8. Ondřej Beran: The Other Modern Séances -- 9. Erin Plunkett: What Does It Mean to Love the Dead? -- 10. Lovisa Andén: Between Memory and History: Retracing Historical Knowledge through a Phenomenology of Afterlife -- 11. Antony Fredriksson: Drawing a Line or Blurring the Contour between Animate and Inanimate with Clarice Lispector and Jan Patočka -- 12. Niklas Forsberg: “Unresting Death, a Whole Day Nearer Now”: Parfit and Patočka on Death and False Consolations.
    Abstract: This volume contains for the first time in English, Jan Patočka’s seminal essay “The Phenomenology of Afterlife”, as well as contributions surrounding and analyzing this text. In his essay, Patočka reflects on our relation to the dead and on how the departure of a loved one affects our continued existence. The premise of Patočka’s investigation is that our existence always takes place by and through an originary and reciprocal “being for others”. The contributors in the volume extend the field of inquiry into the wider phenomenological and post-phenomenological discussion of death by being cognizant of how works of literature can broaden our understanding of the care of death, grief, forgiveness and non-reciprocal love. Also included are reflections on issues of philosophical anthropology, community, collective memory, and the ecstatic nature of life – issues that can all be related back to Patočka’s initial reflections, but which nonetheless radiate into a myriad of directions. This volume appeals to students and researchers in the field.
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  • 3
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819707034
    Language: English
    Pages: 1 Online-Ressource(XXIII, 57 p. 1 illus.)
    Edition: 1st ed. 2024.
    Series Statement: SpringerBriefs in Philosophy
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Social sciences ; Hermeneutics. ; Critical theory.
    Abstract: Chapter 1: Introduction -- Chapter 2: Modernisation, Modernity, Liberalism and Religion -- Chapter 3: Marxian Critique of Religion -- Chapter 4: Early Habermas’s Critique of Gadamer and His Later Approach to Religion -- Chapter 5: The Gadamer-Habermas Debate and its Implication for Religion -- Chapter 6: Post-Secularism, Liberalism and Their Discontents -- Chapter 7: Conclusion.
    Abstract: This book deals with the question of understanding religion and its relationship with politics in the context of developing countries. It reviews specific theories, such as modernisation theory, marxism, liberalism, hermeneutics and critical approach to explain questions related to religion and religious traditions. The book focuses on the recent attempts to theorise religion by Jurgen Habermas. It argues modernisation and orthodox Marxian theory are inadequate in understanding the recent spurt of religious phenomenon in politics. It discusses Hans-Georg Gadamer’s view to show a way forward regarding dialectical hermeneutics in facilitating a dialogue between different traditions and religions. The book is of interest to students, scholars, practitioners of development, and all those who concern themselves with the questions of religion, tradition, modernity and secular well-being in developing countries such as India and beyond.
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  • 4
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    ISBN: 9783031499678
    Language: English
    Pages: 1 Online-Ressource(XIV, 280 p.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Philosophy. ; Economics. ; Law ; Social sciences
    Abstract: Chapter 1: Introduction: Breaking Free from Private Control Over Knowledge -- Chapter 2: First Prolegomena: A Brief History of Intellectual Property -- Chapter 3: Prolegomena: Rationalisation of Intellectual Property -- Chapter 4: Prolegomena: The Dangers of Intellectual Property -- Chapter 5: Conclusion: Social Disintegration and the Privatisation of Knowledge.
    Abstract: The Paradox of Intellectual Property in Capitalism is an innovative book that comprehensively discusses and analyses intellectual property under capitalistic social conditions and relations. It not only addresses some historical developments of intellectual property but also brings to the fore the very notion of what knowledge is, knowledge creation, and knowledge production and appropriation within a Marxist framework. Nonetheless, the adopted approach pays heed to multiple fields of knowledge, providing rich discussions that facilitate the understanding of actual social totality in which capitalism, knowledge production and appropriation, and the struggles of appropriation mutually reinforce each other, although not devoid of antagonisms and contradictions. In light of contemporary capitalism, the transformations that social property relations are undergoing must be scrutinised – such as those brought about by the development of digitalisation and the convergence between big pharma and tech giants. What are the conditions of intellectual property creation today? What theoretical assumptions does it make? Under what social relations is intellectual property produced? Throughout, the emphasis is not on individual cases or symptoms but on the overarching logic: the logic of capitalism as revealed in intellectual property. João Romeiro Hermeto holds a PhD in philosophy from the Witten/Herdecke University, Germany.
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  • 5
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    ISBN: 9783031543142
    Language: English
    Pages: 1 Online-Ressource(XI, 171 p. 2 illus.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Ethics. ; Business ethics. ; Social sciences
    Abstract: 1. Introduction and Methodological Framework -- 2. Corporate Social Responsibility: Locating Contention and Scepticism -- 3. Socially Responsible Investment: New Challenges or Same Old Mindset? -- 4. The Fiduciary: The Overarching Contentious Concept.
    Abstract: This book offers a unique exploration and analysis of social responsibility and associated ethical concepts used by business and financial organizations. Mussell lays out the argument that a realist analysis of social responsibility reveals caring relations underpinning this ethical behavior. The combination of a realist social ontology with contemporary relational care ethics provides the theoretical framework needed to successfully explore the ethics of social responsibility. She then applies this realist caring relations argument to three specific contexts in which social responsibility is explicitly evident - including corporate social responsibility, socially responsible investment, and the legal concept of the fiduciary. By tracing the historical development of each concept – including how economic methodology has influenced interpretations and practice – a complex picture emerges, showing how ethics, economic theory, and political theory intersect. This is an insightful work of philosophically informed contemporary political economy, analyzing the evolution and connection of key ethical concepts widely used by organizations. Helen Mussell is a Lecturer in Organizational Studies at Cardiff University, and a Research Associate at the Centre for Business Research, University of Cambridge, UK.
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  • 6
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Public Expenditure Review
    Keywords: Education Equity ; Finance and Financial Sector Development ; Fiscal Policies ; Infrastructure Economics ; Private Sector Management ; Public Finance Management ; Regional Urban Development ; Renewable Energy ; Sustainable Land Management
    Abstract: This report presents a review of the intergovernmental fiscal transfer reforms program (IGFTRP) and its performance since 2015, as part of a broader Public Expenditure Review (PER) that aimed to explore avenues for improving efficiency effectiveness in cross cutting areas of service delivery. The report is based on extensive documentary review, analysis of available data on local government (LG) finances, fieldwork in selected LGs and consultations with national ministries, departments, and agencies (MDAs) involved in the management of the IGFTRP. Ministry of Finance, Planning, and Economic Development (MoFPED) provided data in various forms, and some data was publicly available at its website. It also includes data analysis on aspects of LG financing outside the IGFTRP system, but with implications to its delivery. These aspects include LG Own Source Revenues (OSR), Other Government Transfers (OGT) and External Finance that are captured by LG budgets and reports (available on the MoFPED website)
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  • 7
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: IEG Independent Evaluations and Annual Reviews
    Keywords: Climate Change ; Conflict ; CPE ; Development Challenges ; Finance and Development ; Finance and Financial Sector Development ; Natural Disasters
    Abstract: This Country Program Evaluation (CPE) will assess the performance of the World Bank Group's support to Nepal in achieving its development objectives between 2014 and 2023. The evaluation will focus on the Bank Group's support to Nepal as it tackled its long-term development challenges while undertaking political and institutional reforms relating to the shift to federalism and responding to multiple shocks and disasters. This period covered by this evaluation spans the last two country strategies--the FY14-18 Country Partnership Strategy (CPS) and the FY19-23 Country Partnership Framework (CPF). The CPE will assess the adaptive relevance and coherence of the Bank Group-supported program by examining how the Bank Group has adapted its support over time in response to changing conditions and priorities. This will include an examination of the Bank Group's response to the 2015 earthquakes and the COVID-19 pandemic. The evaluation will assess the Bank Group's work in three important thematic areas--resilience to natural disasters, federalism, and jobs and private sector development--in greater depth
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  • 8
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Equitable Growth, Finance and Institutions Insight
    Keywords: Finance and Financial Sector Development ; Firm-Level ; Global Statistics ; Public and Municipal Finance ; Public Procurement ; WBES
    Abstract: Public procurement is at the intersection between the public and the private sectors. Policy makers and practitioners are increasingly paying attention to the potential catalytic role of public procurement to promote economic growth and inclusive and sustainable development, for example through participation of SMEs and women-owned firms in this market. However, despite a growing academic literature, there is still limited evidence on the link between public procurement and firms, which this paper contributes to address in two ways. First, this paper provides guidance on how to design a high-quality firm-level survey to study public procurement from the perspective of firms. Second, this paper presents some of the statistics and stylized facts that can be generated on public procurement from the existing World Bank Enterprise Surveys data, covering more than 150 countries worldwide. To sustain evidence-based policies in public procurement, firm-level survey data can be a valuable source of information on public procurement market. In particular, it can capture dimensions such as views and perceptions of firms that cannot be observed from e-government procurement data, it allows to study firms that never entered the public procurement market, and it provides data for countries that have not adopted an eGP system yet. Together with legislative and institutional reviews, and the analysis of transactional procurement data, firm-level survey data can be used to identify weaknesses of a public procurement system and inform reform efforts. This paper is part of a broader effort to continuously expand the available data, statistics, and tools for evidence-based policy making in public procurement
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  • 9
    Language: English
    Pages: 1 Online-Ressource (53 pages)
    Parallel Title: Erscheint auch als Moretti, Matias Inelastic Demand Meets Optimal Supply of Risky Sovereign Bonds
    Keywords: Economic Development ; Emerging Markets Bond Index ; Finance and Financial Sector Development ; Inelastic Financial Markets ; Institutional Investors ; International Capital Markets ; International Financial Markets ; Investment and Investment Climate ; Macroeconomics and Economic Growth ; Small Open Economies ; Sovereign Debt
    Abstract: This paper presents evidence of inelastic demand in the market for risky sovereign bonds and examines its interplay with government policies. The methodology combines bond-level evidence with a structural model featuring endogenous bond issuances and default risk. Empirically, the paper exploits monthly changes in the composition of a major bond index to identify flow shocks that shift the available bond supply and are unrelated to country fundamentals. The paper finds that a 1 percentage point reduction in the available supply increases bond prices by 33 basis points. Although exogenous, these shocks might influence government policies and expected bond payoffs. The paper identifies a structural demand elasticity by feeding the estimated price reactions into a sovereign debt model that isolates endogenous government responses. These responses account for a third of the estimated price reactions. By penalizing additional borrowing, inelastic demand acts as a commitment device that reduces default risk
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  • 10
    Language: English
    Pages: 1 Online-Ressource (48 pages)
    Parallel Title: Erscheint auch als Jellema, Jon Gender and Fiscal Policy: A Methodological Proposal and its Application to Jordan and Armenia
    Keywords: Finance and Development ; Finance and Financial Sector Development ; Gender ; Gender and Development ; Gender and Social Development ; Incidence Analysis ; Social Analysis ; Social Development ; Taxes ; Transfers
    Abstract: Fiscal policies affect households and individuals in a variety of ways. Even though these effects are likely to be different for men and women, conventional tools of fiscal incidence analysis are typically unable to capture these gender differences. Using a particular type of incidence analysis known in the literature as the Commitment to Equity framework, this paper proposes a methodology to overcome this challenge. A particular novelty the paper introduces is the explicit incorporation of social reproduction into the fiscal incidence analysis framework, enabling the implicit valuation of unpaid work that is typically undertaken by women on activities such as cooking, cleaning, and caring for children and the elderly. Applying this methodology to the cases of Jordan and Armenia -- two countries with very different approaches to fiscal policy and cultural norms around the economic and social roles of men and women -- the paper also highlights some of the insights that this engendered perspective could add to standard fiscal incidence analysis
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  • 11
    Language: English
    Pages: 1 Online-Ressource (21 pages)
    Parallel Title: Erscheint auch als Seuyong, Feraud Tchuisseu Who did Covid-19 Hurt the Most in Sub-Saharan Africa?
    Keywords: Covid-19 ; Distributional Impacts ; Finance and Development ; Finance and Financial Sector Development ; Health Monitoring and Evaluation ; Health, Nutrition and Population
    Abstract: How did the economic crisis caused by the Covid-19 pandemic impact poor households in Sub-Saharan Africa This paper tackles this question by combining 73 High-Frequency Phone Surveys collected by national governments in 14 countries with older nationally representative surveys containing information on household consumption. In particular, it examines how outcomes differed according to predicted per capita consumption quintiles in the first wave of the survey, and in subsequent waves by households' predicted per capita consumption. The initial shock affected households throughout the predicted welfare distribution. Households in the bottom 40 percent responded by sharply increasing farming activities between May and July of 2020 and gradually increasing ownership of non-farm enterprises starting in August. This coincided with an improvement in welfare, as measured by a decline in food insecurity and distressed asset sales among these households during the second half of 2020. With respect to education, children in the bottom quintile were 15 percentage points less likely to engage in learning activities than those in the top quintile in the immediate aftermath of the crisis, and the engagement gap between the bottom 40 and top 60 widened in the summer before narrowing in the fall due to large declines in engagement among the top 60. Poorer households were slightly more likely to report receiving public assistance immediately following the shock, and this difference changed little over the course of 2020. The results highlight the widespread impacts of the crisis both on welfare and children's educational engagement, the importance of agriculture and household non-farm enterprises as safety nets for the poor, and the substantial recovery made by the poorest households in the year following the crisis
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  • 12
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Access To Finance ; Business Environment ; Conflict ; Conflict and Development ; Economic Growth ; Finance and Financial Sector Development ; Fragile States ; Private Sector ; Private Sector Development
    Abstract: This Private Sector Assessment Report on the Republic of Yemen is delivered as part of the Private Sector Technical Assistance project. The goal of the project is to understand the dynamics of the country's private sector during conflict; identify constraints to trade, investment, and finance; and propose recommendations for inclusive private sector entry, survival, and growth. The report also includes an overview of the financial sector's impact on the private sector, especially on the latter's resilience during conflict. Finally, the report provides structural and policy recommendations that, once implemented by the authorities on both national and subnational levels, would prepare the Yemeni private sector to participate in the country's post-conflict recovery and reconstruction
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  • 13
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Public Environmental Expenditure Review
    Keywords: Access To Finance ; Adaptation To Climate Change ; Blended Concessional Finance ; Clean Energy ; Climate Investments ; Climate-Smart Agriculture ; Environment ; Finance and Financial Sector Development ; Green Housing ; Solar Power ; Waste-To-Energy
    Abstract: The document collection focuses on the concept of blended finance for climate investments, emphasizing the need for innovative financial mechanisms to address climate change. It discusses the potential of blending public and private capital to mobilize investment in climate-related projects, aiming to achieve both environmental and financial returns. The collection explores various models and case studies to demonstrate the effectiveness of blended finance in driving sustainable development and combating climate change on a global scale
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  • 14
    Language: English
    Pages: 1 Online-Ressource (34 pages)
    Parallel Title: Erscheint auch als Simbeye, Laban The Role of Firm Dynamics in Aggregate Productivity and Formal Job Flows in Zambia
    Keywords: Employment and Unemployment ; Finance and Financial Sector Development ; Formal Jobs ; Formal Wages ; Industrial Management ; Industry ; Productivity ; Skills Development and Labor Force Training ; Social Protections and Labor ; Structural Transformation ; Wages, Compensation and Benefits
    Abstract: Zambia's private sector must deliver quality jobs at scale to keep up with its expanding working age population, contribute to economic transformation, and reduce poverty. This entails both the creation of high-quality jobs and productivity improvement among existing jobs and firms. This paper analyzes the dynamics of formal firms to identify the drivers and barriers to productivity, formal employment, and formal wage growth in Zambia. Leveraging firm and worker administrative tax data from Zambia, the paper decomposes labor productivity and wage growth among formal firms and workers in Zambia into within-firm, between-firm, inter-sectoral, and dynamic components. The findings show that the aggregate labor productivity of formal firms declined over 2014-21, driven by secular within-firm declines in the non-mining industry and service sectors. By contrast, labor productivity grew in agriculture and remained flat in mining over the same period. Real wage trends for formal workers have mostly mirrored labor productivity dynamics, declining 40-50 percent across non-agriculture sectors but growing slightly in agriculture, largely driven by within-firm shifts rather than between-firm or between-sector dynamics. The declines in labor productivity and wages reflect business environment challenges related to access to finance and electricity, as well as burdensome formal compliance requirements and competition with the informal sector. Within-firm labor productivity challenges also reflect low skills and capacity--including low technology adoption--among both firms and workers
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  • 15
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource (36 pages)
    Parallel Title: Erscheint auch als Ubfal, Diego What Works in Supporting Women-Led Businesses?
    Keywords: Entrepreneurship ; Finance and Development ; Finance and Financial Sector Development ; Gender ; Gender and Economics ; Literature Review ; Private Sector Development ; Women-Led Business
    Abstract: Innovative women entrepreneurs can be agents of change and offer novel solutions to global challenges. However, they face multiple barriers to growing their businesses. This paper reviews the literature on strategies to support women entrepreneurs in improving their business outcomes. It focuses on interventions designed to address four areas of constraints that influence their decisions and can impact their business performance: gaps in human capital, access to finance, access to technology and markets, and contextual factors such as legal and regulatory constraints, social norms, access to care, and gender-based violence. The review concludes that evidence of modest average treatment effects and heterogeneity in treatment effects across various interventions suggest the need for more precise targeting. The multiple constraints faced by women entrepreneurs necessitates testing different packages of interventions. Moreover, the successful implementation and adoption of proposed solutions require consideration of the contextual constraints that differentially affect women-led businesses. While the review highlights several interventions that show promise in supporting women entrepreneurs, significant gaps remain in the evidence concerning the most effective strategies
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  • 16
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Policy Notes
    Keywords: Adaptation to Climate Change ; Climate Change ; Economic Growth and Planning ; Environment ; Environment and Natural Resource Management ; Finance and Development ; Finance and Financial Sector Development ; Poverty Reduction
    Abstract: Pakistan is at a critical decision point. While there have been recent important examples of reform progress, economic policies over past years and decades have had overall negative impacts on sustainability, productivity, and investment. As Pakistan has fallen behind its peers, progress with poverty reduction has ceased. Human development outcomes remain dire, while the benefits of growth have accrued disproportionately to a narrow elite. Amid continued rapid population growth and a youth bulge, a growing number of young Pakistanis are frustrated by the lack of opportunities, with prospects for young women especially bleak. Pakistan is among the countries most impacted by climate change, and recent events, including the 2022 floods, have highlighted the urgent need for investment in climate resilience. The economy is now, again, sustained by a short-term International Monetary Fund (IMF) program, inflation is at record highs, the rupee has depreciated sharply, while foreign exchange reserves remain at uncomfortably low levels. Recent policy measures (including the restoration of exchange rate flexibility, subsidy reforms, and movements towards fiscal constraint) have supported economic stabilization, but the underpinning drivers of Pakistan's economic fragility remain to be addressed. This note presents critical policy shifts required to move beyond the current low equilibrium towards sustainable and inclusive economic development and poverty reduction. This note summarizes the accompanying series of policy notes. It: (i) outlines Pakistan's current development challenge; (ii) identifies the critical constraints to faster development progress; (iii) describes the major policy shifts that will be required to address current constraints; and (iv) presents broad principles to guide implementation of required reforms
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  • 17
    Language: English
    Pages: 1 Online-Ressource (2 pages)
    Parallel Title: Erscheint auch als Amin, Mohammad Does Financial Development Reduce Gender Disparity in Top Manager Positions in Manufacturing SMEs in Developing Countries?
