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  • MPI Ethno. Forsch.  (274)
  • English  (274)
  • Dutch
  • International Finance Corporation  (232)
  • Jain, Lakhmi C.
  • Khanna, Ashish
  • Washington, D.C : The World Bank  (235)
  • Singapore : Imprint: Springer  (24)
  • Cham : Springer International Publishing  (15)
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  • MPI Ethno. Forsch.  (274)
  • BSZ  (39)
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  • English  (274)
  • Dutch
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  • 1
    Online Resource
    Online Resource
    Blended Finance for Climate Investments in India (2024)
    Washington, D.C : The World Bank
    Details
    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
    DOI: 10.1596/41194
    URL: Deutschlandweit zugänglich
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  • 2
    Online Resource
    Online Resource
    Fusion of machine learning paradigms : theory and applications (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031223716
    Language: English
    Pages: 1 Online-Ressource(XII, 193 p. 78 illus., 59 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 236
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Machine learning. ; Data protection.
    Abstract: Editorial Note -- Artificial Intelligence as Dual-Use Technology -- Diabetic Retinopathy Detection using Transfer and Reinforcement Learning with effective image preprocessing and data augmentation techniques. .
    Abstract: This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.
    DOI: 10.1007/978-3-031-22371-6
    URL: lizenzpflichtig
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  • 3
    Online Resource
    Online Resource
    Knowledge-Based Software Engineering: 2022 : Proceedings of the 14th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2022), Larnaca, Cyprus, August 22-24, 2022 (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031175831
    Language: English
    Pages: 1 Online-Ressource(XII, 219 p. 88 illus., 55 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Learning and Analytics in Intelligent Systems 30
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Software engineering. ; Expert systems (Computer science). ; Engineering
    Abstract: Chapter 1: Proposal of a Middleware to Support Development of IoT Firmware Analysis Tools -- Chapter 2: Feature-Based Cloud Provisioning for Rehosting -- Chapter 3: Pattern to Improve Reusability of Numerical Simulation -- Chapter 4: SpiderTailed: A Tool for Detecting Presentation Failures Using Screenshots and DOM Extraction.
    Abstract: This book contains extended versions of the works and new research results presented at the 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022). JCKBSE2022 was originally planned to take place in Larnaca, Cyprus. Unfortunately, the COVID-19 pandemic forced it to be rescheduled as an online conference. JCKBSE is a well-established international biennial conference that focuses on the applications of Artificial Intelligence on Software Engineering. The 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022) was organized by the Department of Informatics of the University of Piraeus, Greece. This book is a valuable resource for experts and researchers in the field of (knowledge-based) software engineering. It is also valuable to general readers in the fields of artificial and computational intelligence and, more generally, computer science, wishing to learn more about the exciting field of (knowledge-based) software engineering and its applications. An extensive list of bibliographic references at the end of each chapter helps readers to probe deeper into the application areas of interest to them.
    DOI: 10.1007/978-3-031-17583-1
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  • 4
    Online Resource
    Online Resource
    Proceedings of Data Analytics and Management : ICDAM 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811976155
    Language: English
    Pages: 1 Online-Ressource(XXXIV, 897 p. 482 illus., 358 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 572
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Telecommunication. ; Data protection.
    Abstract: Penetration Testing in Application using TestNG Tool -- Empirical Analysis of Psychological Well-Being of Students during the Pandemic with Rebooted Remote Learning Mode -- Handwritten Digit Recognition Using Machine Learning -- A Smart Movie Recommendation System Using Machine Learning Predictive Analysis.
    Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
    DOI: 10.1007/978-981-19-7615-5
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  • 5
    Online Resource
    Online Resource
    Soft Computing Applications : Proceedings of the 9th International Workshop Soft Computing Applications (SOFA 2020) (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031236365
    Language: English
    Pages: 1 Online-Ressource(XXIV, 737 p. 437 illus., 331 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Advances in Intelligent Systems and Computing 1438
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Enhanced Functionality of Footing Machine through Deep Learning -- Control of Robotic Manipulator Using Optimized Neural Networks -- Robot Identification using Modern Pattern Recognition Techniques -- Fuzzy Logic Based Diagnostic System for High Voltage Devices -- The Role of AI in transforming the consumer experience: A study on healthcare sector in India -- Ontology-Driven Smart Health Insurance System -- Autistic Verbal Behavior Parameters -- Energy Efficient Data Transmission in Wireless Body Area Network (WBAN) -- Neurodegenerative Disorders Screening System using ‘Intelligent’ Sensors -- Language in the brain What do we know about its organization, and how has neuroimaging improved our understanding?.
    Abstract: Soft computing techniques open significant opportunities in several areas, such as industry, medicine, energy, security, transportation, and education. This book provides theory and applications development using soft computing techniques by organizing intelligent systems for many applications to the benefit of humanity. The book comes from a multidisciplinary subject whose audience can come from different academic departments, e.g., department of computer science and engineering, department of medical imaging, department of biomedical informatics, department of education sciences, and so on where artificial intelligence and soft computing are of routine courses. The book covers a range of audience from academicians, practitioners, researchers, and students to stakeholders. It can support graduate students and interns to develop a deep understanding of the latest paradigms in the soft computing techniques.
    DOI: 10.1007/978-3-031-23636-5
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  • 6
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    Online Resource
    Intelligent Decision Technologies : Proceedings of the 15th KES-IDT 2023 Conference (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819929696
    Language: English
    Pages: 1 Online-Ressource(XVII, 318 p. 131 illus., 91 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 352
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Engineering
    Abstract: Data, Information, Knowledge, Wisdom Pyramid Concept Revisited in the Context of Deep Learning -- Multimedia Industrial and Medical Applications Supported by Machine Learning -- Accessibility Measures and Indicators: A Basis for Dynamic Simulations to Improve Regional Planning -- Image-multimodal Data Analysis for Defect Classification: Case Study of Industrial Printing -- Image-multimodal Data Analysis for Defect Classification: Case Study of Semiconductor Defect Patter -- Decision-making Model for Updating Geographical Information Systems for Polish Municipalities Using the Fuzzy TOPSIS Method -- An Ontology-based Collaborative Assessment Analytics Framework to Predict Groups’ Disengagement -- On Sensing Non-visual Symptoms of Northern Leaf Blight Inoculated Maize for Early Disease Detection Using IoT/AI -- Inference Analysis of Lightweight CNNs for Monocular Depth Estimation -- Arabic Text-to-speech Service with Syrian Dialect -- A Systematic Review of Sentiment Analysis in Arabizi.
    Abstract: This book gathers selected papers from the KES-IDT 2023 Conference, held in Rome, Italy, on June 14–16, 2023. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed is classification, prediction, data analysis, big data, data science, decision support, knowledge engineering and modeling in diverse areas such as finance, cybersecurity, economics, health, management and transportation. The problems in industry 4.0 and IoT are also addressed. The book contains several sections devoted to specific topics, such as intelligent data processing and its applications, high-dimensional data analysis and its applications, multi-criteria decision analysis—theory and applications, large-scale systems for intelligent decision-making and knowledge engineering, decision technologies and related topics in big data analysis of social and financial issues and decision-making theory for economics.