    Keywords: Access to Finance ; Credit Market ; Discriminating Practices ; Finance and Financial Sector Development ; Formal Manufacturing Enterprises ; Gender ; Gender and Economics ; Gender Gap ; Women in Management
    Abstract: Women often face more hurdles than men in obtaining finance. This is especially so when credit supply is limited and financial markets are less developed. As a result, owners of firms may prefer men over women as top managers of their firms, widening the gender gap in top manager positions. This paper tests this idea using firm-level survey data for small and medium-size formal manufacturing enterprises in 47 developing countries. The results confirm a positive relationship between credit supply and the likelihood of having a woman versus a man as the top manager. This positive relationship is much stronger in industries that are more dependent on external sources of finance for technological reasons. It is also stronger in countries with poor coverage by credit bureaus and low competition between banks, which is consistent with "statistical" and "taste-based" discrimination against women borrowers. The main result is robust to several endogeneity checks, sample alterations, and alternative measures of credit supply and financial development
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  • 18
    Language: English
    Pages: 1 Online-Ressource (50 pages)
    Parallel Title: Erscheint auch als Patino Pena, Fausto The Role of Firm Dynamics in Aggregate Productivity, Job Flows, and Wage Inequality in Ecuador
    Keywords: Aggregate Productivity ; Employment and Unemployment ; Finance and Development ; Finance and Financial Sector Development ; Firm Performance ; Job Flows ; Social Protections and Labor ; Wage Inequality
    Abstract: This paper examines the role of firm dynamics in aggregate total factor productivity, job flows, and wage inequality in Ecuador. Utilizing a comprehensive employer-employee dataset, the paper documents firm dynamics and job flow patterns that are consistent with the presence of market distortions. Also, the paper identifies factor misallocation as the main contributor to Ecuador's total factor productivity deceleration. Given these trends, the paper explores allocative inefficiency drivers through firm- and industry-level regressions. Firms in the top productivity quintile face distortive non-wage labor costs that are 3.7 times higher than the bottom quintile, after controlling for firm size and age. The findings also provide evidence of credit misallocation across firms. Additionally, industries with higher job mobility, credit access, and competition and lower non-wage labor costs, minimum wage incidence, and zombie firms demonstrate higher allocative efficiency. Moreover, worker-level regressions indicate that misallocation drivers explain up to 41 percent of wage inequality, with non-wage labor costs and product market frictions as distortions driving this inequality
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  • 19
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Equitable Growth, Finance and Institutions Insight
    Keywords: Access To Finance ; ESG Integration ; Finance and Financial Sector Development ; Government Pension Fund ; Investments ; Pension Funds ; Pensions and Retirement Systems ; Social Funds and Pensions ; Social Protections and Labor
    Abstract: This report describes the ESG integration practices at GPF as a practical example of how a pension fund can integrate ESG considerations into its investment practices and processes. The report focuses on the incorporation of ESG issues into our investment analysis and decision-making process. Other elements of responsible investing such as active ownership and ESG disclosure practices whilst also key to GPF's overall approach, are not discussed in detail in this report. The report is a product of technical co-operation between teams from GPF and the World Bank. The report starts by providing some background information on GPF, including its investment philosophy and an overview of ESG investment philosophy before detailing the GPF ESG Score methodology. It then describes how the GPF ESG Score methodology is applied to equity and fixed-income investments, followed by an overview of how GPF ensures that ESG considerations are integrated into the selection, appointment and monitoring of external managers. It concludes with some reflections on the landscape of responsible investment and identifies areas where GPF expects to improve its investment process in the coming years
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  • 20
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Environmental Study
    Keywords: Access To Finance ; Ecosystem Restoration ; Environment ; Environmental Protection ; Finance and Financial Sector Development ; Financing Needs ; Nature Loss ; Private Sector Development ; Private Sector Economics ; Private Sector Investment
    Abstract: Ecosystem restoration is critical to the global ambition of halting and reversing nature loss. Tremendous efforts have been deployed globally to conserve the remaining rainforests, grasslands, rivers and lakes, reefs and mangroves, and other ecosystems that are critical for safeguarding biodiversity and the ecosystem services that humanity depends on. However, the extent of environmental degradation is such that recovering the productivity of ecosystems where it has been lost is equally important - for nature, communities, and economic sectors. While restoration is often viewed as the purview of the public sector, this report demonstrates opportunities for private sector investment. It aims to shift the perception that restoration finance is limited to grant funding from domestic and international public sources only. Drawing on case studies, it highlights the investment drivers and entry points for private finance in restoration projects. The financing models presented also point to opportunities for replication and scaling. This report is a product of the Finance Task Force of the United Nations Decade on Ecosystem Restoration, an initiative led by the United Nations Environment Program and the Food and Agriculture Organization of the United Nations. The United Nations Decade aims to drive the restoration of one billion hectares of degraded land between now and 2030. The role of the Finance Task Force, chaired by The World Bank, is to catalyze action that can contribute to unlocking the capital needed to meet the United Nations Decade's goals
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  • 21
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other ESW Reports
    Keywords: Core Principles ; Corruption and Anticorruption Law ; Finance and Financial Sector Development ; Financial Law ; Insurance and Risk Mitigation% ; Integrity Compliance ; Internal Controls ; Law and Development ; Small and Medium Sized Enterprises
    Abstract: Small and medium-sized enterprises, or "SMEs," play a major role in global economic development. This Guide aims to provide SMEs with a useful framework for developing effective Integrity Compliance Programs, or "ICPs," tailored to their own business models, budgets, and risk profiles. It distills prevailing best practices and guidelines from leading national and international institutions. Many SMEs worldwide have collaborated with the World Bank Integrity Compliance Office, or "ICO," to develop creative strategies for devising and implementing ICPs, mitigating the risk of misconduct in their operations, and even more broadly, among their business networks. This Guide describes some of these strategies. It is hoped that this Guide, which explains certain core principles, internal controls, and essential elements of ICPs, will be of real, practical value for SMEs seeking to build a culture of integrity in their businesses and communities
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  • 22
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Equitable Growth, Finance and Institutions Insight
    Keywords: Asset Class ; Coastal and Marine Environment ; Corporate Markets ; Finance and Financial Sector Development ; Investors ; Issuer ; Liquidity
    Abstract: This note reviews the economic literature and empirical research on the drivers and effects of secondary market liquidity in the corporate securities markets. The choice of this topic was driven by the work of the World Bank in the field. Financial sector authorities in emerging markets and developing economies often request the World Bank's support to improve the liquidity of their corporate markets, as they consider liquidity to be key to attracting more investors
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  • 23
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Public Expenditure Review
    Keywords: Access and Equity in Basic Education ; Bhutan ; Domestic Revenue Administration ; Early Childhood Development ; Finance and Financial Sector Development ; Fiscal Policy ; Macroeconomics and Economic Growth ; Public Expenditure Management
    Abstract: Despite Bhutan's distinctive geographical and economic challenges, Bhutan has maintained a relatively high average real GDP growth rate of 8.8 percent over FY00-01-FY09-10, which is greater than the average of South Asian countries as well as low and middle-income economies. Bhutan's mountainous topography and dense network of rivers offer vast hydropower potential, which the country has been harnessing since the mid-1980s with the commissioning of the Chhukha Hydropower Project in 1986. However, due to a slower rate of growth of hydropower capacity, real GDP growth in Bhutan declined over the last decade, averaging only 3.5 percent, which was lower than the growth rates of regional peers and middle-income economies. Bhutan maintained a relatively strong fiscal position prior to COVID, but the situation has deteriorated recently. Bhutan's revenue to GDP ratio averaged at around 30 percent of GDP over FY10-11 and FY21-22, supported by revenue from hydropower projects and sizable external grants. However, revenue was on a declining trend that was further exacerbated by the onset of COVID-19. The pandemic necessitated an expansionary fiscal stance and led to delays in the commissioning of new hydropower projects. In the aftermath of the pandemic, despite a rapid phasing out of extraordinary outlays and containment in current expenditures, the government continued to provide fiscal support to boost economic activity by frontloading the 12th Five Year Plan (FYP) covering 2018-2023, resulting in a rise in capital expenditure. Consequently, the fiscal deficit widened from around 2 percent in FY18-19 to 6.7 percent of GDP in FY20-21 and further to 8.4 percent in FY21-22, the highest in over a decade. A Fiscal Sustainability Analysis (FSA) based on the MTMF assumptions indicates that fiscal consolidation is critical to ensure fiscal sustainability. The fiscal situation significantly worsens if capital expenditures are maintained at current levels of 18.1 percent of GDP rather than reducing them to 10.2 percent in the medium term as assumed in the MTMF. The fiscal outlook depends crucially on the commissioning dates of the hydropower projects. Bhutan needs to prepare for contingent scenarios and create fiscal buffers that could protect the country from negative shocks
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  • 24
    Language: English
    Pages: 1 Online-Ressource (32 pages)
    Parallel Title: Erscheint auch als Fiuratti, Frederico Are Regional Fiscal Multipliers on EU Structural and Investment Fund Spending Large? A Reassessment of the Evidence
    Keywords: Agriculture ; Covid-19 Economic Recovery Package ; Environment ; EU Economies ; European Union ; Finance and Financial Sector Development ; Financial Crisis Management and Restructuring ; Fiscal Multiplier ; Green Issues ; Monetary Union ; Short-Term Regional Fiscal Stimulus ; Social Risk Management ; Sustainable Green Growth
    Abstract: The European Commission's "NextGenerationEU" COVID-19 recovery package has underscored interest in the size of regional fiscal multipliers in Europe. While the objective of these funds is the long-term transformation toward more sustainable green growth and digitalization in EU economies, several recent papers have also focused on their short-term stimulatory effects and have estimated large short-term regional multipliers on historical EU structural and investment fund spending. This has contributed to a view that EU funds can boost growth substantially not only in the long term, but also in the short term in countries receiving large flows, particularly in Central and Eastern Europe. This paper reevaluates the evidence by estimating regional short-term multipliers using recent data on EU fund spending and a leave-one-out predicted disbursement schedule instrument. In contrast with much of the recent literature, there is little evidence of large relative GDP multipliers at either the national or subnational level in the short term. This is despite a strong response of regional investment to EU funds, which often increases euro for euro. The results suggest that expectations should be tempered on using EU structural and investment funds as a tool for short-term regional fiscal stimulus, and instead policy makers may want to focus on the long-term benefits of EU funds, in line with their original purpose
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  • 25
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: IEG Independent Evaluations and Annual Reviews
    Keywords: Finance and Development ; Finance and Financial Sector Development ; Financial Support ; IDA ; Jobs ; Labor Markets ; Reform ; Social Protections and Labor
    Abstract: This evaluation is the first stage of the Independent Evaluation Group's assessment of the World Bank's support for more, better, and more inclusive jobs through International Development Association (IDA) financing, and it assesses the implementation of IDA-supported interventions directly supporting its jobs objectives across the three Replenishment cycles from fiscal years 2015 to 2022. Supporting the creation of more, better, and more inclusive jobs is critical towards achieving the goals of poverty reduction and shared prosperity in countries. This is especially true for countries that are eligible for International Development Association (IDA) financing. Since 2014, IDA has included jobs as a special theme, and subsequent IDA replenishments have had what this evaluation calls an 'IDA jobs strategy.' This strategy included explicit objectives, a series of policy commitments to achieve them, and results indicators to track them. This evaluation represents the first stage of the Independent Evaluation Group's assessment of the World Bank's performance in supporting more, better, and more inclusive jobs through IDA financing. It assesses the implementation of IDA-supported interventions that directly supported its jobs objectives across the three Replenishment cycles from fiscal years 2015 to 2022. The evaluation answers two questions: (i) To what extent IDA's strategy on jobs was grounded in sound analytics, adaptive, and operationally relevant (ii) To what extent the strategy has been translated into relevant and effective jobs interventions that directly address the objectives of more, better, and more inclusive jobs The scope of the evaluation is limited to the three main channels for achieving IDA jobs objectives: acting on labor demand, increasing labor supply, and improving labor market flexibility and geographic mobility. The report offers recommendations for further strengthening of the IDA jobs agenda towards the objective of supporting more, better, and more inclusive jobs
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  • 26
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Public Expenditure Review
    Keywords: Finance and Financial Sector Development ; Fiscal and Monetary Policy ; Macroeconomic Performance ; Macroeconomics and Economic Growth ; Public and Municipal Finance ; Public Expenditure ; Public-Private Partnership ; Revenue Mobilization ; State-Owned Enterprises (SOEs)
    Abstract: The Lao PDR is facing unprecedented macroeconomic challenges, which jeopardize hard-won development gains. Over the past two decades, the country attracted considerable foreign investment and fostered regional integration, which contributed to a long period of high economic growth. Many human development indicators improved during the period 2000-2019, including child and maternal mortality, school enrolment, income poverty, and gender equity. However, economic growth was predominantly driven by large-scale investments in capital intensive sectors, such as mining and hydropower, which created few jobs and entailed environmental costs. Moreover, many public investments were financed by external debt, gradually jeopardizing debt sustainability and macroeconomic stability. Long-standing structural vulnerabilities have been exacerbated by the impacts of the COVID-19 pandemic and adverse global macroeconomic conditions. Since 2021, the national currency has depreciated considerably, and inflation soared. This has had a large negative impact on living standards, with many households struggling to cope. Meanwhile, limited spending on education, health, and social protection is undermining human capital and thus economic growth prospects. Significant debt pressures, especially short-term external liquidity constraints, have pushed the country into debt distress. This Public Finance Review identifies priority reforms to restore macroeconomic stability and boost prosperity. The objective of this review is to assess recent macro-fiscal performance, evaluate emerging fiscal risks, and propose policy reforms to secure fiscal sustainability, restore macroeconomic stability, and promote shared prosperity. This report is comprised of five chapters covering the main aspects of fiscal management: chapter 1 evaluates recent macroeconomic performance while placing fiscal policy in the broader macroeconomic context. Chapter 2 assesses domestic revenue mobilization efforts and scope for reforms to enhance tax collection. Chapter 3 investigates the size and composition of public expenditure, as well as measures to increase its efficiency and effectiveness. Chapter 4 discusses reforms of state-owned enterprises with a view to improving their financial performance, operational management, and corporate governance. Chapter 5 documents the experience with public-private partnerships and provides recommendations to maximize value for money and reduce fiscal risks
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  • 27
    Language: English
    Pages: 1 Online-Ressource (40 pages)
    Parallel Title: Erscheint auch als Islamaj, Ergys The Sovereign Spread Compressing Effect of Fiscal Rules during Global Crises
    Keywords: Communicable Diseases ; Covid-19 Crisis ; Finance and Financial Sector Development ; Fiscal Rules ; Health, Nutrition and Population ; International Economics and Trade ; International Financial Markets ; International Trade and Trade Rules ; Sovereign Spreads
    Abstract: Do fiscal rules help suppress sovereign spreads during periods of global financial stress Yes! This paper examines whether fiscal rules contribute to mitigating sovereign spreads in emerging markets and developing economies during periods of heightened financial and economic volatility worldwide. It finds that the presence of fiscal rules is statistically significantly associated with lower sovereign spreads during the COVID-19 crisis -- about 350 basis points lower on average. Interestingly, this correlation persists even when nations deviate from these rules, indicating an expectation of post-crisis compliance. The study shows that deviations from fiscal rules are typically short-lived, with fiscal balance rules reinstated within 3.5 years. Robustness checks, including controls for institutional quality, fiscal rule strength, and global and regional factors confirm these results. Overall, the findings suggest that fiscal rules can help emerging markets and developing economies signal fiscal responsibility during episodes of global financial stress, reducing borrowing costs relative to countries without fiscal rules
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  • 28
    Language: English
    Pages: 1 Online-Ressource (54 pages)
    Parallel Title: Erscheint auch als Rodriguez, Laura Fiscal Policy, Poverty and Inequality in Jordan: The Role of Taxes and Public Spending
    Keywords: Finance and Development ; Finance and Financial Sector Development ; Fiscal Policy and Inequality ; Income Inequality ; Poverty and Social Impact ; Poverty Monitoring and Analysis ; Poverty Reduction ; Public Sector Development
    Abstract: Analysing who benefits from different taxes and spending is important to understand how fiscal policy is affecting poverty and inequality in Jordan. This study traces how the Jordanian fiscal system affects different households, while paying income tax and GST and benefiting from social assistance, and services, such as, cash transfers, electricity and water subsidies, education and health. The study finds that Jordan's current fiscal system is modestly progressive, but more could be achieved. Inequality, as measured by the Gini Index, falls 5.8 points between household market incomes and post-fiscal incomes (after paying income and consumption taxes as well as receiving government transfers and subsidized services). When considering only monetary taxes and benefits (that is, excluding non-cash education and health services), inequality falls by only 2.6 points and poverty would be almost the same as the official poverty rate. Nonetheless, the recent expansion of social assistance programs is making Jordan's fiscal policies more equalizing and there is scope for other reforms which would both close the fiscal gap while further reducing poverty and inequality
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  • 29
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Financial Sector Study
    Keywords: Consumer Protection ; Consumer Protection Law ; Corruption and Anticorruption Law ; Finance and Development ; Finance and Financial Sector Development ; Financial Capability ; Financial Consumer Protection ; Law and Development ; Social Protections and Assistance ; Social Protections and Labor
    Abstract: The 2022 Global State of Financial Inclusion and Consumer Protection (FICP) Report is an update to the 2013 and 2017 FICP reports. These surveys aim to provide a timely source of global data to benchmark efforts by financial sector authorities to improve the enabling environment for financial inclusion and consumer protection. To date, this is the only longitudinal and global survey of this nature. As such, this report serves as a valuable resource to shape the World Bank's country engagements, a reference document for regulators and supervisors and, finally, a tool for both public and private sector actors with an interest in knowing the developments in this sector. The Survey questionnaire covers key topics related to financial inclusion and financial consumer protection (FCP) and aligns with international guidance to financial sector authorities in these areas. Because the report aims to capture both a snapshot as well as trends over time, the survey questionnaire has been modified over the three cycles to reflect the changing policy and regulatory landscape of financial inclusion and consumer protection
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  • 30
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Mobility and Transport Connectivity
    Keywords: Finance and Development ; Finance and Financial Sector Development ; Financing ; Infrastructure ; Mobility ; Road Pricing ; Transport ; Urban Development
    Abstract: The document is structured into five chapters. Chapter 2 provides a comprehensive overview of the theoretical framework surrounding road pricing. It outlines the fundamental principles and characteristics of road pricing, while exploring the relationship between social equity and road pricing. Additionally, it addresses potential implementation challenges that may arise. The subsequent chapters offer summaries of international experiences in interurban pricing (Chapter.3) and urban pricing (Chapter 4). In the case of interurban pricing, a broad spectrum of approaches is examined, including traditional methods, concession tolls, and the latest trends in variable pricing within the European Union. Lastly, chapter 5 highlights the key trends in road pricing and provides recommendations based on the evidence presented throughout the document. This chapter serves to offer valuable insights for decision-makers, drawing from the comprehensive studies presented within the document
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  • 31
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Risk and Vulnerability Assessment
    Keywords: Access To Finance ; CPGA ; Environment ; Finance and Financial Sector Development ; Financial Preparedness ; Natural Disasters ; Primary Response ; Risk ; Social and Livelihood Support ; Social Protections and Assistance ; Social Protections and Labor
    Abstract: Crisis preparedness is cral to preventing shocks from becoming crises. Investments in ex ante preparedness are especially relevant in countries like Nepal that face high levels of exposure and vulnerability to a range of risks. In seeking to identify opportunities to strengthen the Government of Nepal's (GoN's) capacity to prepare for crisis events in an effective and timely manner, this Technical Annex presents findings from the application of the Crisis Preparedness Gap Analysis (CPGA) diagnostic in the country. It provides details on findings and entry points across the five componnts of crisis preparedness. For a summary, please refer to the accompanying CPGA Nepal Briefing Note. Following a brief description of the CPGA methodology, the Technical Annex presents a summary of findings from each CPGA component alongside identification of entry points and opportunities to strengthen crisis preparedness in the country. To provide a holistic assessment of preparedness, the CPGA focuses on five core components of crisis preparedness. These are (i) Legal and Institutional Foundations, (ii) Understanding and Monitoring Risks, (iii) FinancialPreparedness, (iv) Primary Response, and (v) Social and Livelihood Support
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  • 32
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource (40 pages)
    Parallel Title: Erscheint auch als Foster, James E Multidimensional and Specific Inequalities
    Keywords: Axioms ; Decompositions ; Finance and Development ; Finance and Financial Sector Development ; Inequality ; Lorenz Curves ; Measures ; Multidimensional Inequality ; Poverty Reduction
    Abstract: Despite the multitude of measures of multidimensional inequality, none is regularly used in policymaking. This paper proposes multidimensional inequality measures that are easily implementable and transparent and overcome many deficiencies of existing measures. The measures follow a traditional two-stage format, which aggregates dimensions first and then applies a unidimensional measure like the Gini coefficient to the distribution of aggregates. A novel characterization result identifies the precise form of aggregation needed to obtain axiomatically sound measures. The paper derives an additive decomposition formula -- breaking down multidimensional inequality into terms reflecting the average specific inequalities (within dimensions) and the joint distribution (across dimensions) -- for any measure created using a standard unidimensional measure or the Lorenz curve. The paper also provides an approach to calibrating the measure for use with data over time, replacing the usual ad hoc normalization of variables with one that accounts for a policymaker's normative weights. The technology is illustrated first using synthetic data to understand how the measure varies as the components are changed and then using data from Azerbaijan
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  • 33
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other ESW Reports
    Keywords: Adaptation to Climate Change ; Climate Change ; Climate Change Impacts ; Economic Policy ; Environment ; Environment and Natural Resource Management ; Finance and Financial Sector Development ; Green Growth
    Abstract: There is growing awareness globally about the potential impacts of climate change on financial stability. Climate-related financial risks can be broadly grouped into two categories: (i) climate physical risks, which are financial risks stemming from the gradual and abrupt impacts of climate change (primarily droughts and floods in the case of Morocco, as highlighted by the ongoing severe drought event and recent floods), and (ii) climate transition risks, which are financial risks that can result from the transition to a low-carbon economy, for example, due to changes in climate policy, technology, or market sentiment. The purpose of this report is to better understand the impact of these climate risks on Morocco's banking sector. This includes understanding the banking sector's exposure to sectors and regions that are vulnerable to climate physical and transition risks, as well as a quantification of climate impacts on banks' balance sheets under different scenarios. This report also takes stock of the Moroccan banking sector's current risk management practices and the supervisory response to climate-related financial risks
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  • 34
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Risk and Vulnerability Assessment
    Keywords: Disaster Finance ; DRFI ; Finance and Financial Sector Development ; Financial Crisis Management and Restructuring ; NCA ; North Central America
    Abstract: The objective of this feasibility study is to identify disaster risk finance and insurance (DRFI) solutions for up to 1.9 million family farmers in El Salvador, Guatemala, and Honduras. This study is motivated by an emerging consensus on the need to design and implement large-scale DRFI solutions to improve the financial resilience of family farmers in North Central America (NCA) and reduce their vulnerability to extreme weather events and climate risks. The feasibility study provides an initial assessment of the technical, operational, financial, and policy considerations for developing and implementing DRFI solutions for family farmers in NCA. The feasibility study considers lessons learned from existing large-scale DRFI solutions in peer countries as well as ongoing programs and pilots in NCA
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  • 35
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other ESW Reports
    Keywords: Finance and Financial Sector Development ; Matching Grants ; Mutual Funds ; Science and Technology Development ; Tech Incubator Program for Startup ; Technology Innovation ; Tips
    Abstract: This report investigates the case of a Korean public-private matching grant program called the Tech Incubator Program for Startup (TIPS). Launched in 2013, the program provides a package of support to selected startups, including matching grant for research and development (R and D) and mentorship, for up to three years. After ten years in operation, TIPS is particularly well suited to answer the question of whether public funding can help startups innovate and subsequently improve their performance. Using a dataset that includes 1,650 startups that applied for TIPS between 2013 and 2020, this research analyzes the effects of TIPS on recipients' performance and offers empirical evidence to inform entrepreneurship policy. The results show that TIPS positively affected startup performance one year after selection in terms of innovation input and output, although it did not have a significant effect on revenue or research collaboration activities. The report concludes with five lessons derived from Korea's policy experience in designing and implementing TIPS: (i) a well-designed coordination mechanism may serve as a viable public-private partnership model for fostering innovative startups, (ii) a co-investment model can crowd in private investment and achieve a multiplier effect by reducing the risk of investment in early-stage startups, (iii) complementary supports that target different stages of the startup lifecycle are needed, (iv) patient capital and continuity in entrepreneurial policy with a long-term view are key to nurturing a vibrant entrepreneurial ecosystem, and (v) constant engagement with beneficiaries through data collection and monitoring enables the development of a dynamic monitoring and evaluation mechanism
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  • 36
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource (43 pages)
    Parallel Title: Erscheint auch als Letta, Marco Climate Immobility Traps: A Household-Level Test
    Keywords: Adaptation ; Adaptation To Climate Change ; Causal Forests ; Climate Change Impacts ; Climate Migration ; Environment ; Finance and Financial Sector Development ; Household Data ; Housing Finance ; Immobility Traps
    Abstract: The complex relationship between climate shocks, migration, and adaptation hampers a rigorous understanding of the heterogeneous mobility outcomes of farm households exposed to climate risk. To unpack this heterogeneity, the analysis combines longitudinal multi-topic household survey data from Nigeria with a causal machine learning approach, tailored to a conceptual framework bridging economic migration theory and the poverty traps literature. The results show that pre-shock asset levels, in situ adaptive capacity, and cumulative shock exposure drive not just the magnitude but also the sign of the impact of agriculture-relevant weather anomalies on the mobility outcomes of farming households. While local adaptation acts as a substitute for migration, the roles played by wealth constraints and repeated shock exposure suggest the presence of climate-induced immobility traps
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  • 37
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Urban Study
    Keywords: Energy ; Energy Efficiency ; Energy Production and Transportation ; Environment ; Environment and Natural Resource Management ; Finance and Development ; Finance and Financial Sector Development ; Human Development and Gender ; Private Sector Development
    Abstract: In December 2021, the Royal Government of Cambodia (RGC) published Cambodia's Long-Term Strategy for Carbon Neutrality (LTS4CN), which outlines the country's vision in achieving a carbon-neutral economy by 2050. As part of the long-term strategies to achieve net-zero emissions, the RGC set targets for decarbonizing the transportation sector through a combination of measures, including electrifying 70 percent of motorcycles, and 40 percent of cars and urban buses by 2050. It also aims to have 30 percent of mode share by public transport in cities by 2050
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  • 38
    Online Resource
    Online Resource
    Washington, D.C : The World Bank
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Public Sector Study
    Keywords: Disease Control and Prevention ; Finance and Financial Sector Development ; Health Economics and Finance ; Health Monitoring and Evaluation ; Public Sector Accounting Analysis ; Public Sector Accounting Management ; Public Sector Development
    Abstract: The PULSE web-based tool facilitates the management of a PULSE assessment. Since the assessment process may take up to six months and involves many experts to perform tasks (like scoring and quality assurance), the PULSE Tool enables the process to be managed easily in a logical, methodical way. It guides the Assessment Team Leader and other experts through the assessment lifecycle such that no important step can be overlooked. The PULSE Tool is available 24*7 and also contains a communications module that keeps all the experts informed of progress. The PULSE Handbook contains all the details and definitions of the assessment process. This manual assumes that users are at least familiar with the handbook and the assessment process. In the introductory paragraphs that follow, important concepts that pertain to use of the PULSE Tool will be reiterated for the convenience of users
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  • 39
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    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    ISBN: 9783031541360
    Language: English
    Pages: 1 Online-Ressource(XVII, 809 p. 8 illus.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Social sciences ; Anthropology. ; Economic history.
    Abstract: Chapter 1. Introduction -- Chapter 2. Philosophy and Money: The Ancient Near East -- Chapter 3. Philosophy and Money in Ancient Egypt -- Chapter 4. Premodern Indian Philosophical Commitments and “Money” -- Chapter 5. Classical Chinese Monetary Theory -- Chapter 6. The Philosophy of Money in Early Judaism (500 BCE–100 CE) -- Chapter 7. Yorùbá Philosophy and Changing Views of Money -- Chapter 8. Money and Metaphysics Among the Maya and Nahua -- Chapter 9. Money and Presocratic Philosophy -- Chapter 10. Sophists and Money -- Chapter 11. The Oligarch, the Philosopher, and Hoarding in Plato -- Chapter 12. Xenophon on Money and its Right Use -- Chapter 13. The Cynics and Money -- Chapter 14. Aristotle: Slavery, Inequality, and Money -- Chapter 15. Roman Mythical Thought and the Origins of Coinage -- Chapter 16. Cicero on Money and Property -- Chapter 17. Seneca and the Uses of Money -- Chapter 18. Pliny the Elder on Money -- Chapter 19. Coinage and Money in the Roman Jurists’ Thought -- Chapter 20. Money in Imperial Roman Law -- Chapter 21. Rabbis, Money, and Jewish Solidarity in the Roman Empire -- Chapter 22. God, Money, and the 99%: Contextualizing the New Testament -- Chapter 23. A Perilous Concept: Philosophies of Money in Early Christian Thought -- Chapter 24. Islamic Thought on Interest and Usury -- Chapter 25. Usury in Medieval Jewish Thought -- Chapter 26. “Ipsius consumptio sive distractio”: Money, Interest, and Capital in Thomas Aquinas -- Chapter 27. Usury in Medieval Christianity -- Chapter 28. Exchanging Money for Money: Late-Scholastic Thought in Early Modern Spain -- Chapter 29. Money as Metaphor and Symbol: From the Patristic Era to the Twelfth Century -- Chapter 30. Money, Debt, and Morals in Anselm of Canterbury -- Chapter 31. Money and Muslim Philosophers -- Chapter 32. Philosophy of Money in Islam -- Chapter 33. Mensurantur enim omnia nummismate: The Impact of Money and Monetization on Vital New Directions in Scholastic Philosophy, ca. 1250–1350 -- Chapter 34. The Vision of Money in the Writings of Christine de Pizan -- Chapter 35. Philosophy of Money in Renaissance France.
    Abstract: The Palgrave Handbook of Philosophy and Money surveys the role of money in the history of ideas. Volume 1: Ancient and Medieval Thought explores the worldviews of societies in the process of monetization. The volume is divided into sections on early Civilizations, classical Greece, the Roman era, and Medieval and Renaissance thought. Joseph J. Tinguely is associate professor of philosophy at the University of South Dakota. He is the author of Kant and the Reorientation of Aesthetics: Finding the World (2017). .
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  • 40
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Palgrave Macmillan
    ISBN: 9783031541407
    Language: English
    Pages: 1 Online-Ressource(XIV, 775 p. 2 illus.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Social sciences ; Anthropology. ; Economic history.
    Abstract: Chapter 1. Introduction -- Chapter 2. The Demythification of Gold in the Spanish Enlightenment: Money, Commerce, and Market -- Chapter 3. Locke, Money, and America -- Chapter 4. Spinoza on Money and Social Desire -- Chapter 5. J’ai fort medité autresfois sur cette matière: Philosophy and Money in Leibniz -- Chapter 6. The Amsterdam Stock Exchange and the Metaphysics of Capitalism: A Reading of Joseph de la Vega’s Confusión de confusions -- Chapter 7. Marriage, Money, and Women’s Independence in the Modern Era -- Chapter 8. Exciting the Industry of the Irish: Bishop Berkeley’s Philosophy of Money -- Chapter 9. Hume’s Philosophy of Money -- Chapter 10. Rousseau and Money -- Chapter 11. Adam Smith on Money: A Condemnation of Mercantilism -- Chapter 12. “Tickets of Despotism”: Edmund Burke on the Assignats, Abstract Theory, and the French Revolution -- Chapter 13. Kant, Innes, and the Copernican Turn in Monetary Theory -- Chapter 14. Money in Fichte’s The Closed Commercial State -- Chapter 15. Money in Hegel’s Philosophy -- Chapter 16. Adam Müller on Money -- Chapter 17. Philosophy, Money and Emancipation: The Women Philosophers of German Romanticism -- Chapter 18. The Materialist God: Marx’s Critique of Money -- Chapter 19. Nietzsche on Transcending Money -- Chapter 20. Suspect Paper: Money in Romanticism -- Chapter 21. Georg Simmel: The Analytics of Money -- Chapter 22. Cash Rules Everything Around Me: Georg Simmel’s The Philosophy of Money -- Chapter 23. Max Weber on Money -- Chapter 24. Money and Philosophy in Vienna: Otto Neurath and Ludwig Wittgenstein -- Chapter 25. Spontaneity as a Concept of General Significance: The Austrian School on Money and Economic Order -- Chapter 26. Anscombe on Money, Debt, and Usury -- Chapter 27. On the Sociality of Money According to Emmanuel Levinas -- Chapter 28. Psychoanalytic Currency: Money, Commensurability, and Clinical Economies from Freud to Lacan -- Chapter 29. Money, Women, and Philosophy in the Twentieth Century: Living Currencies and the Gender of Capital -- Chapter 30. Money in Critical Theory: Pollock, Adorno, Habermas -- Chapter 31. Alfred Sohn-Rethel and Rudolf-Wolfgang Müller: The Idea of Money and Money as Idea -- Chapter 32. Liberation and Monetary Policy in Cabral and Pan-African Materialism -- Chapter 33. In Debt to Derrida: Deconstruction and Monetary Criticism -- Chapter 34. Michel Foucault and Money -- Chapter 35.John Searle’s Ontology of Money and Its Critics.
    Abstract: The Palgrave Handbook of Philosophy surveys the role of money in the history of ideas. Volume 2: Modern Thought examines the treatment of money in the writings of philosophers from the emergence of capitalism through the 20th century. The volume is divided into sections on Early Modernity, Late Modernity, and the Twentieth Century. Volume 2 presents an alternative history of modern philosophy in which monetary relations are both an explicit theme and an implicit condition of philosophical reflection. Joseph J. Tinguely is associate professor of philosophy at the University of South Dakota. He is the author of Kant and the Reorientation of Aesthetics: Finding the World (2017). .
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  • 41
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819985012
    Language: English
    Pages: 1 Online-Ressource(XX, 817 p. 298 illus., 249 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 378
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Sustainable architecture. ; Renewable energy sources.
    Abstract: Vacuum Insulation Panels for Domestic New Builds and Refurbishment in Scotland -- Environment Performance Criteria as Means for Green Public Procurement -- A Conceptual Framework for a Sustainable Building Rating System -- Experimental comparison between a diffuse insulation masonry and a traditional lightweight insulated wall -- A Technical Review on Blue and Blue-Green Roofs.
    Abstract: This book contains the proceedings of the 15th KES International Conference on Sustainability and Energy in Buildings 2023 (SEB2023) held in Bari, Italy, during September 18–20, 2023, organized by KES International. SEB23 invited contributions on a range of topics related to sustainable buildings and explored innovative themes regarding sustainable energy systems. The conference formed an exciting chance to present, interact, and learn about the latest research and practical developments on the subject. The conference attracted submissions from around the world. Submissions for the full-paper track were subjected to a blind peer-reviewed process. Only the best of these were selected for presentation at the conference and publication in these proceedings. It is intended that this book provides a useful and informative snapshot of recent research developments in the important and vibrant area of sustainability in energy and buildings. .
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  • 42
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819703531
    Language: English
    Pages: 1 Online-Ressource(XI, 170 p. 60 illus., 45 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Springer Tracts in Nature-Inspired Computing
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Mathematical optimization. ; Algorithms.
    Abstract: Chapter 1 : An Introduction to Multi-objective Optimization using Meta-heuristic Algorithms: Techniques and Applications -- Chapter 2 : Counterfactual Explanations and Federated Learning for Multi-objective Optimization -- Chapter 3: Multi-objective Adaptive Guided Differential Evolution for Passively Controlled Structures Equipped with Tunned Mass Damper -- Chapter 4: Evolutionary Approaches for Multi-objective Optimization and Pareto-Optimal Solution Selection in Data Analytics -- Chapter 5 : Multi-objective Lichtenberg Algorithm for Optimum Design of Truss Structures -- Chapter 6 : Performance Analysis of Multi-objective Function-Based Fractional PID Controller for System Frequency Regulation -- Chapter 7: Multi-Modal Routing in Urban Transportation Networks using Multi-objective Quantum Particle Swarm -- Chapter 8 : Plant Leaf Disease Localization and Severity Measurement using Multi-objective Ant Colony Optimization -- Chapter 9 : Multi-objective Feature Selection: A Comprehensive Review -- Chapter 10 :Enhancing Feature Selection using Multi-objective Optimization Concept.
    Abstract: The book explains basic ideas behind several kinds of applied multi-objective optimization and shows how it will be applied in practical contexts in the domain of healthcare, engineering design, and manufacturing. The book discusses how meta-heuristic algorithms are successful in resolving challenging, multi-objective optimization issues in various disciplines, including engineering, economics, medical and environmental management. The topic is useful for graduates, researchers and lecturers in optimization, engineering, management science and computer science. .