    DOI: 10.1007/978-981-99-2969-6
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  • 7
    Online Resource
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    Agents and Multi-agent Systems: Technologies and Applications 2023 : Proceedings of 17th KES International Conference, KES-AMSTA 2023, June 2023 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819930685
    Language: English
    Pages: 1 Online-Ressource(XVI, 424 p. 101 illus., 84 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 354
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Expert systems (Computer science). ; Data mining. ; Artificial intelligence.
    Abstract: This book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation and anthropic-oriented computing that were originally presented at the 17th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2023), held in Rome, Italy, in June 14–16, 2023. The respective papers cover topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature-inspired manufacturing, all of which contribute to the modern digital economy.
    DOI: 10.1007/978-981-99-3068-5
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  • 8
    Online Resource
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    Artificial Intelligence and Machine Learning for Healthcare : Vol. 1: Image and Data Analytics (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031111549
    Language: English
    Pages: 1 Online-Ressource(XIII, 231 p. 66 illus., 53 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 228
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence. ; Medical informatics.
    Abstract: An Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. .
    Abstract: Artificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.
    DOI: 10.1007/978-3-031-11154-9
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  • 9
    Online Resource
    Online Resource
    Proceedings of Third Doctoral Symposium on Computational Intelligence : DoSCI 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811931482
    Language: English
    Pages: 1 Online-Ressource(XXXIV, 861 p. 430 illus., 328 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 479
    Parallel Title: Erscheint auch als
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    Keywords: Artificial intelligence—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Artificial intelligence
    Abstract: TransCRF - Hybrid Approach for Adverse Event Extraction -- Process of Recognition of Plant Diseases by Using Hue Histogram, K-Means Clustering and Forward-Propagation Deep Neural Networks -- Analysis of Variants of BERT and Big Bird on Question Answering Datasets in the Context of Scientific Research Article Reviews -- Twitter Opinion Mining on COVID-19 Vaccinations by Machine Learning Presence -- Blockchain-Based Efficient and Secured Framework for Logistics Management -- Blockchain-Based Framework to Handle Security & Privacy for IoT System -- Knowledge Management using Blockchain Technology for Digital Resources -- Blockchain Mechanism for Resolving Privacy Issues in a Smart City -- Design and Analysis of 50 Channel by 40 Gbps DWDM RoF System for 5G Communication Based on Fronthsul Scenario -- A Semantic Approach to Data Integration from Clinical Polystore -- Service Matter Judgement Prediction using Machine Learning -- Predicting Smart Building Occupancy using Machine Learning -- Formal Specification of Dynamic Load Based Coordinator Selection Algorithm with Recovery in Distributed Systems.
    Abstract: This book features high-quality research papers presented at Third Doctoral Symposium on Computational Intelligence (DoSCI 2022), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 5, 2022. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high performance computing, biomedical computing, and decision support and decision making.
    DOI: 10.1007/978-981-19-3148-2
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  • 10
    Online Resource
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    Sustainability in Energy and Buildings 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811987694
    Language: English
    Pages: 1 Online-Ressource(XVIII, 443 p. 187 illus., 166 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 336
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Sustainable architecture. ; Renewable energy sources.
    Abstract: Impact of Climate on Building Energy Performance, Urban Built Form and Urban Geometry -- A Decision Support Tool for the Co-Design of Energy and Seismic Retrofitting Solutions within the e-SAFE Project -- Comparison of the Morphological Influence of Canopy Roughness Space in Shenzhen and Harbin Main Urban Areas -- The Impact of a Vertical Greening System on the Indoor Thermal Comfort in Lightweight Buildings and on the Outdoor Environment in a Mediterranean Climate Context -- Recycling Volcanic Ash and glass Powder in the Production of Alkali Activated Materials -- Thermal Environment Retrofitting of Outdoor Activity Spaces in Old Settlements in Severe Cold Regions of China -- A Novel Laboratory Procedure to Determine Thermal Conductivity of Green Roof Substrates -- Study on Residents' Perception of Low-Carbon Policy and its Influence on Low-Carbon Behavior Intention -- The Techno-Economic Effect of PV-BSS Size Under Various Supporting Schemes: A Replicable Method for Buildings -- Environmental Assessment, Cost Assessment and User Experience of Electric Excavator Operations on Construction Sites in Norway -- A Rapid Survey Form for Users? Exposure and Vulnerability Assessment in Risk-Prone Built Environments -- Assessing People's Efficiency in Workplaces by Coupling Immersive Environments and Virtual Sounds -- Assessment Analysis of BEV/ PHEV Recharge in a Residential Micro-Grid based on Renewable Generation -- Impact of using Phase Change Materials with Different Wall Orientations in a Classroom Building Under a Warm Temperate Climate -- Applications of Thermoelectricity in Buildings: from Energy Harvesting to Energy Management.
    Abstract: This book contains the proceedings of the 14th KES International Conference on Sustainability and Energy in Buildings 2021 (SEB2022) held in Split, Croatia, during September 14–16, 2022, organized by KES International. SEB22 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.
    DOI: 10.1007/978-981-19-8769-4
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  • 11
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    Human Centred Intelligent Systems : Proceedings of KES-HCIS 2023 Conference (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819934249
    Language: English
    Pages: 1 Online-Ressource(X, 178 p. 66 illus., 60 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 359
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; User interfaces (Computer systems). ; Human-computer interaction. ; Cooperating objects (Computer systems). ; Internet of things.
    Abstract: The volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2023 (KES HCIS 2023), held in Rome, Italy on June 14–16, 2023. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems.
    DOI: 10.1007/978-981-99-3424-9
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  • 12
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    Smart Education and e-Learning—Smart University : Proceedings of the 10th International Conference on Smart Education and e-Learning (KES SEEL-2023) (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819929931
    Language: English
    Pages: 1 Online-Ressource(XV, 306 p. 88 illus., 72 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 355
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Teachers—Training of. ; Computational intelligence. ; Artificial intelligence. ; Teachers
    Abstract: Part 1: Smart Education -- Chapter 1: Smart Education: Students’ Perception of Hybrid Learning in Graduate Computing Curriculum -- Chapter 2: Gaining Insight into Adoption of Immersive Technologies in Higher Education -- Chapter 3: Innovative Methods for Smart Education: Hybrid Approach -- Chapter 4: Impact of Offline and Online Lecture Formats on Student Satisfaction with the University -- Chapter 5: Possibilities of Using Multimedia Technologies in the Learning Process for Children with Special Needs -- Part 2: Smart e-Learning -- Chapter 6: Online Ed.D. Program Development: A Program Level Perspective -- Chapter 7: Using CAI to Provide Early Literacy Instruction for All Learners -- Chapter 8: Online Doctoral Faculty Engagement: Building Connections Through Authenticity -- Chapter 9: Reliability Issues with At-Home Assessment During the COVID-19 Pandemic -- Chapter 10: Student Support in an Online Environment: Doctoral Student Feedback. etc.