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  • 43
    ISBN: 9789819983247
    Language: English
    Pages: 1 Online-Ressource(XXVII, 630 p. 194 illus., 157 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 839
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Quantitative research.
    Abstract: 1. Exploring Practical Applications of Blockchain in Waste Management: Insights from Industry Experts -- 2. Uncovering Hidden Connections: Granular Relationship Analysis in Knowledge Graphs -- 3. Visually Detecting Drones in Drone Swarm Formations Topologies -- 4. Comparison of deep learning and machine learning algorithms to diagnose and predict breast cancer -- 5. Overcoming the Challenges of Data Harmonization: A platform approach from Li-Ion Battery Research -- 6. Exploring the effects of technology in fintech industry: a literature review to provide a research agenda -- 7. Effectiveness Of Internal Evaluation Matrices For Community Detection Based On Clustering.
    Abstract: This book includes high-quality papers presented at 17th International Conference on Information Technology and Applications (ICITA 2023), held in Turin, Italy during 20 – –22 October 2023. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modelling, human computer interaction, online learning /e-learning, computer networks, and web engineering.
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  • 44
    ISBN: 9789819990375
    Language: English
    Pages: 1 Online-Ressource(XVIII, 476 p. 220 illus., 184 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 868
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Robotics.
    Abstract: 1. A Simple way to predict Heart Disease using AI -- 2. Automating Dose Prediction in Radiation Treatment Planning using Self-Attention based Dense Generative Adversarial Network -- 3. Track Learning Agent using Multi-Objective Reinforcement Learning -- 4. Performance Assessment of Gaussian Filter Based Image Fusion Algorithm -- 5. A Cognitive Comparative Analysis of Geometric Shape-based Cryptosystem -- 6. A Lesion Feature Engineering Technique based on Gaussian Mixture Model to Detect Cervical Cancer -- 7. Energy Optimization of Electronic Vehicle Using Blockchain Method -- 8. Pattern Recognition: An Outline of Literature Review that Taps into Machine Learning to Achieve Sustainable Development Goals -- 9. Novel Approach for Stock Prediction using Technical Analysis & Sentiment Analysis -- 10. Visualizing and Exploring the Dynamics of Optimization via Circular Swap Mutations in Constraint-Based Problem Spaces.
    Abstract: This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
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  • 45
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819986491
    Language: English
    Pages: 1 Online-Ressource(XXIV, 195 p. 156 illus., 27 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 381
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Mathematical optimization. ; Computer simulation.
    Abstract: The book focuses on modeling real-world crisis management in digital product development. This includes models and methods for forecasting, responding, and agile engineering/managing for sustainable product development. This book suggests an approach that contains principles, formal models, and semi-formal practice-oriented methods, patterns and techniques to efficiently manage these crises and provide sustainable development. The book also introduces a set of principles, models, and methods for sustainable management as a blend, the components of which have been carefully selected from a few domains adjacent to digital production such as IT-intensive operation, human resource management, and knowledge engineering, to name a few. The key ingredients of this crisis management framework include smart data modeling, trade-off optimizing, agile product controlling, and knowledge transferring.
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  • 46
    ISBN: 9789819710997
    Language: English
    Pages: 1 Online-Ressource(VIII, 468 p. 349 illus., 294 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1176
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. Improved Factor Graph Algorithm for Adaptive Weight Function Based on Residual Adjustment -- Chapter 2. Design of Dual-rotor Vehicle Controller Based on Auto Disturbance Rejection -- Chapter 3. SLAM Loopback Detection and Down Sampling Optimization in Unattended Patrol Environment -- Chapter 4. OC-DWA: an improved dynamic window approach for USV online planning considering ocean currents -- Chapter 5. A Lightweight RGB-D Image-Based 3D Object Detector for Mobile Robots -- Chapter 6. Adaptive Control of Path Tracking Based on Improved Pure Pursuit Algorithm -- Chapter 7. LuoJia-Explorer: Unmanned Collaborative Localization and Mapping System -- Chapter 8. An effectiveness evaluation methodology of reconnaissance/strike UAV formation based on OODA -- Chapter 9. Fast Autonomous Exploration with Sparse Topological Graphs in Large-Scale Environments -- Chapter 10. LiDAR-based small-sized obstacles detection for mobile robot, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
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  • 47
    ISBN: 9789819988945
    Language: English
    Pages: 1 Online-Ressource(XII, 238 p. 48 illus., 40 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 380
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication. ; Politics and war. ; Signal processing.
    Abstract: Strategic positions of actors related to the defense industry in Ecuador -- Critical Factors on Lean Implementation to the Portuguese Aeronautic Industry -- Prioritization of Maintenance Repair Overhaull Capabilities Development for Military Aviation -- Evaluation of different substrates for electrodeposition of riboflavin films for determination of boric acid in eye drops -- Integrating random linear network coding and content delivery networks for reduced latency in heterogeneous network processing of mobile devices -- Artificial Intelligence Applications in Military Logistics Operations -- Artificial Intelligence Based Drowsiness Detection System for Driver Safety -- Impact of an Augmented Reality Environment in Learning Computer Networks Principles -- The impact of numerical shifts on the field artillery firing accuracy -- Management of operational usability requirements: the key to saving resources and good performance of military materials -- ChatGPT to motivate Critical Thinking inthe teaching-learning process of first semester students at the Technical University of Ambato -- Digital and traditional channels in the internal communication of a university in Peru -- Characteristics of Leadership in a Military Context: Systematic Literature Review by PRISMA Method -- Brand image mediated by satisfaction through organizational culture and cultural hierarchy. A study in the technical school of the army -- Open RCS: an open-source platform for numerical evaluation of Radar Cross Section of 3D targets -- Intrinsic and Existential Risks Due to Dual-Use Tools.
    Abstract: This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS 2023), held at Graduate School of the Colombian Air Force, in Bogota, Colombia, during July 6–8, 2023. It covers a broad range of topics in systems, communication, and defense; strategy and political–administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike.
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  • 48
    ISBN: 9789819713295
    Language: English
    Pages: 1 Online-Ressource(XVIII, 519 p. 239 illus., 206 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 948
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: Chapter 1: Analytics of Machine Learning in Healthcare Industries -- Chapter 2: Design and Implementation of First in First out (FIFO) Buffer for distributed load balancing systems -- Chapter 3: Artificial Neural Networks-based Forecasting to Anticipate the Indian Stock Market -- Chapter 4: A Framework for Real Time Crowd Behaviour Monitoring System based on Human Activity Recognition in Surveillance Videos -- Chapter 5: STM32 Based Home Automation and Energy Monitoring System with TFT Display -- Chapter 6: Smart Rover for Farm Pesticide Spraying -- Chapter 7: Emergency Alert and Adaptive Traffic Signal System Using Machine Learning -- Chapter 8: Design of a chatbot for relieving academic stress in adolescent students -- Chapter 9: Mental Health Predictive Analysis using Machine Learning Techniques -- Chapter 10: Crime Prediction and Prevention Using Design Intervention and Artificial Intelligence. etc.
    Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
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  • 49
    ISBN: 9789819710959
    Language: English
    Pages: 1 Online-Ressource(IX, 511 p. 329 illus., 289 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1175
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. An AUV Docking Approach based on Image-based Visual-Servoing and Modified Super-Twisting Sliding Mode Control -- Chapter 2. Time and Energy Optimal Path Planning of USV under Time-Varying Ocean Currents -- Chapter 3. Comparative study on wave disturbance prediction methods for the modeling of maneuvering motion -- Chapter 4. Simulation Technology of Unmanned Surface Vehicle Cluster Based on Digital Modeling -- Chapter 5. An improved YOLOv5 approach for multi-object detection of unmanned surface vehicles -- Chapter 6. Improvement of bacterial foraging algorithm for heading control of Unmanned Surface Vessel -- Chapter 7. Research on performance boundary test scenario clustering generation method for ship autonomous collision avoidance algorithm -- Chapter 8. Design of Course Controller for Unmanned Surface Vehicles Considering Complex Environment Interference -- Chapter 9. Variable structure water-air amphibious trans-media vehicle concept design and characteristic analysis -- Chapter 10. Underwater small target detection based on improved YOLOv7, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
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  • 50
    ISBN: 9789819713233
    Language: English
    Pages: 1 Online-Ressource(X, 490 p. 150 illus., 80 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 946
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: Chapter 1: YOLOv8: Advancements and Innovations in Object Detection -- Chapter 2: Anxiety, Depression Red Flag Marker in Social Media -- Chapter 3: Object Detection and Tracking Approach for Traffic Monitoring -- Chapter 4: Detection of malnutrition in children using Deep Learning model -- Chapter 5: Multilingual Indian Covid-19 Chatbot -- Chapter 6: Blockchain, IoT and Smart Grids Challenges for Energy Systems -- Chapter 7: IAM Dataset-Based Author Identification via Convolutional Neural Networks -- Chapter 8: Design of low power Booth multiplier with enhance pre-logic mechanism using Verilog -- Chapter 9: Novel Statistical Glaucoma Prediction Algorithm based on Spectral Analysis -- Chapter 10: A Comparative Study of Audio Source Separation Techniques on Indian Classical Music: Performance Evaluation and Analysis. etc.
    Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
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  • 51
    ISBN: 9789819711116
    Language: English
    Pages: 1 Online-Ressource(XX, 406 p. 178 illus., 150 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Innovations in Sustainable Technologies and Computing
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Cloud Computing. ; Internet of things. ; Computer networks
    Abstract: This book features research papers presented at the Second International Conference on Recent Advancements in Artificial Intelligence (ICRAAI 2023), held at Poornima University, Jaipur, India during 15 – 16 December 2023. The book presents original research work in the areas of computational intelligence, artificial intelligence, machine learning, data science and data analytics, cloud computing, and internet of things. The book is beneficial for readers from both academia and industry.
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  • 52
    ISBN: 9789819713134
    Language: English
    Pages: 1 Online-Ressource(XX, 489 p. 191 illus., 148 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 949
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: Chapter 1: A Structure for Forecasting Stomach Cancer Using Deep Learning and Advanced Tongue Characteristics -- Chapter 2: Smart Rack System Using AI -- Chapter 3: "Enhancing Pneumonia Detection Accuracy through ResNet-Based Deep Learning Models and Ensemble Techniques: A Study Using Chest X-Ray Images" -- Chapter 4: Polisentix : Political Sentiment Analyser -- Chapter 5: An Interactive Smartphone Application to Manage Youth Loneliness -- Chapter 6: The Integral Significance of Data Science in Startup Ecosystems -- Chapter 7: Comparing Object Detection Models for Public Safety -- Chapter 8: Evolution of ChatGPT and different language models: A Review -- Chapter 9: Emotion Detection for the Blind using Deep Learning -- Chapter 10: Impact of Feature Normalization Techniques for Recognition of Speech for Mathematical Expression. etc.
    Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
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  • 53
    ISBN: 9789819719235
    Language: English
    Pages: 1 Online-Ressource(XXX, 647 p. 311 illus., 234 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 961
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer vision. ; Internet of things.
    Abstract: CDSER: Sentiment Analysis for Product Selection to Enhance E-commerce Review System -- Deep Learning Approach to Compose Short Stories Based on Online Hospital Reviews of Tirunelveli Region -- Novel Insights into SAR Analysis of Human Head at 5G mmWave Frequencies -- Music Emotion Recognition for Intelligent and Efficient Recommendation Systems -- A New Time-Domain Diffraction Coefficient for Dielectric Obstacles -- BScFilter: A Deep Learning Approach for Sports Comments Filtering in a Resource Constraint Language -- HABE Secure Access at Cloud-Healthcare Database -- Effective Performance of Low-resource Bangla Fake News Detection using Deep Convolutional Neural Networks -- Effect of Eulers Number on Signature Verification System -- The Prediction of Diabetes Using Machine Learning in the Health Care System -- Multichannel Deep Learning Network based Automatic Modulation Classification in Presence Of Symmetric Alpha Stable Distributed Impulsive Noise -- Enhanced Security in e-Tendering System using Blockchain with Efficient Smart Contracts and Hybrid Cryptography -- Enhancing Scalability in Sharding Blockchain via Interoperability Protocol -- Development of Blockchain-Enabled E-Healthcare Appointment System -- A Novel Approach for Object Recognition in Hazy Scenes: Integrating YOLOv7 Architecture with Boundary Constrained Dehazing -- Improving file storage security by Authenticating the Cipher Text -- Malicious Activity Monitoring and Preventing in WSN using Network Screening -- Dynamic Multihead Attention for Enhancing Neural Machine Translation Performance -- An Active Wave Filter Design Employing Current Controlled Differential Difference Current Conveyor -- Scratch Vision Transformer Model for Diagnosis Grape Leaf Disease -- Multilevel association mining with particle swarm optimization: a comprehensive approach for high-utility itemset discovery -- Use of deep Learning to handle early-stage Business Data -- An efficient text-based document categorization with k-means and cuckoo search optimization -- An efficient text-based document categorization with k-means and cuckoo search optimization -- An optical quantum computer that uses both quantum logic gate and quantum annealing.
    Abstract: This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce and industry. It is a collection of selected conference papers presented at the 5th International Conference on Trends in Cognitive Computation Engineering (TCCE 2023), organized by Pranveer Singh Institute of Technology, Kanpur Uttar Pradesh, India in collaboration with IIOIR, Shimla, Himachal Pradesh, India, during 24 – 25 November 2023. The book is divided into two volumes, and it shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.
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  • 54
    ISBN: 9789819713202
    Language: English
    Pages: 1 Online-Ressource(XVII, 518 p. 206 illus., 152 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 945
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: Chapter 1: Cancer Classification using Gene Expression Data -- Chapter 2: A Three-Phase Heart Rate Variability Analysis for Assessing Cardiac Health Deterioration in Diabetics -- Chapter 3: RIGHT TO BE FORGOTTEN: A HUMAN RIGHTS BASED APPROACH FOR GOVERNANCE IN GENERATIVE AI -- Chapter 4: "Correlation of Emotional Intelligence and Perceived Stress: A Comprehensive Analysis" -- Chapter 5: Use of CNNs for Estimating Depth from Stereo Images -- Chapter 6: An AI and IoT Based Smart Green Home Sustainability -- Chapter 7: Automated Gym Exercise Form Checker: Deep-Learning Based Pose Estimation -- Chapter 8: Virtual Reality Based Pedagogical Framework for Design Education -- Chapter 9: Routing strategies for Quality of Service Optimization over Vehicular Ad-hoc Networks: A Review -- Chapter 10: A Review of Plant Classification using Deep Learning Models. etc.
    Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
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  • 55
    ISBN: 9789819990436
    Language: English
    Pages: 1 Online-Ressource(XVIII, 426 p. 139 illus., 103 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 865
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Robotics.
    Abstract: 1. Insights into Age-Related Macular Degeneration Detection: A Comprehensive Review of OCT Image Analysis -- 2. An adaptive detection mechanism for IoT devices anomalies using AI/ML based on user pattern -- 3. Automated Verification of the Correctness of Transitions Between Elements of a Mobile Application Using Source Code Generation Tools -- 4. Mute Mate: An Advanced Lip-Reading Solution for Mute Participants in Virtual Conferences -- 5. An insightful analysis of pre-processing methods used in EEG signals for computer assisted cognitive domain -- 6. Understanding Individual Emotional Responses: Analyzing Variations and Introducing Personal Emotional Bias in Kannada Opinion Data set -- 7. A Survey on Feature Selection, Classification and Optimization Techniques for EEG Based Brain Computer Interface -- 8. Mean Teacher Model with Consistency Regularization for Semi-Supervised Detection of COVID-19 using Cough Recordings -- 9. Multimodal Early Fusion Strategy Based on Deep Learning Methods forCervical Cancer Identification -- 10. Comparing Online and Face-to-Face Training with Employees Perspective.
    Abstract: This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
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  • 56
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819911769
    Language: English
    Pages: 1 Online-Ressource(XVI, 468 p. 161 illus., 149 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering mathematics. ; Computer simulation. ; Computer programming.
    Abstract: Introduction to MATLAB -- Essentials in MATLAB Programming -- MATLAB Flow Control Structures -- MATLAB Functions Programming -- MATLAB Graphics -- Object-oriented Programming -- Calculus and Integral Transforms -- Linear Algebra and Matrix Analysis -- Algebraic Equation Solutions -- Ordinary Differential Equation Solutions -- Optimization Problem Solutions -- Data Processing and Statistics -- Modeling and Simulation with Simulink -- More on Simulink Modeling and Simulation.
    Abstract: The textbook is intended for teaching MATLAB language and its applications. The book is composed of three parts: MATLAB programming, scientific computing with MATLAB, and system simulation with Simulink. Since MATLAB is widely used in all fields of science and engineering, a good introduction to the language can not only help students learn how to use it to solve practical problems, but also provide them with the skills to use MATLAB independently in their later courses and research. The three parts of the book are well-balanced and tailored to the needs of engineering students, and the mathematical problems commonly encountered in engineering can be easily solved using MATLAB. This textbook is suitable for undergraduate and graduate students majoring in science and engineering.
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  • 57
    ISBN: 9789819714889
    Language: English
    Pages: 1 Online-Ressource(XVI, 717 p. 279 illus., 241 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer vision. ; Natural language processing (Computer science). ; Game theory.
    Abstract: The book presents selected papers from International Conference on Multi-Strategy Learning Environment (ICMSLE 2024), held at Graphic Era Hill University, Dehradun, India, during 12–13 January 2024. This book presents current research in machine learning techniques, deep learning theories and practices, interpretability and explainability of AI algorithms, game theory and learning, multi-strategy learning (MSL) in distributed and streaming environments, and adaptive data analysis and selective inference.
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  • 58
    ISBN: 9789819733361
    Language: English
    Pages: 1 Online-Ressource(X, 703 p. 359 illus., 303 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1207
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Signal processing. ; Computational intelligence. ; Multiagent systems. ; System theory. ; Control theory.
    Abstract: This book includes original, peer-reviewed research papers from the 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2023), held in Nanjing, China on November 17-19, 2023. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment. The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike.
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  • 59
    ISBN: 9789819715497
    Language: English
    Pages: 1 Online-Ressource(XXXII, 450 p. 227 illus., 171 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Advances in Intelligent Systems and Computing 1455
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Signal processing. ; Image processing ; Computer vision. ; Music ; Music
    Abstract: Framework for Detecting Toxic speech using BERT and Deep Learning -- Speech Emotion Classification Using Deep Learning -- ML Based Application for Enhanced Communication With Specially Abled Children -- Acoustic Phonetic Analysis of Vowels of Native Bengali Speakers with Parkinson’s Disease -- Recent Advancement in Accent Conversion using Deep Learning Techniques: A comprehensive review -- Speech Enhancement: Traditional and Deep Learning Techniques -- Continuing CompMusic: New approaches in the computational analysis of Carnatic Music -- An Ethnomusicological study of Darpawngi’s Mizo folksongs: A Cantometric Experiment -- An approach of similarity measure in Hindustani music -- Ornamentation in Hindustani vocal music -- A comparative Study of the non-nasal and nasal voice in Hindustani vocal music -- Regression Approach for Shruthi Identification from Indian Classical Instrumental Polyphonic Audio -- Music-Evoked Emotion Classification from EEG: An Image Based CNN Approach -- Perception of Devotion and Happiness in Indian Spiritual Music: An Acoustical and Audience Response Exploration -- Identifying Correlations Between Hindustani Music And The Brain: A Nonlinear EEG based exploration -- Representation and Analysis of Dynamics for Automatic Music Assessment in Hindustani Vocal Music -- Emotion and Instrument audio classification of Indian Classical Music recordings using transformers -- Styles and Rhythms of musical transitions in Indian Ragas: An Acoustical Exploration -- A statistical approach to the acoustical analysis of harmonics and timbre of tabla strokes.
    Abstract: This book features original papers from 27th International Symposium on Frontiers of Research in Speech and Music (FRSM 2023), jointly organized by Sardar Vallabhbhai National Institute of Technology, Surat, India, and Sir C.V. Raman Centre for Physics and Music, Jadavpur University, Kolkata, India, during 4–5 August 2023. The book is organized into four main sections, considering both technological advancement and interdisciplinary nature of speech, music, language and their applications. The first section includes chapters related to computational, modelling and cognitive aspects of the speech signal. The second part contains chapters covering the foundations of both vocal and instrumental music processing with the signal, computational and cognitive aspects. The third section relates to the variety of research being done in the peripheral areas of languages and linguistics with special focus on regional languages of India. A lot of research is being performed within the speech and music information retrieval domain which is potentially interesting for most users of computers and the Internet. Therefore, the fourth and final section is dedicated to the chapters related to multidisciplinary applications of speech and music signal processing.
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  • 60
    ISBN: 9789819733323
    Language: English
    Pages: 1 Online-Ressource(X, 689 p. 334 illus., 271 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1206
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Signal processing. ; Computational intelligence. ; Multiagent systems. ; System theory. ; Control theory.
    Abstract: This book includes original, peer-reviewed research papers from the 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2023), held in Nanjing, China on November 17-19, 2023. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment. The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike.
    Library Location Call Number Volume/Issue/Year Availability
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  • 61
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819715411
    Language: English
    Pages: 1 Online-Ressource(XI, 259 p. 69 illus., 12 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Dynamics. ; Nonlinear theories. ; Computational intelligence.
    Abstract: 1 Fuzzy Inference Systems -- 2 Neural Networks -- 3 Optimization Algorithms -- 4 Modeling and Control of Nonlinear Dynamic Systems -- 5 Online Sequential Fuzzy Extreme Learning Machine -- 6 Sequential Adaptive Fuzzy Inference System -- 7 Evolving Fuzzy Systems based on Data Clouds -- 8 Stability of A Class of Evolving Fuzzy Systems -- 9 Adaptive Self-Learning Fuzzy Autopilot Design for Uncertain Bank-to-Turn Missiles -- 10 Self-Evolving Fuzzy Model-based Controller for Hypersonic Vehicle -- 11 Self-Evolving Data Cloud-based PID-like Controller for Nonlinear Uncertain Systems -- 12 Adaptive Nonparametric Evolving Fuzzy Controller for Nonlinear Uncertain Systems with Dead Zone -- 13 Adaptive Backstepping Neural Controller for Magnetic Bearing System -- 14 Simplified Adaptive Backstepping Neural Controller for Magnetic Bearing System -- 15 Robust Kernel-based Model Reference Adaptive Control for Unstable Aircraft.
    Abstract: The book offers novel research results of sequential intelligent dynamic system modeling and control in a unified framework from theory proposals to real applications. It covers an in-depth study of various learning algorithms for the permanent adaptation of intelligent model parameters as well as of structural parts of the model. The comprehensive researches on sequential fuzzy and neural controller design schemes for some complex real applications are included. This is particularly suited for readers who are interested to learn practical solutions for controlling nonlinear systems that are uncertain and varied at any time. In addition, the organization of the book from addressing fundamental concepts, and presenting novel intelligent models to solving real applications is one of the major features of the book, which makes it a valuable resource for both beginners and researchers wanting to further their understanding and study about realtime online intelligent modeling and control of nonlinear dynamic systems. The book can benefit researchers, engineers, and graduate students in the fields of control engineering, artificial intelligence, computational intelligence, intelligent control, nonlinear system modeling, and control, etc.
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  • 62
    ISBN: 9789819990405
    Language: English
    Pages: 1 Online-Ressource(XVIII, 481 p. 215 illus., 156 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 869
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Robotics.
    Abstract: 1. Comparative study of various machine learning techniques for Parkinson disease detection based on handwriting -- 2. A Systematic Review of Air Pollution and Weather Parameters Detection Methods in Satellite Remote Sensing -- 3. Fingerprint Based Asymmetric Bio-Cryptographic Key Generation Using Convolution Network -- 4. Comparison of Brain Tumor Detection Techniques by Using Different Machine Learning YOLO Algorithms -- 5. Media Steganography Using CNN With Blockchain Enabled Secure File Transfer -- 6. Diagnosing ADHD and Personality Disorders as per DSM-5 using Novel APK, PDPK and DDPK Machine Learning Algorithms -- 7. Inception Time Model for Structural Damage Detection using Vibration Measurements -- 8. Exploring Challenges and Innovations in E-commerce Recommendation Systems: A Comprehensive Review -- 9. Enhanced Ensemble Classifiers for Heart Disease Prediction -- 10. Study of RNN with its CNN based hybridization for temporal remote sensing data processing to map rabi crops.
    Abstract: This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
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  • 63
    ISBN: 9789819987030
    Language: English
    Pages: 1 Online-Ressource(XXXIX, 743 p. 474 illus., 390 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1081
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Control engineering. ; Power electronics. ; Telecommunication.
    Abstract: Model Identification of Gas-Fired Industrial Furnace -- Lyapunov-based Controller for Bilinear Model Applied to Gas-fired Furnace -- Automatic Generation Control based Sliding Mode Observer Design for Multi-Area Multi-Source Power Systems -- The PID Speed Controller implementation Using Online-GA for Permanent Magnet Synchronous Motor Drive -- Research, Design and Control a New Fresh Orange Juice Vending Machine -- Integration of Image-Based Object Identification and Distance Estimation Algorithm for Field Operational Test System of Self-Driving Vehicles -- Robot Gesture Control Using Online Feedback Data with Multi-Tracking Capture System -- Adaptive Sliding Mode Control for Parallel Manipulator Hexapod -- A Study of Optimal Control for Under-actuated Parallel type – Triple Furuta Pendulum -- Passage Detection of a Train via a Reference Point -- User Grouping and Relay Selection for Improving Outage Performance of Downlink Wireless Systems -- Priority-based uplink raw slot utilization in the IEEE 802.11ah networks -- A Perfect Knife - bulk decompilation and preprocessing tool.
    Abstract: This proceedings book features selected papers on 12 themes, including wireless communications, power systems, signal processing, robotics, control systems, sustainable energy, power electronics, intelligent networks and more. Covering topics such as performance of reconfigurable intelligent surfaces for 6G communication networks, improved neural network algorithms for optimizing the power flow of renewable energy sources, anomaly detection using stationary and non-stationary signal analysis in data sciences, novel object identification and distance estimation algorithms for self-driving vehicles, the book presents interesting ideas and state-of-the-art overviews.
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  • 64
    ISBN: 9789819997657
    Language: English
    Pages: 1 Online-Ressource(XIV, 551 p. 121 illus., 96 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Smart Innovation, Systems and Technologies 383
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Tourism. ; Management. ; Big data.
    Abstract: Competencies and Skills for Tourism Education Advancement: A Bibliometric Analysis and Literature Review -- The importance of Food & Beverage Service in the cruise passengers -- Environmental sustainability of social and executive events in Ciudad Juárez, Mexico -- Health and economy: a necessary relationship to face the path towards sustainable development in latin america and the caribbean, post covid -- Covid 19 and the challenge of the health, tourism, and economic sectors, towards the path of sustainable development in Latin America and the Caribbean -- The importance of foreign language mastery in the tourism sector -- Tourism Destination Branding as a Marketing Factor: A Short Literature Review with a Focus on Northern Cyprus -- The reality of Blockchain Technology for the Digital Business world -- The Influence of Business Cycles on Corporate Performance: Evidence from Outdoor tourism -- Marketing trade-offs in periods of low and high munificence: A study of tourism enterprises in Uruguay -- Development of a Mobile App as an adjuvant treatment for thermal context patients -- Validation of a Mobile App as an adjuvant treatment for thermal context patients: a randomized controlled trial protocol -- Dark Heritage Tourism in Portugal: a resource to explore -- Adventure tourism in Santo Domingo Province based in an educational proposal -- Sustainable education and the challenges of the contemporary world -- Space tourism: Progress, obstacles and growth prospects bearing in mind public and private projects -- Understanding the Complexities of Leadership and Intersectionality in Women in Tourism Research: A Conceptual Analysis -- The application of information technologies for agrotourism in the municipality of Guapotá, Santander, Colombia -- Dance as representative body language of various Amazonian cultures -- The role of familiness and cultural heritage in touristic family-owned restaurants of Juarez, Mexico -- The Impact of Information Technologies on the tourist experience: Caseof Tabasco, Mexico -- Archaeological Tourism in Pacto - Pichincha based in a tourist educational proposal -- Best Evacuation Simulation Strategies – Analysis of a River Cruise Ship Case -- Local gastronomy and the role of confraternities in tourism valorization. The confraternity of bucho raiano in the promotion of inland tourism -- Music Events, Sustainability and Accessibility: Case Study on the Coldplay Tour in Brazil -- Sustainability and Technological Advancements in Tourism Events: the case of Electric Love Festival (Salzburg, Austria) -- Landscape and nature tourism activities evaluation through social networks -- Attachment theory and sense of place for visitors to Kaz-begi National Park -- The construction of the brand narrative through the creation of corporate museums -- Structuring a gastronomic route on the local sweets and other cultural heritage: The case of The Route of Arouca’s Sweet Secrets -- Cultural Indicators as a Tool for Assessing Sustainable Development in the Alto DouroWine Region -- Itineraries of memory and historical recreation based on mental maps: A Study in Lamego, Portugal -- Community and tourist’s perceptions as contributions to Rural destination development: the Fontoura collab framework pilot -- Building an Irresistible Shopping Experience: The Power of Personality, Subjective Well-Being and Parasocial Relations on the Online Impulse Buying Tendency -- Social media as a marketing strategy in hospitality: case study of the Braga city -- Exploring Tourism Potential in Muş: Embracing Unique Experiences in an Undeveloped Region -- Egocentric networks design in tourism’s indigenous social enterprises -- Motivations of Youth Tourism: The Case of University Students in the Porto and North Region -- Application of Artificial Intelligence in companies in the tourism sector: the case of chatbots -- Rural and community tourism: An alternative in postdevelopment -- Practitioners' Perception Regarding Bio Certified Food in Public Food Units in Brasov -- The influence of the Covid-19 crisis on financial statements manipulations in the Portuguese wine and tourism sector -- Artificial intelligence in education in Cape Verde: potential and challenges -- The climate in different tourist locations affecting chil- dren with bronchial asthma -- Robotics evolves the industry tourism: advantages and challenges -- Young people with asthma on vacation at Aqua Park - Esmeraldas -- The impact of health and wellness tourism on tourists' physical, mental, and emotional balance.
    Abstract: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2023), held at Anáhuac University, Bacalar, Mexico, from 2 to 4 November 2023. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.
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  • 65
    ISBN: 9789819997589
    Language: English
    Pages: 1 Online-Ressource(XIV, 546 p. 59 illus., 46 illus. in color.)
    Edition: 1st ed. 2024
    Series Statement: Smart Innovation, Systems and Technologies 384
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Tourism. ; Management. ; Big data.
    Abstract: Strategic management of cultural projects - CIM Douro training -- Effects of Internet Access on Tourist Consumption in Mexican Households -- Enhancing Tourist Experiences: Integrating ChatGPT and 360 VR Videos in Tourism and Tourist Psychology -- Residents' perceptions of sustainable tourism development in an emerging destination: a factor-cluster approach -- Data Science in Supporting Hotel Management: application of predictive models to Booking.com guest evaluations -- Organizational Commitment: The role of Organizational Happiness and Quiet Quitting -- Proposal for a Technological Thematic Concept for the Trays Festival Museum -- The Impact of Corporate Governance on Financial Performance: Study for Portuguese Hotel Companies -- The influence of the senior tourist profile on the assessment of the dimensions of well-being and quality of life -- Experiences of Backpackers: an overview of publications -- Importance–Performance Analysis of Oleotourism experience -- Present and Future Digital Media Experiences to Support Travellers’ Decision Process During Online Accommodation Booking: A Systematic Literature Review and Bibliometric Analysis -- Motivating Factors in Choosing a Wine Tourism Destination and Its Impact on Territorial Marketing Policies -- Financial impact of covid-19: perspective from the hospitality and restaurant industry -- The Dynamics of Participant Engagement in a Food Festival: The Soup Congress case in Tomar -- Proposal for the creation of a MOOC on military tourism -- Cross-border tourism: a residents’ perspective of the Iberian Meseta Reserve -- The impact of work-life conflict on employees' emotional well-being and the adoption of quiet quitting – A study case applied to the Portuguese hospitality industry -- Reviving the Templar Tale: Proposal for the creation of an immersive experience through the Templar Heritage of Tomar -- Business Intelligence Tools to Improve Business Strategy -- Technology towards Luxury Brands: preliminary insights on fashion tourism, metaverse and non-fungible token (NFT) -- Applying the Importance-Performance Matrix to the Podence Carnival Festival -- Nutrition Software to the Management and Support of Health and Wellness Tourism: An Approach -- Backpackers’ space-time behaviour in a world heritage City – Porto -- Environmental corporate social responsibility (ECSR) in a price-set competition between private and state-owned hotels -- Tourist Technology Satisfaction: Scale Development and Validation -- Dialogic communication and dialogic loop principle in official websites of tourism – hospitality -- A Fuzzy ELECTRE method to model the risk in credit products for financing tourism experiences -- How wine information seeking and event participation impact knowledge and determines the purchasing behaviour? -- The Role of Sociodemographic Characteristics on the Journey from Brand Experience to Brand Love and Loyalty – Porto. -- Perception of Risk and Identification of Security Measures when visiting Cultural Heritage -- Visiting Porto through the eyes of Eugénio de Andrade -- The Perception of Tourists Regarding the Importance of Influencers in Shaping the Image of a Tourist Destination: The Case of Melgaço (Portugal) -- Social Media and the growth of E-Commerce – Multiple case studies: MusaMakeup and CRU Ecoliving -- Improving accessibility as a strategy for social sustainability in tourism supply -- Fashion as an economic sustainability indicator in tourism destinations’ governance through business participation -- Technology applications in the competitiveness of tourism destinations -- Events Tourism and Hospitality Marketing -- Entrepreneurship and COVID 19: The entrepreneurial challenge in a global pandemic -- Educational Practice: The Domain of Curricular Autonomy (DCA) at Fontes Pereira de Melo School. -- Societies, ICT and Higher Education in the 21st Century: Reflections and Proposals -- The Importance of Digital Marketing in Hospitality: The Case of Hotel Fafense.
    Abstract: This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2023), held at Anáhuac University, Bacalar, Mexico, from 2 to 4 November 2023. The book is divided into two volumes, and it covers the areas of technology in tourism and the tourist experience, generations and technology in tourism, digital marketing applied to tourism and travel, mobile technologies applied to sustainable tourism, information technologies in tourism, digital transformation of tourism business, e-tourism and tourism 2.0, big data and management for travel and tourism, geotagging and tourist mobility, smart destinations, robotics in tourism, and information systems and technologies.
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  • 66
    ISBN: 9789819986286
    Language: English
    Pages: 1 Online-Ressource(XXXII, 629 p. 289 illus., 225 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 864
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Signal processing. ; Cloud Computing. ; Internet of things.
    Abstract: Automobile Parts Classification using Deep Learning based Ensemble Model -- Admission Prediction for Higher Studies in Foreign Universities -- Factors Influencing Employee Satisfaction in Workplace: A Study conducted in the Sonali Life Insurance Company Limited -- Detection of Abductors using Machine Learning Algorithms -- Vehicle Registration using Blockchain and JSON web token for Authentication on Restful Web Service from India Perspective -- Smart Grading System for Evaluating typed Text Answers Using Ensemble Machine-Learning techniques -- Ethereum Blockchain Based KYC Verification -- Crime Rate Prediction Using Machine Learning Techniques -- Comparative Study of various Machine Learning Algorithms for American Sign Language Recognition -- Species Identification of Birds Via Acoustic Processing Signals Using Recurrent Network Analysis (RNN) -- Performance Evaluation of ML algorithms for Diabetes Prediction -- Office Management Chatbot using Artificial Intelligence -- Artificial intelligence based coronary heart disease Prediction in real time scenarios -- Milk Adulteration Monitoring and Detection Using IoT -- Multi Layered Object Identification and Detection using Deep CNN Detector -- ANN-Based Resource Scheduling Mechanism in Hybrid Cloud Computing Environment -- Comparison And Performance Evaluation of Fusion Mechanismfor Audio-Video Based Multimodal Emotion Recognition -- E-Commerce Customer Segmentation By Unsupervised Learning -- Analyzing Sentiment of Stock Market Data from twitter using Machine Learning and Deep Learning Techniques -- Transformer-based Chest X-ray Report Generation Model -- Chat Bot for Banking Sector Using NLP and ML -- Deep Learning-based proposed approach for low-dose CT scan based early detection of lung cancer -- Spam Detection using Deep Learning Approaches for Social Media Data -- Review on Design Generation, Defect Detection and Identification of Handloom Cloths using Deep Learning.
    Abstract: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Sixth International Conference on Soft Computing and Signal Processing (ICSCSP 2023). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.
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  • 67
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819724741
    Language: English
    Pages: 1 Online-Ressource(XXI, 97 p. 8 illus., 6 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Data mining. ; Natural language processing (Computer science). ; Machine learning.
    Abstract: Chapter 1: Sentiment Analysis in Natural Language Processing -- Chapter 2: An Overview of Educational Data Mining -- Chapter 3: Impact of Sentiment Analysis in Education Sector -- Chapter 4: Techniques and Approaches in Sentiment Analysis -- Chapter 5: Machine Learning with Sentiment Analysis -- Chapter 6: Incorporation of Sentiment Analysis with Educational Data Mining -- Chapter 7: Preformation Evaluation using Sentiment Analysis.