    Abstract: This book contains the contributions presented at the 10th international KES conference on Smart Education and e-Learning (SEEL-2023) with the Smart University as the main conference theme. The conference is being held on June 14-16, 2023 in Rome, Italy in both in-person and online modes. The book contains high quality peer-reviewed papers that are grouped into several interconnected parts: Part 1 – Smart Education, Part 2 – Smart e-Learning, Part 3 – Smart University, Part 4 – Smart Education: Case Studies and Research, and Part 5 – Smart Company: Case Studies and Research. Smart education, smart e-learning, smart universities and smart companies are emerging and rapidly growing areas with the potential to transform the existing teaching strategies, learning environments, and educational/training activities and technology in academic institutions and training centers. Smart education/training and smart e-learning are focused on enabling instructors/trainers to develop innovative ways of achieving excellence in teaching in highly technological smart classrooms/labs, and providing students/learners with new opportunities to maximize their success and select the best options for their education/training, location and learning style, as well as the mode of content delivery. This book serves as a useful source of research data and valuable information on current research projects, best practices and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners – all those who are interested in smart education, smart e-learning, smart university and smart business/company paradigms, concepts, systems and technology.
    DOI: 10.1007/978-981-99-2993-1
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  • 13
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    Innovation in Medicine and Healthcare : Proceedings of 11th KES-InMed 2023 (2023)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789819933112
    Language: English
    Pages: 1 Online-Ressource(XVI, 396 p. 143 illus., 106 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 357
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Medical informatics. ; Artificial intelligence.
    Abstract: Designing deep learning architectures with neuroevolution. Study case: fetal morphology scan -- Optimized Deployment Planning for Elderly Welfare Facilities Based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly -- Online Parent Counselling in Speech and Language Therapy - the View of the Professionals -- Modelling Competing Risk for Stroke Survival Data -- Artificial Intelligence Chatbots and Conversational Agents - an Overview of Clinical Studies in Health Care -- Challenges and Solutions for Artificial Intelligence Adoption in Healthcare – A Literature Review -- An Explainable Deep Network Framework with Case-based Reasoning Strategies for Survival Analysis in Oncology -- Healthcare under Society 5.0: A Systematic Literature Review of Applications and Case Studies -- Strategic Risk Management for Low-Code Development Platforms with Enterprise Architecture Approach: Case of Global Pharmaceutical Enterprise -- Optimized Deployment Planning for Elderly Welfare Facilities based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly -- Characterizing Groups of Patients with Depression using Clustering Techniques.
    Abstract: This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-23), held in Rome, Italy, on June 14–16, 2023. Covering a number of key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.
    DOI: 10.1007/978-981-99-3311-2
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  • 14
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    Building Green : Sustainable Construction in Emerging Markets (2023)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: 2201
    Keywords: Access To Finance ; Adaptation To Climate Change ; Carbon Emission Reduction ; City Development Strategies ; Climate Change Adaptation ; Climate Change Mitigation and Green House Gases ; Construction Materials ; Decarbonization ; Developing Countries ; Emerging Markets ; Environment ; Finance and Financial Sector Development ; Sustainable Construction ; Urban Development
    Abstract: How developing countries meet their rising building needs will be pivotal to the world's climate future. The good news is that the projected emissions growth in construction value chains can be reduced significantly with the application of existing technologies, new financing instruments, and the implementation of appropriate policies. Even as emerging economies meet the rising demand for residential and commercial buildings, it is possible to reduce total emissions from the sector below today's level by 2035. To avoid perpetuating the status quo, decisive action is needed by policy makers, developers, construction material producers, financiers, and international development institutions. IFC is launching this report to guide international efforts to decarbonize construction value chains. Building Green: Sustainable Construction in Emerging Markets was prepared through close collaboration between IFC economists, investment officers, and building and constructionsector specialists. The report provides a comprehensive analysis of the challenges of reducing carbon emissions from construction value chains in developing countries, but also the considerable opportunities that willcome from mobilizing the estimated USD 1.5 trillion of investment required for this transition
    DOI: 10.1596/40561
    URL: Deutschlandweit zugänglich
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  • 15
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    Building a Better Future : IFC Annual Report 2023 Financials (2023)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: 2128
    Keywords: Education Reform and Management ; Finance and Financial Sector Development ; Financial Data ; Financial Results ; Global Outlook ; IFC ; Information Technology
    Abstract: This Management's Discussion and Analysis (MD and A) discusses the financial results of the International Finance Corporation (IFC or the Corporation) for the fiscal year ended June 30, 2023 (FY23). The MD and A contains forward looking statements which may be identified by such terms as "anticipates," "believes," "expects," "intends," "plans", "aims" or words of similar meaning. Such statements involve a number of assumptions and estimates that are based on current expectations, which are subject to risks and uncertainties beyond IFC's control. Consequently, actual future results could differ materially from those currently anticipated. IFC undertakes no obligation to update any forward-looking statements. Certain reclassifications of prior years' information have been made to conform with the current year's presentation
    DOI: 10.1596/40507
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  • 16
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    IFC Annual Report 2023 : Building a Better Future (2023)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: 2128
    Keywords: Energy Access ; Environment ; Finance and Development ; Finance and Financial Sector Development ; Innovation ; Public-Private Partnerships ; Science and Technology Development ; Technology ; Trade Finance
    Abstract: IFC, a member of the World Bank Group, is the largest global development institution focused on the private sector in emerging markets and developing economies. We work in more than 100 countries, using our capital, mobilization capacity, expertise, and influence to create jobs and raise living standards, especially for the poor and vulnerable. In fiscal year 2023, IFC committed a record 43.7 billion dollars to private companies and financial institutions in developing countries, leveraging the power of the private sector to improve people's lives as economies grapple with the impacts of global compounding crises
    DOI: 10.1596/40506
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  • 17
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    Working with Smallholders : A Handbook for Firms Building Sustainable Supply Chains, Third Edition (2023)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource (526 pages)
    Parallel Title: Erscheint auch als
    Keywords: Agribusiness ; Agricultural Finance ; Agriculture ; Climate-Smart Agriculture ; Farmer Cooperatives ; Farmer Cooperatives Training ; Gender and Agriculture ; ICT4Ag ; Smallholder Agriculture ; Smallholder Farmers ; Smallholder Supply Chains ; Smallholders
    Abstract: Smallholder farmers are the stewards of more than 80 percent of the world's farms. These small family businesses produce about one-third of the world's food. In Africa and Asia, smallholders dominate the production of food crops, as well as export commodities such as cocoa, coffee, and cotton. However, smallholders and farm workers remain among the poorest segments of the population, and they are on the frontline of climate change. Smallholder farmers face constraints in accessing inputs, finance, knowledge, technology, labor, and markets. Raising farm-level productivity in a sustainable way is a key development priority. Agribusinesses are increasingly working with smallholder farmers in low- and middle-income countries to secure agricultural commodities. More productive smallholders boost rural incomes and economic growth, as well as reduce poverty. Smallholders also represent a growing underserved market for farm inputs, information, and financial services. Working with Smallholders: A Handbook for Firms Building Sustainable Supply Chains (third edition) shows agribusinesses how to engage more effectively with smallholders and to develop sustainable, resilient, and productive supply chains. The book compiles practical solutions and cutting-edge ideas to overcome the challenges facing smallholders. This third edition is substantially revised from the second edition and incorporates new material on the potential for digital technologies and sustainable farming. This handbook is written principally to outline opportunities for the private sector. The content may also be useful to the staffs of governmental or nongovernmental development programs working with smallholders, as well as to academic and research institutions
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    Proceedings of Second Doctoral Symposium on Computational Intelligence : DoSCI 2021 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811633461
    Language: English
    Pages: 1 Online-Ressource(XX, 923 p. 413 illus., 287 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1374
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Computer software. ; Data structures (Computer science).