    Abstract: The book delves into the fundamental concepts of sentiment analysis, its techniques, and its practical applications in the context of educational data. The book begins by introducing the concept of sentiment analysis and its relevance in educational settings. It provides a thorough overview of the various techniques used for sentiment analysis, including natural language processing, machine learning, and deep learning algorithms. The subsequent chapters explore applications of sentiment analysis in educational data mining across multiple domains. The book illustrates how sentiment analysis can be employed to analyze student feedback and sentiment patterns, enabling educators to gain valuable insights into student engagement, motivation, and satisfaction. It also examines how sentiment analysis can be used to identify and address students' emotional states, such as stress, boredom, or confusion, leading to more personalized and effective interventions. Furthermore, the book explores the integration of sentiment analysis with other educational data mining techniques, such as clustering, classification, and predictive modeling. It showcases real-world case studies and examples that demonstrate how sentiment analysis can be combined with these approaches to improve educational decision-making, curriculum design, and adaptive learning systems.
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  • 68
    ISBN: 9789819702930
    Language: English
    Pages: 1 Online-Ressource(XX, 579 p. 189 illus., 166 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 191
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data. ; Internet of things. ; Computer vision.
    Abstract: The book presents selected papers from International Conference on Data Science and Emerging Technologies (DaSET 2023), held online at UNITAR International University, Malaysia during December 4–5, 2023. This book presents current research and applications of data science and emerging technologies. The topics covered are artificial intelligence, big data technology, machine and deep learning, data mining, optimization algorithms, blockchain, Internet of Things (IoT), cloud computing, computer vision, cybersecurity, augmented and virtual reality, cryptography, and statistical learning.
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  • 69
    ISBN: 9789819990054
    Language: English
    Pages: 1 Online-Ressource(XIV, 595 p. 254 illus., 211 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1123
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Signal processing. ; Power electronics. ; Artificial intelligence. ; Computational intelligence.
    Abstract: 1. Finite Element Modeling of Electric Field Distribution in a Defected XLPE Cable Insulation Under Different Magnitudes of Stressing Voltage -- 2. Optimal switching sequence of urban power system based on dynamic thermal rating parameter adjustment -- 3. Improved DC-Link Voltage Control Scheme for Standalone PV Renewable Energy System -- 4. Wind energy distributions for integration with dynamic line rating in grid network reliability assessment -- 5. Control Method of Two-stage Grid-connected PV Inverter System -- 6. Methodological Comparison and Analysis for Six-Switching PMBLDC Motor Control -- 7. Energy efficiency performance optimization and surge prediction of centrifugal gas compressor.
    Abstract: This book presents selected papers from the Proceedings of the International Conference 12th International Conference on Robotics, Vision, Signal Processing, and Power Applications ROVISP 2023, held in Penang, Malaysia, covering topic areas divided into the following tracks: (1) Robotics, Control, Mechatronics, and Automation; (2) Vision, Image and Signal Processing; (3) Telecommunication Systems and Applications; (4) Electronic Design and Applications; (5) Electrical Power, Energy, and Industrial Applications. Its content highlights state-of-the-art technologies adopted by the relevant industries which appeal to researchers and industrial practitioners working in the field.
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  • 70
    ISBN: 9789819720538
    Language: English
    Pages: 1 Online-Ressource(XVIII, 460 p. 176 illus., 142 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 967
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Image processing ; Computer vision. ; Machine learning.
    Abstract: A Comparative Study of DL and ML Models for Brain Tumor Detection -- Dynamic and Personalized Video Summarization based on User Preferences -- A Comparative Study and Adaptability of Mobility Models for UAV Networks -- Implementation and Evaluation of IPSec in an NFV-Based Network -- A Multi-Label Classification Approach to Detect Types of Traumas on Social Media -- Revolutionizing Efficiency: A Novel Strategy for Quantum Noise Mitigation -- Critiquing The Limitations Challenges in Detecting GAN-Generated Images with Computer Vision Techniques -- Enhancing SIoT Security Through Advanced Machine Learning Techniques for Intrusion Detection -- EDiTOK: Energy –efficient Distributed transmission optimization based Kalman-Zlib approaches for Monitoring Smart Farming Irrigation in Internet of Things Networks -- Implementation of Custom-Based Mobile-Network Model for Early Blight Detection in Tomatoes -- Advanced Deepfake Detection using Inception-ResNet-V2 Multi Feature Fusion for Facial Expression Recognition -- Different Machine Learning Algorithms for Parkinson's Disease Detection Using Speech Signals -- Convolutional Neural Network Applied to X-Ray Medical Imagery for Pneumonia Identification -- Smart Agriculture: Machine Learning Approach for Tea Leaf Disease Detection.
    Abstract: This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16–17, 2023. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.
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  • 71
    ISBN: 9789819720798
    Language: English
    Pages: 1 Online-Ressource(XVIII, 456 p. 149 illus., 122 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 968
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Image processing ; Computer vision. ; Machine learning.
    Abstract: Multilingual Speech Recognition: An In-depth Review of Applications, Challenges, and Future Directions -- Performance Evaluation of Job Shop Scheduling Problem using Proposed Hybrid of Black Hole and Firefly Algorithms -- Machine Learning and Healthcare: A Comprehensive Study -- Evolutionary Algorithms for Fibers Upgrade Sequence Problem on MB-EONs -- Exploring the Potential of Deep Learning Algorithms in Medical Image Processing: A Comprehensive Analysis -- Comparative Analysis of Image Enhancement Techniques: A Study on Combined and Individual Approaches -- Smishing: A SMS Phishing Detection Using Various Machine Learning Algorithms -- Convolution Neural Network (CNN) based Live Pig Weight estimation in Controlled Imaging Platform -- A Novel Image Encryption Technique based on DNA Theory and Chaotic Maps -- An Empirical Study on Comparison of Machine Learning Algorithms for Eye-State Classification using EEG data -- Decoding the UK's Stance on AI: A Deep Dive into Sentiment and Topics in Regulations -- Latest Trends on Satellite Image Segmentation -- Landmark detection using Convolutional Neural Network: A Review -- An Efficient Illumination Invariant Tiger Detection Framework for Wildlife Surveillance -- An Innovative Frequency -- Limited Interval Gramians-Based Model Order Reduction Method using Singular Value Decomposition.
    Abstract: This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16–17, 2023. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.
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  • 72
    ISBN: 9789819719839
    Language: English
    Pages: 1 Online-Ressource(XI, 622 p. 188 illus., 139 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 198
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Pattern recognition systems. ; Neural networks (Computer science).
    Abstract: Design of Internet of Things Online Course Platform for Electronic Application Engineering -- Evaluation of Efficient, Energy-saving, and Environmentally Friendly Transcritical CO2 Heat Pump -- Technology Based on Deep Learning Algorithms -- Application of BP Neural Network and Artificial Intelligence Algorithm in Pharmaceutical Production -- Dynamic Panorama Virtual System Display Platform for Digital Museum Exhibition -- Adaptive Scaling Algorithm of Sports Video Image Based on Collaborative Filtering -- Construction of Financial Information Management System under Computer Network Environment -- Research on the Prediction Mechanism of Fuel Quantity of Gas Turbine Power Plant Based on Stochastic Forest Algorithm -- Extraction Algorithm of Film and Television Special Effects Based on Artificial Intelligence Technology -- Design of Urban Emergency Material Allocation Supply Chain System Based on Multimodal Information Technology -- Research on Intelligent Control of Tube Bender -- Cigarette Factory Design System Based on System Integration under BIM and Industrial Monitoring -- Urban Landscape Design Optimization System Based on Improved Particle Swarm Optimization Algorithm -- Construction of Urban Landscape Planning and Design System Based on DEM Morphological Evaluation Algorithm -- Automatic Scoring Algorithm for Sort Selection Structure in C Language Programming -- Visual Analysis of Social Practice Research of College Students Based on CiteSpace -- Design and Chemical Platform System Based on Association Rule Algorithm.
    Abstract: This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–3, 2023. The papers represent the various technological advancements in theory, technology and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing. The book represents Volume 3 for this conference proceedings, which consists of a 3-volume book series. .
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  • 73
    ISBN: 9783031598111
    Language: English
    Pages: 1 Online-Ressource(XII, 119 p. 64 illus., 63 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 255
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Artificial intelligence.
    Abstract: Deep Convolutional Neural networks -- Introduction to Logo Detection -- Weakly Supervised Logo Detection Approach.
    Abstract: This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and domain adaptation for logo detection, and describes recent advancement in object detection frameworks using deep learning. We offer solutions to the major problems such as the lack of training data and the domain-shift issues. This book provides numerous ways that deep learners can use for logo recognition, including: Deep learning-based end-to-end trainable architecture for logo detection Weakly supervised logo recognition approach using attention mechanisms Anchor-free logo detection framework combining attention mechanisms to precisely locate logos in the real-world images Unsupervised logo detection that takes into account domain-shift issues from synthetic to real-world images Approach for logo detection modelingdomain adaption task in the context of weakly supervised learning to overcome the lack of object-level annotation problem. The merit of our logo recognition technique is demonstrated using experiments, performance evaluation, and feature distribution analysis utilizing different deep learning frameworks. The book is directed to professors, researchers, practitioners in the field of engineering, computer science, and related fields as well as anyone interested in using deep learning techniques and applications in logo and various object detection tasks. .
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  • 74
    ISBN: 9789819709755
    Language: English
    Pages: 1 Online-Ressource(XI, 579 p. 232 illus., 196 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 922
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence ; Data protection. ; Computer networks
    Abstract: This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2023), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, from 02–04 November, 2023. The proceeding targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.
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  • 75
    ISBN: 9789819720668
    Language: English
    Pages: 1 Online-Ressource(XXXVII, 212 p. 62 illus., 48 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 964
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer networks ; Cloud Computing. ; Blockchains (Databases). ; Data protection.
    Abstract: Modified Lattice Paths And Gordon-Mcintosh Eighth Order Mock Theta Functions -- Classication based credit risk analysis: The case of Lending Club -- Equivariant LS-category and topological complexity of product of several manifolds -- On the solution set of semi-infinite tensor complementarity problem -- Local convergence analysis of a family of third order iterative methods using majorant function in Riemannian Manifold -- Real dynamics of a sixth-order family of derivative free iterative method without memory -- Lieb Functions and PPT Matrices -- Algorithm for Reconstruction Number of Split Graphs -- Secure and Privacy-Compliant Data Sharing: An Essential Framework for Healthcare Organizations -- Analysis of oblique wave scattering by a thick bottom-standing barrier placed in between a pair of thin partially immersed barriers -- Method of fundamental solutions for doubly peridic potential problems -- A Transformer-based Stock Market Price Prediction by incorporating BERT Embedding -- Computationof Captive, Half Certified and Majority Domination Numbers of a Family of 3-regular Graphs -- λ−Statistical Derivative -- Analysis of Multilanguage Regional Music Tracks using Representation Learning Techniques in Lower Dimensions -- Design of Microstrip Rectangular Dual Band Antenna for MIMO 5G Applications -- Overlapping Iterative Numerical Method for Solving System of Singularly Perturbed Convection Diffusion Problems with Mixed Type Boundary Conditions -- Stabilizer group of set ideals -- Geometric Algorithm for Generalized Inverse of Rank Deficient Real Matrices -- On Some Sequence Spaces in Fuzzy.
    Abstract: This book features selected papers from the 10th International Conference on Mathematics and Computing (ICMC 2024), held at Kalasalingam Academy of Research and Education (KARE), Krishnankoil, India during 2 – 7 January 2024. It covers recent advances in the field of mathematics, statistics, and scientific computing. The book presents innovative work by leading academics, researchers, and experts from industry in mathematics, statistics, cryptography, network security, cyber security, machine learning, data analytics and blockchain technology in computer science and information technology. The book is divided into two volumes.
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  • 76
    ISBN: 9789819720699
    Language: English
    Pages: 1 Online-Ressource(XXXVIII, 246 p. 92 illus., 72 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 963
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer networks ; Cloud Computing. ; Blockchains (Databases). ; Data protection.
    Abstract: Leveraging Meta-Learning for Dynamic Anomaly Detection in Zero Trust Clouds -- Prediction of Mental Health Issues and Challenges Using Hybrid Machine and Deep Learning Techniques -- Deep Learning Based Differential Distinguishers for NIST Standard Authenticated Encryption and Permutations -- ChiBa - A Chirrup and Bark detection Solving of Assignment Problem by Pythagorean Octagonal Neutrosophic Fuzzy Number system for Urban Environment -- FFT based image registration using Stationary Wavelet Transform and edge features -- Analysis of Blood Transfusion Dataset using Data Mining Techniques -- ResNet-CPDS: Colonoscopy Polyp Detection and Segmentation Using Modified ResNet101V2 -- Properties of m-bonacci words -- Robust Numerical technique for a class of singularly perturbed nonlinear system of n-dierential equations with Robin boundary conditions -- Key Dependent Dynamic Sbox for KASUMI Block Cipher -- Fuzzy MCDM techniques for analysing the risk factors of COVID-19 and FLU -- Concentric Ellipse Fitting Problem: Theory and Numerical Implementations -- Elective Data Transmission in NDN-Assisted Edge-Cloud Computing Model -- Pricing and retailer service strategy in a closed-loop supply chain as a response to showrooming effect -- Water Body Segmentation for Satellite Images Using U-Net++ -- A computational study of time dependent nonlinear Schrödinger equation with cubic nonlinearity -- Modeling Vegetation Dynamics: Insights from Distributed Lag Model and Spatial Interpolation of Satellite Derived Environmental Data -- Supporting Smart Meter Context Management using OWL Ontology and Hyperledger Fabric Blockchain -- Guarding the Beats by Defending Resource Depletion Attacks on Implantable Cardioverter Defibrillators.
    Abstract: This book features selected papers from the 10th International Conference on Mathematics and Computing (ICMC 2024), held at Kalasalingam Academy of Research and Education (KARE), Krishnankoil, India during 2 – 7 January 2024. It covers recent advances in the field of mathematics, statistics, and scientific computing. The book presents innovative work by leading academics, researchers, and experts from industry in mathematics, statistics, cryptography, network security, cyber security, machine learning, data analytics and blockchain technology in computer science and information technology. The book is divided into two volumes.
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  • 77
    ISBN: 9789819981298
    Language: English
    Pages: 1 Online-Ressource(XVII, 353 p. 155 illus., 136 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 832
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Natural language processing (Computer science). ; Image processing ; Computer vision. ; Machine learning.
    Abstract: 1. A Simple Algorithm to Secure Data Dissemination in Wireless Sensor Network -- 2. Analysis of Pollard Rho attacks over ECDLP -- 3. Modelling Networks with Attached Storage using Perfect Italian Domination -- 4. Application of Varieties of Learning Rules in Intuitionistic Fuzzy Artificial Neural Network -- 5. Automated tool for toxic comments on YouTube -- 7. Directional Edge Coding for Facial Expression Recognition System -- 6. A Cascaded 2DOF-PID control technique for drug scheduling of chemotherapy system.
    Abstract: The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2023 Summit), held at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Panjab, India during 1 – 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.
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  • 78
    ISBN: 9783031530326
    Language: English
    Pages: 1 Online-Ressource(XXI, 225 p. 99 illus., 58 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
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    Keywords: History. ; Archaeology. ; Digital humanities. ; Social sciences
    Abstract: Part 1. Introduction -- Chapter 1. Editors: 3D-Archaeology and Cultural Heritage: Where are we today? -- Chapter 2. Technological developments -- Chapter 3. 1 Tobias Schreck, Stephan Karl, Elisabeth Trinkl (Graz): Exploring the virtual. Crossmodal search and visual exploration of 3D Cultural Heritage -- Chapter 4. Thomas Reuter (Dresden): Standardization, Data-Management and Scientific Usage of 3D-Data. 15 Years of 3D-Archaeology in the Archaeological Heritage Office of Saxony -- Part 2. Case Studies in Cultural Heritage and Archaeology -- Chapter 5. François Fouriaux (École Française de Rome): Defrag memories: 3D spatial analysis of remains of commemorative gestures in the necropolis of Porta Nocera at Pompeii -- Chapter 6. Vasiliy Kovalev (Novosibirsk): A 3D-approach to Siberian Rock Art Documentation.-Part 3. Current Challenges -- Chapter 7. Marco Hostettler, Anja Buhlke, Clara Drummer, Lea Emmenegger, Johannes Reich, Corinne Stäheli(Bern, Kiel, Berlin): The current application of image-based 3D technologies in archaeology. Results of an online survey -- Chapter 8. Kate Fernie (CARARE/Europeana): 3D content in EUROPEANA: The challenges of providing access -- Chapter 9. Jill Hilditch (Amsterdam): Balancing storage and user functionality: The 3D and archaeological data strategy of the tracing the potter’s wheel project -- Part 4. Data Management -- Chapter 10. Jugoslav Pendic (Novi Sad): Data management and handling of 3D-objects in the post-collection phase -- Chapter 11. Christoph Rummel and Clemens Brünenberg: Bathing in the Pompeian Light - Integrating SFM technology in excavation and standing remains assessment -- Part 5. Conclusion -- Chapter 12. Editors: Conclusion: Where is 3D-Archaeology going?.
    Abstract: This Open access book aims to provide an overview of state-of-the-art approaches to 3D documentation from a practical perspective and formulate the most important areas for future developments. Bringing together a wide range of case studies, examples of best practice approaches, workflows, and first attempts to establish sustainable solutions to pressing problems, this book offers readers current practical advice on how to approach 3D archaeology and cultural heritage. Divided into five parts, this book begins with an overview of 3D archaeology in its present state. It goes on to give insights into the development of the technology and recent cutting-edge applications. The next section identifies current challenges in 3D archaeology and then presents approaches and solutions for data management of a large number of 3D objects and ways to ensure sustainable solutions for the archiving of the produced data. This book will be of interest to researchers working in the fields of archaeology, heritage management, and digital humanities in general.
    Note: Open Access
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  • 79
    ISBN: 9789819989768
    Language: English
    Pages: 1 Online-Ressource(XII, 518 p. 271 illus., 218 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Quantitative research. ; Data protection.
    Abstract: Deep Convolutional Neural Networks for Brain Tumor Image Segmentation -- A Comparison and Evaluation of Handwritten Digit Recognition (HDR) Algorithms -- An Analysis of Machine Learning Algorithms for AQI Prediction -- Application of The Harmonic Runge-Kutta with Forward-Backward Technique by Parallelism -- A preconditioned conjugate gradient multigrid method for multi-material topology optimization -- Generated Graph for Text Encryption Algorithm Based on BRHC Curve -- Issues and Challenges of Digital Banking System -- Impact of COVID-19 Pandemic on Assessment Process of Technical Education System-Analysis and Critical Review -- Ensuring Energy Efficiency using AI and Nudge Theory to Reach Sustainable Development Goals: A Research Framework -- Configuration and Evaluation of Models for Ecological Systems the case of distribution of Koala -- Design and Experiments of a Manta-Ray Robot for STEM Education -- Price forecast for Imbalanced Label Data by Meta Heuristic model -- Unmanned Aerial Vehicles(UAVs): Performance Analysis of Routing Protocols for Optimized Operations -- Processing the missing value based on the linear regression approach -- Comparative Analysis for Test Case Prioritization using Particle Swarm Optimization Firefly Algorithm -- Improving object detection versatility with 6G in VANETS -- Analysis of Human Behavior on Movie Review -- Artificial Intelligence (ΑΙ) in Education-Current Trends -- The Study of Randomness Properties Exhibited by LAO-3D Lightweight Block Cipher Algorithm -- Association Rule Mining Based Food Preferences Analysis Using FP-Growth Method -- Studies on potential conflicts of network densification in 6G -- Machine Learning Framework for Detecting Fake News over Social Media Platforms -- Analysis and Detection of Political Fake News Using Deep Learning With High-Performance Hybrid-Model -- Wasserstein barycenters over Heisenberg group -- BlockChain Technology with High Performance Via Parallel Processing -- Customer Churn Prediction Model using Deep Learning -- Artificial Intelligence Use in Maritime And Ports Industry as Smart Multimodal Hubs - Emerging Trends -- On-line wear measurement for micro turning round tip tool based on machine vision -- Logistic Regression based Legal Prediction Model -- A Comprehensive Approach for Predicting Different Types of Retinal Detachment with ML algorithms -- Diabetic Retinopathy Automatic Detection and Classification in fundus Images using Modified Residual Convolutional neural networks (CNN) with improved accuracy -- Properties of Idealization Graph over a Ring -- Research Arima Model Forecasts Student's Graduation Rate -- A Home LPM System Based on WSN -- Privacy Preservation Using Network Coding Against Traffic Analysis in Wireless Network -- Optimized Back Propagation based Deep residual Learning Network Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus images -- Use Data Augmentation Model in Image Segmentation -- A prototype for Lung Cancer Forecasting Using Convolution Neural Network Method -- Utilizing Blockchain Technology for Farmer Identity Management and Land Registry Systems in Agriculture -- IoT and Big Data Analytics for Smart Healthcare 4.0 Applications -- 5G Networks with Mm Wave Communications For Enhanced Communication Range. -- Dynamic Load Balancing Schemes for Software Defined Networking (SDN) -- Symmetric Encryption Scheme Based on Fuzzy Graph -- MED-H: Smart Healthcare System Based on IoT and Rule Set -- Landscape View of Hyperparameter Optimization Cybersecurity by Using Bio-inspired Algorithm -- A Multi-hop routing with energy efficient using agglometrive hierarchical clustering using wireless sensor networks in SIOT -- A Study in Understanding the Role of Key Measures in Applying Machine Learning Models for Effective Risk Management in Banking Industry With Focus on Private Banks In India. -- A Converter Tool to Transform the Android Mobile Application into Java Codes for Software Testing -- Genetic Algorithm based Neural Network for Vegetable Price Forecasting on E-Commerce Platform: A Case Study in Malaysia -- A System for Biomedical Image Processing of Brain Tumor via Segmentation and Pattern Recognition.
    Abstract: This book gathers selected high-quality research papers presented at the Second International Conference on Intelligent System (ICIS 2023), organized by Industrial University of Ho Chi Minh City, Vietnam during September 29–30, 2023. It discusses high-quality and cutting-edge research in the areas of informatics, intelligent systems, and smart technologies and applications. The book is a collection of the latest research articles in intelligent control, artificial intelligence, neural networks, knowledge discovery, decision support systems, soft computing, data mining, and ontologies, machine learning, intelligent measurement, and other related fields.
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  • 80
    ISBN: 9789819978861
    Language: English
    Pages: 1 Online-Ressource(XXII, 609 p. 191 illus., 157 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 817
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: 1. Robust Ownership Management for Secure Deduplication in Cloud -- 2. Cervical Cancer Prediction Using Machine Learning Techniques -- 3. Digital Transformation of University Course Filing using Information and Communication Technologies (ICT): A Sustainable Approach -- 4. Optimizing Neural Network Performance for Time Series Analysis: Techniques for Improving Output Accuracy -- 5. The Business-oriented Extension of the Sustainability Awareness Framework – a Design Science Study -- 6. An IoT-based Smart Waste Management System: Senegal SET -- 7. Social Media And Healthcare: Effectiveness Of Education About Covid-19 Vaccination To Improve Knowledge And Attitudes In Students -- 8. Job scheduling for Big Data processing in YARN to enhancing performance -- 9. Quantum machine learning in intrusion detection systems: A systematic mapping study -- 10. A comparative documentary analysis of the Brazilian Digital Transformation Strategies adopted in the Enabling Thematic Axes of 2018 and 2022.
    Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.
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  • 81
    ISBN: 9789819710874
    Language: English
    Pages: 1 Online-Ressource(IX, 585 p. 319 illus., 262 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1173
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. Collision-Free UAV Flocking System with Leader-guided Cucker-Smale Reward Based on Reinforcement Learning -- Chapter 2. A Task Allocation Algorithm of Loitering Munition Group for Regional Blockade based on Event-driven -- Chapter 3. Research on the Dilemma and Strategy of Training Applied Talents in UAV Specialty -- Chapter 4. Design and Implementation of Terrain following Algorithm for Cruise Missile -- Chapter 5. Task Assignment Algorithm for Unmanned Systems Based on Step Clustering Ant Colony -- Chapter 6. A Neural Network-Based Adaptive Dynamic Surface Control for Nonlinear Systems in Strict-Feedback Form with Input Constraints -- Chapter 7. TAMPI: A Time-Aware Multi-Perspective Interaction Framework for Temporal Knowledge Graph Completion -- Chapter 8. Lightweight Multimodal Fusion for Autonomous Navigation via Deep Reinforcement Learning -- Chapter 9. A Scalable Multi-Agent Reinforcement Learning Approach Based on Value function Decomposition -- Chapter 10. A GeneralizableAutonomous Maneuvering Decision-Making Method for UCAV Air Combat Combining PER-D3QN and Zero-Sum Markov Game, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
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  • 82
    ISBN: 9789819711079
    Language: English
    Pages: 1 Online-Ressource(X, 668 p. 453 illus., 356 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1170
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. Active Disturbance Rejection Control of Carrier-based Aircraft with High Angle of Attack Research Based on Trajectory Optimization -- Chapter 2. Simulation and Performance Test of Large Thrust Ducted Fan -- Chapter 3. A Data-driven Linear Model for Flexible Vehicles Based on Koopman Operator -- Chapter 4. UAV Path Planning Method for Key Target Reconnaissance Mission -- Chapter 5. Study on the Stability of Spring Valve Considering the Inlet Pipeline -- Chapter 6. UAV formation control based on multi-strategy search improved pigeon-inspired optimization -- Chapter 7. Airworthiness Technology: The Key for the Development and Application of Civilian Unmanned Aircraft Systems -- Chapter 8. A Frequency Domain System Identification Toolbox for Aircraft and Rotorcraft -- Chapter 9. Measurement information consensus based distributed estimation of unknown source by using mobile sensor networks -- Chapter 10. Path planning and composite attitude control for a satellite with 2-DOF large-inertia turntable -- Chapter 11. An improved Cubature Kalman Filter-based optoelectronic tracking method -- Chapter 12. Autonomous Landing of a Low-Cost Quadrotor on a Moving Target -- Chapter 13. Reentry trajectory planning based on proximal policy optimization -- Chapter 15. Investigation and Applications of Multi-species Numerical Method Based on NNW-FlowStar, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
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  • 83
    ISBN: 9789819710911
    Language: English
    Pages: 1 Online-Ressource(IX, 517 p. 282 illus., 232 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1174
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. Cooperative Transmit Resource Scheduling Algorithm for Asynchronous Tracking in Heterogeneous Multiple Distributed Radar Networks with Imperfect Detection -- Chapter 2. Joint Detection Threshold and Dwell Time Optimization for Target Tracking in Radar Networks -- Chapter 3. An Accurate and Robust Effectiveness Evaluation Method for an Unmanned Swarm in Performing a Specific Task -- Chapter 4. Multi-UAV collaborative search strategy based on improved genetic algorithm -- Chapter 5. Joint Beamforming and Power Allocation in a MIMO Radar Network with Per-Antenna Power Control -- Chapter 6. Intelligent Trajectory Planning Algorithm for Unmanned Aerial Vehicles Based on Track Deception against Radar Networks -- Chapter 7. Maneuvering Multi-Target Tracking based on DLSTM and Dynamic Association Gate -- Chapter 8. A DNN-Based GLMB Algorithm for Multi-Sensor Multi-Target Tracking with Dense Group Clutter -- Chapter 9. Efficient Multiple Extended Target Tracking Based on MinimumSpanning Tree -- Chapter 10. Improved Adaptive Sliding Mode Cooperative Guidance Law with Multi-constraints, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
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  • 84
    ISBN: 9789819711031
    Language: English
    Pages: 1 Online-Ressource(VIII, 493 p. 291 illus., 221 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1177
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Computational intelligence. ; Telecommunication. ; Artificial intelligence.
    Abstract: Chapter 1. A personalized ramp merging decision-making method for autonomous driving based on reverse reinforcement learning -- Chapter 2. An adaptive cruise hybrid control method for unmanned driving -- Chapter 3. Dynamic Quantitative Analysis for Large Scale Skid-steered UGV -- Chapter 4. An Optimization-based Path Planning Method for Unmanned Systems in Multi-obstacle Environments -- Chapter 5. An adaptability-based terrain costmap for heterogeneous vehicle swarm path planning -- Chapter 6. Attention encoder-decoder network based autonomous risk driving identification for connected heavy-duty vehicles -- Chapter 7. Loosely-coupled Camera-IMU-OGS fusion Localization -- Chapter 8. Multi-sensing pedestrian detection method based on an improved EPNet -- Chapter 9. Abrupt Lane Change Recognition Model Towards Autonomous Vehicle based on Lane Line Inclination -- Chapter 10. Path-oriented Green Wave Speed Control Model Towards Autonomous Vehicle, etc.
    Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
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  • 85
    ISBN: 9789819719877
    Language: English
    Pages: 1 Online-Ressource(XIV, 220 p. 69 illus., 25 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1148
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Natural language processing (Computer science).
    Abstract: This book emphasises the need for language resource development and its impact on society. It covers latest AI based tools and techniques used to preserve indigenous and endangered languages. The book also highlights latest AI based technologies such as Generative Pre-trained Transformer (GPT) towards endangered language preservation. It discusses morphology analysis, translation support and shallow parsing of various tribal languages of India and abroad. This book tries to answer how digital technologies can make language revitalization accessible to future generations.
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  • 86
    ISBN: 9789819713264
    Language: English
    Pages: 1 Online-Ressource(XX, 519 p. 180 illus., 128 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 947
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication. ; Signal processing.
    Abstract: Chapter 1: A Comprehensive Analysis of Machine Learning Models for IDS -- Chapter 2: An Overview of Artificial Intelligence Applications in Cyber Security Domains -- Chapter 3: Enhancing Security in Wireless Communications through Blockchain and Smart Contracts: A Comprehensive Study -- Chapter 4: Racist And Abusive Memes Classification Using Deep Learning Techniques -- Chapter 5: Comparative study of learning effectiveness across NEPs on network fault correlation -- Chapter 6: Securing Networks: A Machine Learning Approach to Intrusion Detection Systems -- Chapter 7: NL2Code: Harnessing Transformers for Automatic Code Generation from Natural Language Descriptions -- Chapter 8: A Comprehensive Survey and Future Standpoints on Big Data Analytics of Mobile Data -- Chapter 9: An approach to detect violations of Social Distancing norms in the public domain -- Chapter 10: AI Art Authenticator: Deep Learning Image Classification. etc.
    Abstract: This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
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  • 87
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819726448
    Language: English
    Pages: 1 Online-Ressource(XII, 314 p. 88 illus., 75 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 151
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Cloud Computing. ; Internet of things.
    Abstract: Resource Management in Distributed Computing -- Cloud Computing Resource Management -- Resource Allocation and Placement in Multi-access Edge Computing -- Resource Scheduling in Integrated IoT and Fog Computing Environments: A Taxonomy, Survey and Future Directions -- Trusted task offloading and resource allocation strategy in MEC environment -- Resource Management in Edge Clouds: Latency-aware Approaches for Big Data Analysis -- FSRmSTS – An Optimized Task Scheduling with a Hybrid Approach: Integrating FCFS, SJF, and RR with Median Standard Time Slice -- Container Orchestration in Heterogeneous Edge Computing Environments -- Resource targeted cybersecurity attacks in cloud computing environments -- Load balancing using Swarm intelligence in cloud Environment -- Interoperability and Portability in Big Data Analysis based Cloud-Fog-Edge-Dew Computing -- Cyber attack victim separation: new dimensions to minimize attack effects by resource management -- eBPF and XDP Technologies as Enablers for Ultra-Fast and Programmable Next-Gen Network Infrastructures -- Deep Reinforcement Learning (DRL)-based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions.
    Abstract: This book focuses on resource management in distributed computing systems. The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge computing. The topics covered in the book are resource management in cloud computing/edge computing/fog computing/dew computing, resource management in Internet of things, resource allocation, scheduling, monitoring, and orchestration in distributed computing systems, resource management in 5G network and beyond, latency-aware resource management, energy-efficient resource management, interoperability and portability, security and privacy in resource management, reliable resource management, trustworthiness in resource management, fault tolerance in resource management, and simulation related to resource management.
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  • 88
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819724550
    Language: English
    Pages: 1 Online-Ressource(XI, 70 p. 10 illus., 9 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: SpringerBriefs in Computational Intelligence
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Internet of things.
    Abstract: Chapter 1:Introduction.-Chapter 2: HR in the metaverse -The progress needed for the metaverse to transform HR.-Chapter 3: Benefits of Metaverse for HR.-Chapter 4: Maximizing HR Potential in the Metaverse vs Limitations & Challenges.-Chapter 5: People and machines in harmony -- Chapter 6: Industry 5.0 and employee satisfaction.-Chapter 7: Relationship between metaverse and industry 5.0.-Chapter 8:The technologies involved in the industrial metaverse.-Chapter 9: Motivation behind the Integration of the Metaverse with Industry 5.0 -- Chapter 10 :Web2 to Web3: The Changing face of digital privacy.-Chapter 11.Challenges Facing Cybersecurity in the Metaverse.-12. Industrial metaverse is transforming businesses: real-world use cases.-Chapter 13. The potential of the Metaverse in manufacturing.-Chapter 14. Metaverse in construction sector.-Chapter 15. Application of Metaverse Service to Healthcare Industry.-Chapter 16. Conclusions.
    Abstract: This book provides a detailed picture of the metaverse for industry 5.0. In the context of Industry 5.0, the concept of the metaverse aligns with the vision of Web 4.0, representing a digital ecosystem where individuals and organizations collaborate in a human-centric approach to create personalized value.This virtual universe connects multiple interconnected worlds, enabling real-time interactions between users and computer-generated environments. By integrating technologies such as artificial intelligence (AI), virtual reality (VR), augmented reality (AR), mixed reality(MR) and the Internet of Things (IoT), the metaverse within Industry 5.0 aims to foster innovation and enhance productivity, efficiency, and overall well-being through tailored and value-driven solutions. This book explores the concept of the metaverse in the context of Industry 5.0, highlighting its definition, evolution, advantages, and disadvantages. It also discusses pillars of technological advancement, challenges, and opportunities, ethical issues including its integration into various sectors, i.e., healthcare, construction, manufacturing and others. The entry concludes with a proposal for a conceptual framework for integrating the human-centric metaverse.
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  • 89
    ISBN: 9783031597541
    Language: English
    Pages: 1 Online-Ressource(XXVI, 114 p. 88 illus., 84 illus. in color.)
    Edition: 2nd ed. 2024.
    Series Statement: Studies in Systems, Decision and Control 530
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Electronics. ; Aerospace engineering. ; Astronautics. ; Artificial intelligence. ; Solar system.
    Abstract: 1. Urban Air Mobility: Definitions, Regulations and Technologies -- 2. Unmanned Aircraft System: State of the art -- 3. SLAD System: Introduction and Description -- 4. Experimental Data Collection and Applied methodologies -- 5. Atmospheric Effects Analysis on Sensors involved in SLAD system -- 6. Simulations Tests and Results -- 7. Bluetooth Low Energy Positioning Technology -- 8. Conclusions.
    Abstract: This book reports on the design and development of a system that assists remote pilots during navigation. It focuses on the design and development of a ground station that assists remote pilots during maneuvers such as take-off or landing procedures, in case a high accuracy is required or the GNSS signal is lost. Continuing the tradition of the previous volume, and being its revised edition, this book covers the latest UAS regulations together with updated strategies for finding the best and safest trajectory and landing site, with a special focus on urban air mobility applications. It describes the system’s components, such as the LiDAR sensor, the temperature and humidity sensors, the Raspberry Pi 3 controller, and the Bluetooth Low Energy Transmitter, in detail. Further, it discusses the experimental tests carried out in both controlled laboratory settings and real-world environments. All in all, this book offers a timely survey of both regulations of and electronics design for unmanned aircraft systems, with extensive information on new methods and technologies for the development of Detect and Avoid systems for unmanned aerial vehicles.
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  • 90
    ISBN: 9789819733286
    Language: English
    Pages: 1 Online-Ressource(X, 715 p. 299 illus., 251 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Electrical Engineering 1205
    Parallel Title: Erscheint auch als
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    Keywords: Control engineering. ; Robotics. ; Automation. ; Signal processing. ; Computational intelligence. ; Multiagent systems. ; System theory. ; Control theory.
    Abstract: This book includes original, peer-reviewed research papers from the 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2023), held in Nanjing, China on November 17-19, 2023. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment. The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike.
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  • 91
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    ISBN: 9789819720118
    Language: English
    Pages: 1 Online-Ressource(XXVII, 136 p. 62 illus., 57 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Image processing. ; Artificial intelligence.
    Abstract: Introduction -- Literature Survey -- Modified Transmission Map Estimation Function -- Compact Single Image Dehazing Network -- Z-Score Approach for Image Enhancement.
    Abstract: This book offers a detailed insight of artificial intelligence (AI) algorithms for image dehazing and non-uniform illumination enhancement. In this book, various image enhancement techniques under hazy and non-uniform illumination conditions are discussed. The book specifically provides a detail on how to approach image enhancement under different outdoor conditions using AI tools. The biggest benefit a reader would accrue is to get exposed to the various aspects one should take care of while working with digital images. The book also includes multiple inventions which were recently introduced by the authors for image enhancement and reviews the state of the art in respective subject matters.
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  • 92
    ISBN: 9789819969845
    Language: English
    Pages: 1 Online-Ressource(XII, 535 p. 205 illus., 155 illus. in color.)
    Edition: 1st ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Sustainable architecture.