    Abstract: Investigation of Consumer Perception towards Digital Means of Food Ordering Services -- A systematic review of blockchain technology to find current scalability issues and solutions -- Secured Blind Image Watermarking using Entropy Technique in DCT Domain -- Prediction of Heart Disease using Genetic Algorithm -- Secured information infrastructure for exchanging information for digital governance -- Spiral CAPTCHA with Adversarial Perturbation and its Security Analysis with Convolutional Neural Network -- Predicting classifiers efficacy in relation with data complexity metric using under-sampling techniques -- Energy Efficient Data Transmission in Wireless Body Area Network (WBAN) -- A Survey: Approaches to Facial Detection and Recognition with Machine Learning Techniques -- An Energy and Space Efficient Trust based Secure Routing for OppIoT -- A Survey on Anomaly Detection Techniques in IoT -- Novel IoT End Device Architecture for Enhanced CIA: A Lightweight Security Approach.
    Abstract: This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making.
    DOI: 10.1007/978-981-16-3346-1
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  • 19
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    Sustainability in Energy and Buildings 2021 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811662690
    Language: English
    Pages: 1 Online-Ressource(XVIII, 569 p. 184 illus., 145 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 263
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    Keywords: Computational intelligence. ; Application software. ; Sustainable architecture.
    Abstract: Chapter 1. Examining the Deviation in Energy Saving Estimations Due to the Use of the Degree Days Method -- Chapter 2. Impact of Climate Zone and Orientation Angle on the Recurring Massing School Typologies in Turkey -- Chapter 3. Analysis of the influence of aerodynamic Roughness on Urban Vertical Space form: an example of Shenzhen central area -- Chapter 4. Assessing the impact of lockdown due to COVID-19 on the electricity consumption of a housing development in the UK -- Chapter 5. Embodied energy and global warming potential of radon preventive measures applied in new family houses -- Chapter 6. Automatic Architectural Drawing Labelling using Deep Convolutional Neural Network -- Chapter 7. The response of the Italian healthcare facilities to the COVID-19 pandemic: analysis of national and regional legislation -- Chapter 8. Evaluation of Circular Construction Works During Design Phase: An Overview of Valuation Tools -- Chapter 9. Landscape Integrated Photovoltaic System for a Solar Island in the Venetian Lagoon -- Chapter 10. Leaving or sheltering? A simulation-based comparison of flood evacuation strategies in urban built environments -- Chapter 11. Numerical assessment of the impact of roof albedo and thermal resistance on urban overheating: A case study in southern Italy -- Chapter 12. The value of the colour temperature in a low light intensity design -- Chapter 13. A methodology for fast simulation of energy retrofitting scenarios of social building stock -- Chapter 14. Flood risk of Open Spaces: from microscale factors of Built Environment to risk reduction strategies -- Chapter 15. Low-cost architectural strategies to reduce heat stress in social housing for hot desert climates.
    Abstract: This book contains the proceedings of the 13th KES International Conference on Sustainability and Energy in Buildings 2021 (SEB2021) held in Split, Croatia, during 15–17 September 2021 organized by KES International. SEB21 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-review 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. .
    DOI: 10.1007/978-981-16-6269-0
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  • 20
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    Handbook of Artificial Intelligence in Healthcare : Vol. 1 - Advances and Applications (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030791612
    Language: English
    Pages: 1 Online-Ressource(XVII, 456 p. 154 illus., 133 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 211
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Health informatics.
    Abstract: Advances in artificial intelligence for the identification of epileptiform discharges -- Characterizing EEG electrodes in directed functional brain networks using normalized transfer entropy and page rank -- Autistic verbal behaviour language parameterization -- Case studies to demonstrate real-world applications in ophthalmic image analysis -- Segmentation of petri plate images for automatic reporting of urine culture tests -- Repurposing routine imaging for cancer biomarker discovery using machine learning.
    Abstract: This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.
    DOI: 10.1007/978-3-030-79161-2
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  • 21
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    Soft Computing for Data Analytics, Classification Model, and Control (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030920265
    Language: English
    Pages: 1 Online-Ressource(VIII, 165 p. 83 illus., 61 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Fuzziness and Soft Computing 413
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    Keywords: Computational intelligence. ; Artificial intelligence—Data processing. ; Bioinformatics. ; Control engineering.
    Abstract: Chapter 1: An Optimization of Fuzzy Rough Set Nearest Neighbor Classification Model using Krill Herd Algorithm for Sentiment Text Analytics -- Chapter 2: Fuzzy Wavelet Neural Network with Social Spider Optimization Algorithm for Pattern Recognition in Medical Domain -- Chapter 3: Fuzzy with Gravitational Search Algorithm Tuned Radial Basis Function Network for Medical Disease Diagnosis and Classification Model -- Chapter 4: Optimal Neutrosophic Rules based Feature Extraction for Data Classification using Deep Learning Model -- Chapter 5: Self-Evolving Interval Type-2 Fuzzy Neural Network Design for The Synchronization of Chaotic Systems -- Chapter 6: Categorizing Relations via Semi-Supervised Learning using a Hybrid Tolerance Rough Sets and Genetic Algorithm Approach -- Chapter 7: Data-driven Fuzzy C-Means Equivalent Turbine-governor for Power System Frequency Response -- Chapter 8: Multicriteria group decision making using a novel similarity measure for triangular fuzzy numbers based on their newly defined expected values and variances -- Chapter 9: Bangla Printed Character Generation from Handwritten Character Using GAN.
    Abstract: This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control. The book is divided into two thematic parts. The first thematic section covers the various soft computing approaches for text classification and data analysis, while the second section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design of hybrid algorithms for applications in data analytics, classification model, and engineering control.
    DOI: 10.1007/978-3-030-92026-5
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  • 22
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    Proceedings of Data Analytics and Management : ICDAM 2021, Volume 1 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811662898
    Language: English
    Pages: 1 Online-Ressource(XXIV, 825 p. 346 illus., 247 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 90
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    Keywords: Computational intelligence. ; Computer communication systems. ; Statistics . ; Computer security.