    Abstract: Manifesta: An Event Management Platform Using Recommendation System -- An Empirical Study on the Information Security Threats due to Remote Working Environments -- Intelligent Surveillance Tower for Detection of the Drone from the other aerial objects using Deep learning -- A Hybrid Ensemble Machine Learning Approach (EHML) for DDOS attack Detection in Smart City Network Traffic -- Identifying Instances of Cyberbullying on Twitter Using Deep Learning -- Machine Learning Techniques for Real-Time Human Face Recognition -- Image Steganography Using Particle Swarm Optimization -- Intelligent Inventory Management in Retail Stores using Four State of the Art Object Detection models -- Supply Chain Risk Management through Zero-Trust Architecture -- Solution of Goal Programming Product Mix Problem with Cohort Intelligence Algorithm -- QuickTag: A Machine Learning Based Automated Toll Collection System Using Optical Character Recognition -- IoT Based Pothole Detection and Analysis for Road Quality Assessment and Human Safety Using Machine Learning Approach -- Localised Land-Use Classification using U-Net & Satellite Imaging -- An Intelligent Fire Extinguisher Monitoring System for Smart Cities -- Performance Analysis of Node Classification to Secure Intelligent Transportation System in VANET -- Safety and Disasters Evaluation in the Civil Aviation of Iran -- Impact of Deepfakes and Gradient Centralization on COVID-19 Diagnosis: A Compact Swin Transformer based Approach -- A Deep Learning Pipeline for Cervical Cancer Detection -- Heuristic Neural Network for Thermography Breast Cancer Detection -- Recognizing Raga of Indian Classical Songs using Regular Expressions -- Offline Handwritten Multilingual Numeral Recognition using CNN -- An Analytical Study for Implementing 360-degree m-HRM Practices Using Amazon Mechanical Turk and Machine Learning in IT Sector -- Buffer Allocation in Unreliable Production Lines using Infinitesimal Perturbation Analysis and Genetic Algorithm -- A predictive system for efficient Portfolio Management: An application of ANN and Technical Indicators -- IoT-based Smart System for Real-time Drowsy Driver Detection and Response.
    Abstract: This book presents the select proceedings of the 2nd International Conference on Intelligent Systems and Applications 2023. The theme of this conference is ‘Intelligent Systems for Smart Cities'. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking and finance, a sustainable environment, social media and cyber security, crime prevention, and disaster management. The book will be useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.
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  • 93
    ISBN: 9789819979622
    Language: English
    Pages: 1 Online-Ressource(XIII, 586 p. 313 illus., 247 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Algorithms for Intelligent Systems
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Internet of things. ; Cooperating objects (Computer systems).
    Abstract: The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2023), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during June 27–28, 2023. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.
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  • 94
    ISBN: 9783031318016
    Language: English
    Pages: 1 Online-Ressource(X, 598 p. 34 illus., 29 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 117
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Digital transformation and Disruptive Technologies -- Cloud Computing and DevOps on Managing Projects -- Product Differentiation Strategy between Cost Leadership Strategy and Order-Winners -- Customisation Strategy and Product Variety on Operational Performance -- Demand Forecasting on Effective Supply Chain with Mediating Role of Strategic Planning -- Information Sharing and Delivery Time on Customer Happiness.
    Abstract: This book takes a unique approach by exploring the connection between cybersecurity, digitalization, and business intelligence. In today's digital landscape, cybersecurity is a crucial aspect of business operations. Meanwhile, organizations continue to leverage digital technologies for their day-to-day operations. They must be aware of the risks associated with cyber-attacks and implement robust cybersecurity measures to protect their assets. It provides practical insights and solutions to help businesses better understand the impact of cybersecurity on their digitalization and business intelligence strategies. It provides practical insights and solutions for implementing cybersecurity measures in organizations and covers a wide range of topics, including threat intelligence, risk management, compliance, cloud security, and IoT security. The book takes a holistic approach and explores the intersection of cybersecurity, digitalization, and business intelligence and examines the possible challenges and opportunities.
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  • 95
    ISBN: 9789819978175
    Language: English
    Pages: 1 Online-Ressource(XX, 597 p. 294 illus., 251 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 820
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: PV Array System Stimulation Affected By Variability in Temperature & Location -- A Real-Time Cataract Detection And Diagnosis Through Web-Based Imaging Analysis -- A Survey of Decentralized Digital Voting System using Blockchain Technology -- Multiple Infectious Disease Diagnosis and Detection using Advanced CNN Models -- Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance -- Forest Fire Detection and Prediction using HSV and MLP -- An Insight into recent advances in the Intelligent Controller Methods -- Some Observations on Social Media Mining tools for Health Applications -- Smart Contact Lenses for Monitoring Patient’s Vision : A Generic Review -- Liver lesion detection from MR T1 In-phase and Out-phase Fused Images and CT Images using YOLOv8 -- Analyzing Blockchain Data to Detect Bitcoin Addresses Involved in Illicit Activities using Anomaly Detection -- Comparing Spring Boot and ReactJS with other Web Development Frameworks: A Study -- Performance Analysis of InceptionV3, VGG16, Resnet50 models for crevices recognition on surfaces -- A Machine Learning Approach for Moderating Toxic Hinglish Comments of YouTube Videos -- Instant Accident Detection and Emergency Alert System -- A Novel Approach to Video Summarization using AI-GPT and Speech Recognition -- Classification of Underwater Fish Species using Custom-Built Deep Learning Architectures -- Deep Learning Based Approach for Plant Disease Classification -- Prediction of liver disease using Machine Learning Algorithms -- Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI images using Deep Learning -- CloneAI : A Deep Learning Based Approach for Cloned Voice Detection -- Analyzing the Performance and Wireless Network Capacity of NOMA: Study of the Impact of OMA and NOMA on 5G Network -- Malarıa Parasıte Detectıon Usıng Deep Neural Networks -- IoT-based Agriculture: Identification and Classification of Apple Quality Using Deep Learning -- Plant Disease Detection on Edge Devices -- Analyze the Quality of Wine based on Machine Learning Approach -- Safeguarding financial transaction with Cryptocurrency -- Analysis and control of Dual Active Bridge Converter for Vehicle to load application in electric vehicle -- Efficient Plant Leaf Disease Detection using a Customized Convolutional Neural Network -- Analyzing and Predicting Temperature Trends in a Metropolitan Area Using Time Series Analysis and Machine Learning Techniques -- An Explainable AI (XAI) Based Framework for Detecting Diseases in Paddy Crops -- De-noising Tail Entity Selection in Automatic Question Generation with Fine-tuned T5 Model -- Hybridization of Artificial Gravity Cuckoo Search Algorithm with XGboost- Particle Swarm Optimized Neural Networks for Cardiac Feature Selection -- Urdu Sentiment Analysis: A Review -- Fir Filter Design Using Distributed Arithmetic With Lookup Tables (LUTs) -- Classification of Brain Tumour disease with Transfer learning using modified pre-trained deep convolutional neural network -- Bayesian Optimized Traffic Sign Recognition on Social Media Data Using Deep Learning -- Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders -- Predicting Covid-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis -- Stock Price Prediction using Sentiment Analysis on Financial News -- A modified self organizing map with mean-shift clustering for seismicity analysis of earthquake catalogs -- Adopting Blockchain Technology for Smart Farming and Food Security.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
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  • 96
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    ISBN: 9783031353789
    Language: English
    Pages: 1 Online-Ressource(XXIII, 580 p. 257 illus., 231 illus. in color.)
    Edition: 3rd ed. 2024.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Telecommunication. ; Artificial intelligence. ; Neural networks (Computer science).
    Abstract: Introduction -- Part 1: Type-1 Fuzzy Sets and Systems -- Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic -- Type-1 Fuzzy Logic Systems -- Part 2: Type-2 Fuzzy Sets -- Sources of Uncertainty -- Type-2 Fuzzy Sets -- Operations on and Properties OF Type-2 Fuzzy Sets -- Type-2 Relations and Compositions -- Centroid of a Type-2 Fuzzy Set: Type-Reduction -- Part 3: Type-2 Fuzzy Logic Systems -- Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS) -- TSK Interval Type-2 Fuzzy Logic Systems -- General Type-2 Fuzzy Logic Systems (GT2 FLSS) -- Conclusion.
    Abstract: The third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications, from time-series forecasting to knowledge mining to classification to control and to explainable AI (XAI). This latest edition again begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty, leading to type-2 fuzzy sets and systems. New material is included about how to obtain fuzzy set word models that are needed for XAI, similarity of fuzzy sets, a quantitative methodology that lets one explain in a simple way why the different kinds of fuzzy systems have the potential for performance improvements over each other, and new parameterizations of membership functions that have the potential for achieving even greater performance for all kinds of fuzzy systems. For hands-on experience, the book provides information on accessing MATLAB, Java, and Python software to complement the content. The book features a full suite of classroom material.
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  • 97
    ISBN: 9789819978625
    Language: English
    Pages: 1 Online-Ressource(XX, 571 p. 205 illus., 169 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 818
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Climate Change Parameter Dataset (CCPD): A Benchmark Dataset for Climate Change parameters in Jammu and Kashmir -- Brain Tumor Classification Using Deep Learning Techniques -- Machine learning Based Hardware Trojans Detection in Integrated Circuits: A Systematic Review -- Impact of Techno Stress on Employee Retention and Employee Turnover -- Single image dehazing using DCP with varying scattering constant -- Detecting IoT malware using federated learning -- A Deep learning approach for BGP security Improvement -- Wireless Sensor Network Protocols in Underwater Communication -- A Genetic Algorithm Approach for Portfolio Optimization -- Security Issues and Solutions in Post Quantum Authenticated Key Exchange for Mobile Devices -- Towards Decentralized Fog Computing: A comprehensive review of Models, Architectures, and Services -- Analysis of various MAC protocol 802.11 AX -- Monkeypox Disease Classification Using HOG-SVM Method -- A Deep Learning Model for Automatic Recognition of Facial Expressions using Haar Cascade Images -- Sensing Performance Analysis using Choatic Signal based SCMA Codebook For Secure Cognitive Communication System in 5G -- Identification of severity level for diabetic retinopathy detection using neural networks -- Metaheuristic optimized BiLSTM univariate time-series forecasting of gold prices -- Improvised Neural Machine Translation Model for Hinglish to English -- Recording of Class Attendance using DL Based Face Recognition Method -- Machine Learning Enabled Hairstyle Recommender System using Multilayer Perceptron -- Automated Health Insurance Management Framework with Intelligent Fraud Detection, Premium Prediction and Risk Prediction -- Responsible Artificial Intelligence for Music Recommendation -- A robot mapping technique for indoor environments -- A Novel Approach to Docking System for Autonomous Unmanned Aerial Vehicles -- Predicting Brain Tumor Survival using MRI Images and Machine Learning Techniques -- Intelligent Approaches of Clinical and Nonclinical Type-1 Diabetes Data Analysis -- A Learning-Based Approach For Wafer Defect Detection In Production Quality Control -- Setting Importance of Features through Means and Majority of Outcomes of Machine Learning Algorithms: An Empirical Analysis -- A Study of Simulated Working of A* and RRT* for Cargo Ship in ASVs -- ESFMS: Design of an Ensemble Sentiment analysis model for Feedback evaluation via Multimodal feature Selection process -- Towards Transfer Learning based Human Anomaly Detection in Videos -- Speech Signal Analysis Using Hybrid Feature Extraction Technique for Parkinson’s Disease Prediction -- Dataset Construction and Evaluation for Aspect-Opinion Extraction in Bangla Fine-grained Sentiment Analysis -- Improving Speaker Gender Detection by Combining Pitch and SDC -- Sentiment Analysis of Covid-19 Lockdown in India -- Applications of Smart Agriculture and an Automated Irrigation System Based on the Internet of Things -- Sensitivity of stock pricing to the optimistic and pessimistic sentiment of social media: A shreds of evidence from Nifty Indices -- Revolutionizing Cardiac Care: A Comprehensive Review of ECG-based Arrhythmia Prediction Techniques -- Yoga Posture Estimation and Correction using Mediapipe & Deep Learning Models -- Random Modulus Decomposition for Color Images Optical Asymmetric Cryptosystem Using Gyrator Domain -- A Single Line 8T SRAM Bit Cell with Robust Read, Hold Stability and Low Power -- Improving Chronic Kidney Disease Prediction using ANN with Normalization.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
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  • 98
    ISBN: 9789819990290
    Language: English
    Pages: 1 Online-Ressource(XIX, 323 p. 67 illus., 62 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1133
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Medical informatics. ; Quantitative research.
    Abstract: Autoimmune Disorders: Types, Symptoms and Risk Factors -- Immune System and Autoimmunity: Cellular and Molecular Mechanisms -- Autoimmune Diseases: Recent Insights on Epidemiology, Pathogenesis and Prevalence Rate -- The Role of Artificial Intelligence and Machine learning in Autoimmune Disorders -- Autoimmune Autonomic Disorder: AI-based Diagnosis and Prognosis -- Detection of Rheumatoid Arthritis using CNN in Autoimmune Diseases Disorders -- The Emerging Applications of Machine Learning in the Diagnosis of Multiple Sclerosis -- Exploring State-of-the-art CNN Models for Early Detection of Multiple Sclerosis using MRI Images -- AI-assisted Model for Risk Detection of Autoimmune Diseases -- Artificial Intelligence in the Diagnosis and Treatment of Rheumatoid Arthritis: Current Status and Future Perspectives -- Data Analytics for Diagnosis, Tracking, and Treatment Planning in Autoimmune Diseases using AI -- Role of Artificial Intelligence in the Treatment Management of Psoriatic Arthritis -- Artificial Intelligence, Machine Learning and Deep Learning in the Diagnosis and Treatment of Rheumatoid Arthritis: Case Studies -- Artificial Intelligence and Machine Learning Techniques in the Diagnosis of Type I Diabetes: Case Studies -- Computational Intelligence Methods for Biomarkers Discovery in Autoimmune Diseases: Case Studies -- AI-empowered Prediction of Prognosis and Treatment Response in Rheumatoid arthritis.
    Abstract: The book provides an overview of various autoimmune disorders and how artificial intelligence (AI) and machine learning will be used for the diagnosis, prognosis, and treatment of these disorders. AI algorithms are used to create synthetic patient populations with the properties of actual patient cohorts, build personalized predictive models of drug combinations and unravel complex relationships between diet, microbiome, and genetic line-up to determine the comparative treatment response. The book highlights clinical applications and challenges of AI for the diagnosis and treatment/management of autoimmune disorders which includes Rheumatoid Arthritis (RA), Multiple Sclerosis (MS), Type I Diabetes, Psoriatic Arthritis (PsA), and other critical diseases.
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  • 99
    ISBN: 9789819980314
    Language: English
    Pages: 1 Online-Ressource(XXIII, 566 p. 170 illus., 143 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 812
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Telecommunication.
    Abstract: 1. A Study on Optimizing the Personalization of Recom-mendations & Customer Services Using Artificially Intel-ligent Neural Networks to Improve Electronic commerce -- 2. Conceptualization and frames of reference of the Teaching Digital Competence. An approach from Higher Education -- 3. Stroke risk stratification using neural networks -- 4. Vitiligo Detection Using Machine Learning Algorithms -- 5. Enhanced Monkey-Pox with image processing technology utilizing deep learning for classification -- 6. Location Information for Disaster Management and Infectious Disease Control Focusing on Japan -- 7. Information Technology Adoption in Legislative Work: The Lebanese Parliament Model -- 8. Energy Harvesting Technologies for Wireless Sensor Networks.
    Abstract: This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in four volumes. The book is helpful for active researchers and practitioners in the field.
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  • 100
    ISBN: 9789819978205
    Language: English
    Pages: 1 Online-Ressource(XX, 535 p. 231 illus., 183 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes in Networks and Systems 819
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Data mining. ; Internet of things.
    Abstract: Comparative Analysis of various SRAM bit cells for 32nm technology node -- Uncovering the Threat: Exploring Covert Channel Attacks via Audio Files in Android Applications -- Emotion Recognition through Facial Expressions from Images using Deep Learning Techniques -- Optimization of Process Parameters In The Abrasive Waterjet Machining Using Bees Algorithm -- Advancement on Steganography: A Review -- Ethereum Blockchain For Private Equity Crowdfunding : Enabling Seamless USDC and Share Token Transactions -- Graph Convolutional Neural Network for IC50 Prediction Model using Amyotrophic Lateral Sclerosis Targets -- Cardiovascular Disease Prediction using Deep Learning Models -- Classification of Skin Cancer Using Integrated Methodology -- Identification of Mycobacterium Tuberculosis Employing VGG-16 Feature Extraction and Classification Using Prominent Machine Learning Classifiers on X-rays -- Cyber - Crime Analysis of India using Machine Learning -- Mapping a Conceptual Model of Color Forecasting: A Review of Machine Learning Algorithms for Enhanced Prediction Accuracy and Efficiency -- Estimation of Net Primary Productivity using CASA Biosphere Model in Hyderabad and Roorkee Region of India -- Machine Learning Models for Chronic Renal Disease Prediction -- ARTHRO - Knee Osteoarthritis Detection Using Deep Learning -- Improvised Real Time Tweet Analysis for Brand Recognition -- AI Based Facial Emotion Recognition -- Improved Genetic Algorithm in a Static Environment for the Robotic Path Planning Problem -- Development of An Event-based Dataset For Abnormal Activity Detection -- Media Text Analysis based on One-Dimensional Hashtag Embeddings -- Occluded Face Recognition using Non-global Features Extraction and K-means Clustering Algorithm -- Brain Tumor Segmentation Using Gaussian Based U-Net Architecture -- Utility of smoothing techniques in yield curve modeling for non-steady state data of Sri Lanka capital market -- WSN based secure and energy efficient smart parking management system (SPMS)using FFA-ANN -- Multilingual approach to decode Shree Rama Prashanavali using Character Recognition and String Matching -- An enhanced approach for automatic sound event detection using neural networks -- Detecting Issues Related to Environmental, Social, and Corporate Governance using SEC-BERT -- Comprehensive Analysis of Deep Learning Models for Brain Tumor Detection from Medical Imagine -- Face Counting based on pre-trained machine learning models: A brief systematic review -- A Machine Learning - Driven Soil Nutrient, and Crop Yield Recommendation Platform with Pesticide Suggestions -- A Machine Learning Approach to optimize the water consumption for irrigation of rice crop -- Raithubot: An RLHF-Finetuned Telugu Chatbot for Farmers -- UAV Enabled Systems for Industry 4.0: Applications and Challenges -- User Reception is Everything: Using a Neural Network to Predict iOS App Ratings -- A Survey of Motion Prediction for Autonomous Vehicles using the Lyft Dataset -- Dengue Fever Outbreak Prediction using Machine Learning Models: A Comparative Study Dengue Fever -- Improved Appearance Model for Handling Occlusion in Vehicle Tracking -- Enhanced Dynamic Vehicle Detection and Tracking to Improve the Quality of Image Processing using Deep Learning -- Construction of Substitution Box from Nordstrom-Robinson (N16) Code -- Natural Language to Unified Modeling diagrams A Deep Learning Approach -- Time-dependent Enhanced Personalized Semantic Map-based Transportation Mode Recommendation System -- Web Based Threat Identification Using Classification Algorithm.
    Abstract: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
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