    Abstract: Psychological stress and mental health among seafarers -- Real Time Face-Mask Detection and Analysis System -- Gait Recognition Biometric System -- Fighting Media Hyper-partisanship with Modern Language Representation Models -- ANN Based Handwritten Digit Recognition and Equation Solver -- Hyperspectral Imaging in Document Forgery -- Optimized Usability Features of Academic Websites using Chicken Swarm and Cat Swarm Optimization Algorithm -- Study and Development of Self Sanitizing Smart Elevator -- Predict COVID-19 with Chest X-ray -- Image Segmentation Techniques: A Survey -- Quantum Inspired Support Vector Machines for Human Activity Recognition in Industry 4.0 -- Hybrid System based on Genetic Algorithm and Neuro-Fuzzy Approach for Neurodegenerative Disease Forecasting -- Decentralized Library Management system using Blockchain technology -- Content based Image Retrieval using Deep Learning -- A Deep Learning-Based Feature Extraction Model for Classification Brain Tumor -- Image Classification in Python using Keras -- Predictive Analytics on E-commerce Annual Sales -- A Survey on Deep Learning Methods in Image Analytics -- Journey of Letters to Vectors through Neural Networks -- Accident Risk Prediction and Location Tracking of a Vehicle using Real-Time Data Acquisition from Vehicle Sensors -- Data Augmentation and Fine Tuning the radiography images to detect COVID-19 patients with pre-trained network of Transfer Learning -- Index Optimization using Wavelet Tree and Compression.
    Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
    DOI: 10.1007/978-981-16-6289-8
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  • 23
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    3D Imaging—Multidimensional Signal Processing and Deep Learning : 3D Images, Graphics and Information Technologies, Volume 1 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811924484
    Language: English
    Pages: 1 Online-Ressource(XIII, 260 p. 132 illus., 75 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 297
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    Keywords: Computational intelligence. ; Signal processing. ; Artificial intelligence. ; Image processing—Digital techniques. ; Computer vision.
    Abstract: Color Restoration of RGB-NIR Images in Low-light Environment Using CycleGAN -- A Novel Space Division Rough Set Model for Feature Selection -- Development of Mobile Food Recognition System Based on Deep Convolutional Network -- Image-Based Physics Rendering for 3D Surface Reconstruction: A Survey -- Network Intrusion Detection Based on Apriori-Kmeans Algorithm -- Global Analysis of Discrete S-I-R Models and S-I-S Systems -- Overview of SAR Image Change Detection Based on Segmentation -- Water Environmental Quality Assessment and Effect Prediction Based on Artificial Neural Network -- Full-Focus Imaging Detection of Ship Ultrasonic Phased Array Based on Directivity Function -- Longitudinal Structure Analysis and Segmentation Algorithm of Dongba Document -- Image Recognition Methods Based on Deep Learning -- Insulator Detection Study Based on Improved Faster-RCNN -- Comparative Analysis of Automatic Poetry Generation Systems Based on Different Recurrent Neural Networks -- Grid False Data Intrusion Detection Method Based on Edge Computing and Federated Learning -- Research on the Simulation of Informationized Psychological Sand Table Based on 3D Scene -- Innovative Design of Traditional Arts and Crafts Based on 3D Digital Technology -- Citrus Positioning Method Based On Camera And Lidar Data Fusion -- Research on Graphic Design of Digital Media Art based on Computer Aided Algorithm -- Ore Detection Method Based on YOLOv4.
    Abstract: This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers devoted to the theoretical representation and analysis of the 3D images. The related topics included are 3D image transformation, 3D tensor image representation, 3D content generation technologies, 3D graphic information processing, VR content generation technologies, multi-dimensional image processing, dynamic and auxiliary 3D displays, VR/AR/MR device, VR camera technologies, 3D imaging technologies and applications, 3D computer vision, 3D video communications, 3D medical images processing and analysis, 3D remote sensing images and systems, deep learning for image restoration and recognition, neural networks for MD image processing, etc.
    DOI: 10.1007/978-981-19-2448-4
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  • 24
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    Intelligent Decision Technologies : Proceedings of the 14th KES-IDT 2022 Conference (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811934445
    Language: English
    Pages: 1 Online-Ressource(XX, 599 p. 238 illus., 181 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 309
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Engineering—Data processing.
    Abstract: Latent Chained Comments to Retweet Extraction on Twitter -- Recommendation versus Regression Neural Collaborative Filtering -- Heuristic Approach to Improve the Efficiency of Maximum Weight Matching Algorithm Using Clustering -- Digital Cultural Heritage Twins: New Tools for a Complete Fruition of the Cultural Heritage Entities -- Arabic Speech Processing: State of the Art and Future Outlook -- Inter-rater Agreement Based Risk Assessment Scheme for ICT Corporates -- Sequence Classification via LCS -- Assured Multi-Agent Reinforcement Learning with Robust Agent-Interaction Adaptability -- Development of a Telegram Bot to Determine the Level of Technological Readiness -- Design of Multiprocessor Architecture for Watermarking and Tracing Images Using QR Code.
    Abstract: This book gathers selected papers from the KES-IDT 2022 Conference, held in Rhodes, Greece on June 20–22, 2022. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed are classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in diverse areas such as finance, cybersecurity, economics, health, management, and transportation. The problems in Industry 4.0 and IoT are also addressed. The book contains several sections devoted to specific topics, such as intelligent data processing and its applications, high-dimensional data analysis and its applications, multi-criteria decision analysis—theory and applications, large-scale systems for intelligent decision-making and knowledge engineering, decision technologies and related topics in big data analysis of social and financial issues, and decision-making theory for economics.
    DOI: 10.1007/978-981-19-3444-5
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  • 25
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    Handbook on Artificial Intelligence-Empowered Applied Software Engineering : VOL.2: Smart Software Applications in Cyber-Physical Systems (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031076503
    Language: English
    Pages: 1 Online-Ressource(XII, 197 p. 94 illus., 73 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering 3
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Software engineering. ; Cooperating objects (Computer systems).
    Abstract: Editorial Note -- Part I: Smart Software Applications in Scientific Document Processing -- Detection, Extraction and SPN Representation of Pseudo-Algorithms in Scientific Documents -- A Recommender Engine for Scientific Paper Peer-Reviewing System -- Part II: Smart Software Applications in Enteprise Modeling -- Visualization of Digital-Enhanced Enterprise Modeling -- Know-linking: When Aachine Learning Meets Organizational Tools Analysis to Generate Shared Knowledge in Large Companies -- Changes in Human Resources Management with Artificial Intelligence -- Part III: Smart Software Applications in Education -- Promoting Reading Among Teens: Analyzing the Emotional Preferences of Teenage Readers -- A Multi-Institutional Analysis of CS1 Students’ Common Misconceptions of Key Programming Concepts -- Part IV: Smart Software Applications in Healthcare and Medicine -- Clustering-based Scaling for Healthcare Data -- Normative and Fuzzy components of Medical AI Applications -- Part V: Smart Software Applications in Infrastructure Monitoring -- Adaptive Structural Learning of Deep Belief Network and its Application to Real Time Crack Detection of Concrete Structure using Drone.
    Abstract: Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions, lead current research toward the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. The book at hand, devoted to Smart Software Applications in Cyber-Physical Systems, constitutes the second volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in Smart Software Applications in (i) Scientific Document Processing, (ii) Enterprise Modeling, (iii) Education, (iv) Health care and Medicine, and (v) Infrastructure Monitoring. Professors, researchers, scientists, engineers, and students in artificial intelligence, software engineering, and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.
    DOI: 10.1007/978-3-031-07650-3
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  • 26
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    Advances in Assistive Technologies : Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 3 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030871321
    Language: English
    Pages: 1 Online-Ressource(XVI, 309 p. 103 illus., 73 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 28
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence.
    Abstract: Chapter 1: Introduction To Advances In Assistive Technologies -- Chapter 2: Applications of AI in Healthcare and Assistive Technologies -- Chapter 3: Machine Learning and Finite Element Methods in Modeling of COVID-19 spread -- Chapter 4: Learning Paradigms for Neural Networks for Automated Medical Diagnosis -- Chapter 5: Human Fall Detection in Depth-Videos using Temporal Templates and Convolutional Neural Networks. .
    Abstract: This book aims at exposing its readers to some of the most significant advances in assistive technologies. Assistive technologies develop devices to assist vulnerable people, including elderly people, people with cognitive disabilities such as memory problems or dementia, and people with functional disabilities such as those needing support in toileting, moving around, eating, bathing, dressing, grooming, and taking personal care. The ever-increasing life expectancy and world population, along with the emergence of new diseases and the regrettable continuation of armed conflicts, press for development and availability of assistive technologies that offer people in need the opportunity to live secure and controlled lives with more active participation in society and at a reduced assistive cost. This task can be accomplished only with more advanced devices than traditional-powered wheelchairs or eating/drinking devices, including prosthetics, exoskeletons, visual and hearing aids, cognitive aids, and devices enhanced with artificial intelligence. The book consists of an editorial note and an additional twelve (12) chapters, all of which have been written by authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into four parts, namely (i) Advances in Assistive Technologies in Healthcare, (ii) Advances in Assistive Technologies in Medical Diagnosis, (iii) Advances in Assistive Technologies in Mobility and Navigation, and (iv) Advances in Privacy and Explainability in Assistive Technologies. This research book is directed towards professors, researchers, scientists, engineers, and students in assistive technologies. It is also directed towards readers who come from other disciplines and is interested in becoming versed in some of the most recent assistive technologies. An extensive list of bibliographic references at the end of each chapter guides its readers to probe further into the application areas of interest to them.
    DOI: 10.1007/978-3-030-87132-1
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  • 27
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    Agents and Multi-Agent Systems: Technologies and Applications 2022 : Proceedings of 16th KES International Conference, KES-AMSTA 2022, June 2022 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811933592
    Language: English
    Pages: 1 Online-Ressource(XVI, 314 p. 103 illus., 73 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 306
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    Keywords: Computational intelligence. ; Expert systems (Computer science). ; Data mining. ; Artificial intelligence.
    Abstract: Temporal Logic in Multi-Agent Environment -- Queueless: Agent-Based Manufacturing for Workshop Production -- Anytime Evolutionary DCOP Algorithm with Distributed Solution Stores -- An Investigation into Inuences of Tweet Sentiments on Stock Market Movements -- Altruistic behavior structural holes and Team performance -- Construction of a news classication system related to information security incidents -- A Customer Experience Mapping for Knowledge Extraction from Social Simulation Results -- Explainable AI for Autism Classication in Children -- Online social networks and psychological experiences: analysis of youth perceptions through data mining -- A Systematic Review About Requirements Elicitation for Multi-Agent Systems -- A Normative Multi-Objective Based Intersection Collision Avoidance System -- Development of a transport model dedicated to an agent-based simulation of land use.
    Abstract: The book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation and anthropic-oriented computing that were originally presented at the 16th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2022), held at Rhodes, Greece in June 20–22, 2022. The respective papers cover topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature inspired manufacturing, all of which contribute to the modern digital economy.
    DOI: 10.1007/978-981-19-3359-2
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  • 28
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    3D Imaging—Multidimensional Signal Processing and Deep Learning : Multidimensional Signals, Images, Video Processing and Applications, Volume 2 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811924521
    Language: English
    Pages: 1 Online-Ressource(XIII, 238 p. 129 illus., 69 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 298
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    Keywords: Computational intelligence. ; Signal processing. ; Artificial intelligence. ; Image processing—Digital techniques. ; Computer vision.
    Abstract: Using Meta Path Information to Adjust Embedded Recommendation System -- Study on Remote Sensing Retrieval of Land Surface Evapotranspiration in Poyang Lake Region in Typical Hydrological Year -- Development and Design of Surface Quality Online Inspection System Based on Machine Vision -- Research on the Application of Artificial Intelligence in Unstructured Data Resource Management of Power News Information -- Research on Image Quality Assessment of Vehicle Panoramic View Equipment -- An Experimental Study on Extraction Method of Tobacco Color Distribution Feature -- Intelligent Campus Blog Preprocessing Model -- Research on the Distribution Map of Weeds in Rice Field Based on SegNet -- Analysis and Application of Medical Images in the Field of Artificial Intelligence -- Terahertz Surface-Plasmon-Polaritons Gradient Index Lens -- Research on Artificial Intelligence System Design of Ideological and Political Education -- Research on Interactive Art Design System Based on Artificial Intelligence Technology -- Design of Automatic Verification System for Electronic Balance Based on Machine Vision -- Research on 3D Virtual Emotional Interaction Design Based on Network Digitization -- Application of Artificial Intelligence Technology in Marketing -- Research on Application of OpenGL-based Game Design -- Accuracy Analysis and Verification of Ground based Radar Differential Interferometry.
    Abstract: This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers aimed at the multidimensional systems and signal processing, deep learning, mathematical approaches and the related applications. The related topics are multidimensional multi-component image processing; multidimensional image representation and super-resolution; compression of multidimensional spatio-temporal images; multidimensional image transmission systems; multidimensional signal processing; prediction and filtering of multidimensional process; intelligent multi-spectral and hyper-spectral image processing, intelligent multi-view image processing, 3D deep learning, 3D GIS and graphic database; data-based MD image retrieval and knowledge data mining; watermarking, hiding and encryption of MD images; intelligent visualization of MD images; forensic analysis systems for M3D graphics algorithm; 3D VR (Virtual Reality)/AR (Augmented Reality); applications of multidimensional signal processing; applications of multidimensional systems; multidimensional filters and filter-banks. .
    DOI: 10.1007/978-981-19-2452-1
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    International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 2 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811625978
    Language: English
    Pages: 1 Online-Ressource(XXI, 830 p. 364 illus., 282 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1388
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Electrical engineering.
    Abstract: Automatic Removal of Eye Blink Artefacts from EEG Data using Spatio-Temporal Features -- Autoencoder Based Model for Detecting Accounting Statement Fraud -- Increase In Mental Health Cases Post Covid Outbreak -- A Data Mining Approach to Anticipate Fear of Human's Mind During COVID-19 Outbreaks -- Evolutionary Algorithms for Face Recognition with Mask -- Stock Price Prediction using Reinforcement Learning -- Forecasting of PM10 using Intelligent Crow Search Algorithm tuned Feed Forward Neural Network -- A Hybrid Fusion Based Algorithm for Underwater Image Enhancement using Fog Aware Density Evaluator and Mean Saturation -- Computer Vision with Deep Learning Techniques for Neurodegenerative Diseases Analysis using Neuroimaging: A Survey -- Implementation of A Smart Helmet with Alcohol and Fall Detection and Navigation System.
    Abstract: This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
    DOI: 10.1007/978-981-16-2597-8
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  • 30
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    Handbook of Artificial Intelligence in Healthcare : Vol 2: Practicalities and Prospects (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030836207
    Language: English
    Pages: 1 Online-Ressource(XVII, 422 p. 89 illus., 48 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 212
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Biomedical engineering. ; Artificial intelligence. ; Health informatics.
    Abstract: Intelligent paradigms for diagnosis, prediction and control in healthcare applications -- Artificial intelligence in healthcare practice: How to tackle the “human” challenge -- A statistical analysis handbook for validating artificial intelligence techniques applied in healthcare.
    Abstract: Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans.
    DOI: 10.1007/978-3-030-83620-7
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    Advances in Machine Learning/Deep Learning-based Technologies : Selected Papers in Honour of Professor Nikolaos G. Bourbakis – Vol. 2 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030767945
    Language: English
    Pages: 1 Online-Ressource(XVI, 224 p. 85 illus., 70 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 23
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Machine learning.
    Abstract: Part I: Machine Learning/Deep Learning in Socializing and Entertainment -- Part II: Machine Learning/Deep Learning in -- Part III: Machine Learning/Deep Learning in Security -- Part IV: Machine Learning/Deep Learning in Time Series Forecasting -- Part V: Machine Learning in Video Coding and Information Extraction.
    Abstract: As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
    DOI: 10.1007/978-3-030-76794-5
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    Proceedings of Data Analytics and Management : ICDAM 2021, Volume 2 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811662850
    Language: English
    Pages: 1 Online-Ressource(XXIV, 859 p. 430 illus., 329 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 91
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    Keywords: Computational intelligence. ; Computer communication systems. ; Statistics . ; Computer security.
    Abstract: CNN Based Feature Extraction for Visual Speech Recognition in Malayalam -- Effective Rate of Minority Class Over-Sampling for Maximizing the Imbalanced Dataset -- Spectral Efficiency Analysis of Massive MIMO -- Dental Cavity Detection using YOLO -- Development of Data Set for Automatic News Telecast System for Deaf Using ISL Videos -- A Comprehensive Survey on Content Based Image Retrieval using Machine Learning -- Machine Learning Techniques for Keystroke Dynamics -- Artificial Neural Network Approach for Multimodal Biometric Authentication System -- Malware Classification and Defence Against Adversarial Attacks -- Test Suite minimization based upon CMIMX and ABC -- Comparative Analysis on Machine Learning Methodologies for the Effective Usage of Medical WSNs -- Convolutional Neural Networks for Malaria Image Classification -- Plant Leaf Disease Identification and Prescription Suggestion Using Deep Learning -- Efficient Spectrum Allocation in Wireless Networks Using Channel Aggregation Fragmentation with Reservation Channels -- Toxic Comment Classification using Bi-Directional GRUs & CNN -- Climate Dependent Crop Management through Data Modeling -- Translate2Classify: Machine Translation for E-Commerce Product Categorization in comparison to Machine Learning & Deep Learning Classification -- Multimodal Biometric Authentication by Slap Swarm based Score Level Fusion -- Hybrid Metaheuristic Algorithm based Clustering with Multi-hop Routing Protocol for Wireless Sensor Networks.
    Abstract: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
    DOI: 10.1007/978-981-16-6285-0
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    Smart and Sustainable Technology for Resilient Cities and Communities (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811691010
    Language: English
    Pages: 1 Online-Ressource(XVI, 322 p. 106 illus., 89 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Sustainability Science and Technology
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Sustainable architecture. ; Internet of things. ; Renewable energy sources.
    Abstract: Examining pedagogical approaches in developing employability skills in the wake of the Covid-19 pandemic -- Relating work-integrated learning to the employability skills discussion in the post-COVID-19 era -- Integration of Indoor Air Quality concerns in educational community through collaborative framework of Campus Bizia Lab of the University of the Basque Country -- An overview of methods for control and estimation of capacity in COVID19 pandemic from point cloud and imagery data -- Forecasting the COVID-19 spread in Iran, Italy and Mexico using novel nonlinear autoregressive neural network and ARIMA-based hybrid models -- A Comparative Study of Deep-Learning Models for COVID-19 Diagnosis based on X-ray Images -- Equipping European higher education teachers for successful and sustainable e-learning with home remote work -- Anticipating and Preparing for Future Change and Uncertainty: Building Adaptive Pathways -- A Sustainable Nutritional Behavior In The Era Of Climate Changes -- The Development of a Smart Tunable Full-Spectrum LED Lighting Technology which may Prevent and Treat Covid-19 Infections, for Society's Resilience and Quality of Life -- Energy efficient technologies for ultra-low temperature refrigeration.
    Abstract: This book is a collection of extended versions of papers presented at the KES Covid-19 Challenge international summit. The book focusses on technological, economic, and social developments to combat the effects of global and local disasters as well as the ways in which the recovery from Covid can be used to build more resilient and sustainable communities, industry, and improve the environment. It also discusses the global challenges of human-influenced climate change. There are chapters on making cities and communities more resilient through energy self-sufficiency, food production, resilient housing and buildings, human health and intelligent systems e.g. for forecasting and prediction.
    DOI: 10.1007/978-981-16-9101-0
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    Advances in Selected Artificial Intelligence Areas : World Outstanding Women in Artificial Intelligence (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030930523
    Language: English
    Pages: 1 Online-Ressource(XVII, 356 p. 159 illus., 120 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 24
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 2: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 3: Application of Rough Set-Based Characterisation of Attributes in Feature Selection and Reduction.
    Abstract: As new technological challenges are perpetually arising, Artificial Intelligence research interests are focusing on the incorporation of improvement abilities into machines in an effort to make them more efficient and more useful. Recent reports indicate that the demand for scientists with Artificial Intelligence skills significantly exceeds the market availability and that this shortage will intensify further in the years to come. A potential solution includes attracting more women into the field, as women currently make up only 26 percent of Artificial Intelligence positions in the workforce. The present book serves a dual purpose: On one hand, it sheds light on the very significant research led by women in areas of Artificial Intelligence, in hopes of inspiring other women to follow studies in the area and get involved in related research. On the other hand, it highlights the state-of-the-art and current research in selected Artificial Intelligence areas and applications. The book consists of an editorial note and an additional thirteen (13) chapters, all authored by invited women-researchers who work on various Artificial Intelligence areas and stand out for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Paradigms, (ii) Advances in Artificial Intelligence Applications, and (iii) Recent Trends in Artificial Intelligence Areas and Applications. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the Artificial Intelligence areas of interest to them.
    DOI: 10.1007/978-3-030-93052-3
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    Smart Education and e-Learning - Smart Pedagogy (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
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    Details
    ISBN: 9789811931123
    Language: English
    Pages: 1 Online-Ressource(XIX, 535 p. 167 illus., 137 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 305
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Teachers—Training of. ; Technical education.
    Abstract: This book serves as a reference for researchers and practitioners in academia and industry. Smart education, smart e-learning and smart pedagogy are emerging and rapidly growing areas that have a potential to transform existing teaching strategies, learning environments and educational activities and technology. They are focused at enabling instructors to develop innovative ways of achieving excellence in teaching in highly technological smart university and providing students with new opportunities to maximize their success using smart classrooms, smart systems and technology. This book contains the contributions presented at the 9th international KES conference on Smart Education and e-Learning (SEEL-2022) with the Smart Pedagogy as the main conference theme. It comprises of forty nine high-quality peer-reviewed papers that are grouped into several interconnected parts: Part 1—Smart Pedagogy, Part 2—Smart Education, Part 3—Smart e-Learning, Part 4—Smart University, Part 5—Smart Education: Systems and Technology, Part 6—Digital Humanities and Social Sciences for Smart University Development: the Innovative Methods, Models and Technologies, Part 7—Digital Transformation of Education and Economics in Smart University and Part 8—Smart Education for Children with Special Educational Needs. We believe this book will serve as a useful source of research data and valuable information for faculty, scholars, Ph.D. students, administrators and practitioners—those who are interested in smart education, smart e-learning and smart pedagogy.
    DOI: 10.1007/978-981-19-3112-3
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    Human Centred Intelligent Systems : Proceedings of KES-HCIS 2022 Conference (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811934551
    Language: English
    Pages: 1 Online-Ressource(XVI, 254 p. 60 illus., 45 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 310
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; User interfaces (Computer systems). ; Human-computer interaction. ; Cooperating objects (Computer systems). ; Internet of things.
    Abstract: A Collaborative Intelligence Approach to Fighting COVID-19 False News: A Chinese case -- Empirical Study on the State of Practice of Information Security Management in Local Government -- A Hybrid Automatic Facial Expression Recognition Based on Convolutional Neuronal Networks and Support Vector Machines Techniques -- Patient and Therapist Model Attributes for Social Robot Stroke Therapies Based on Implicit Knowledge from Expert Interviews -- An Evolutionary Computing based Approach for Optimal Target Coverage in Wireless Sensor Networks -- Analysis of Business Practice and Opportunities in the Construction Industry of UAE In Comparison to Gulf States -- Role of Construction Industry in the Economic Transition Across the United Arab Emirates -- Transition to Electrical and Autonomous Vehicles in China -- The Adoption Appraisal of Autonomous Vehicles -- Keep Your Distance, Automated Driving Vehicle! - Toward an Accurate Localization Solutions for Automotive Applications.
    Abstract: The volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2022 (KES HCIS 2022), held in Rhodes, Greece on June 20–22, 2022. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems.
    DOI: 10.1007/978-981-19-3455-1
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    Handbook on Artificial Intelligence-Empowered Applied Software Engineering : VOL.1: Novel Methodologies to Engineering Smart Software Systems (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031082023
    Language: English
    Pages: 1 Online-Ressource(XII, 329 p. 242 illus., 102 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Artificial Intelligence-Enhanced Software and Systems Engineering 2
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Software engineering.
    Abstract: Introduction to Handbook on Artificial Intelligence-empowered Applied Software Engineering - VOL.1: Novel Methodologies to Engineering Smart Software Systems -- Part I: Survey of Recent Relevant Literature -- Synergies Between Artificial Intelligence and Software Engineering: Evolution and Trends -- Part II: Artificial Intelligence-Assisted Software Development -- Towards Software Co-Engineering by AI and Developers -- Generalizing Software Defect Estimation using Size and Two Interaction Variables -- Building of an Application Reviews Classifier by BERT and Its Evaluation -- Harmony Search-enhanced Software Architecture Reconstruction -- Enterprise Architecture-based Project Model for AI Service System Development -- Part III: Software Engineering Tools to develop Artificial Intelligence Applications -- Requirements Engineering Processes for Multi-Agent Systems -- Specific UML-Derived Languages for Modeling Multi-Agent Systems -- Methods for ensuring the overall safety of machine learning systems -- MEAU: A Method for the Evaluation of the Artificial Unintelligence -- Quantum Computing meets Artificial Intelligence: Innovations & Challenges. .
    Abstract: This book provides a structured overview of artificial intelligence-empowered applied software engineering. Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions lead current research towards the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. This book at hand, devoted to Novel Methodologies to Engineering Smart Software Systems Novel Methodologies to Engineering Smart Software Systems, constitutes the first volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in (i) Artificial Intelligence-Assisted Software Development and (ii) Software Engineering Tools to develop Artificial Intelligence Applications, as well as a detailed Survey of Recent Relevant Literature. Professors, researchers, scientists, engineers and students in artificial intelligence, software engineering and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.
    DOI: 10.1007/978-3-031-08202-3
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    Advances in Artificial Intelligence-based Technologies : Selected Papers in Honour of Professor Nikolaos G. Bourbakis—Vol. 1 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030805715
    Language: English
    Pages: 1 Online-Ressource(XII, 237 p. 80 illus., 53 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Learning and Analytics in Intelligent Systems 22
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence.
    Abstract: Chapter 1: Advances in Artificial Intelligence Tools and Methodologies -- Chapter 2: Advances in Artificial Intelligence-based Applications and Services -- Chapter 3: Theoretical Advances in Computation and System Modeling.
    Abstract: With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
    DOI: 10.1007/978-3-030-80571-5
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    International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 3 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811630712
    Language: English
    Pages: 1 Online-Ressource(XXXII, 893 p. 389 illus., 285 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1394
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Electrical engineering.
    Abstract: Chapter 1. Explanation Based Serendipitous Recommender System (EBSRS) -- Chapter 2. Introduction of feature selection and leading-edge technologies viz. TENSORFLOW, PYTORCH and KERAS: An empirical study to improve prediction accuracy of cardiovascular disease -- Chapter 3. Campus Placement Prediction System using Deep Neural Networks -- Chapter 4. Intensity of Traffic Due to Road Accidents in USA: A Predictive Model -- Chapter 5. Credit Card Fraud Detection using Blockchain and Simulated Annealing k-means Algorithm -- Chapter 6. Improving Accuracy of Deep Learning Based Compression Techniques by Introducing Perceptual Loss in Industrial IoT -- Chapter 7. Characterization and Prediction of Various Issue Types: A Case Study on the Apache Lucene System -- Chapter 8. Heart Disease prediction using Machine Learning Techniques: A Quantitative Review -- Chapter 9. Enhancing CNN with Pre-processing Stage in Illumination Invariant Automatic Expression Recognition -- Chapter 10. An Expert Eye for Identifying Shoplifters in Mega Stores -- Chapter 11. Sanskrit Stemmer Design : A Literature Perspective -- Chapter 12. Predicting Prior Academic Failure of Students’ using Machine Learning Approach -- Chapter 13. Deep Classifier for News Text Classification using Topic Modelling Approach -- Chapter 14. Forecasting covid-19 cases using Deep CNN LSTM model -- Chapter 15. Multi-resolution video steganography technique based on Stationary wavelet transform (SWT) and Singular value decomposition (SVD) -- Chapter 16. A novel Dual Threshold Weighted Feature Detection for Spectrum Sensing in 5G systems -- Chapter 17. A Systematic Review On Various Attack Detection Methods For Wireless Sensor Networks -- Chapter 18. Electronic Beam Steering in Timed Antenna Array by Controlling the Harmonic Patterns with Optimally Derived Pulse-Shifted Switching Sequence -- Chapter 19. Classification of attacks on MQTT based IoT system using Machine learning techniques -- Chapter 20. Encrypted Traffic Classification using eXtreme Gradient Boosting algorithm -- Chapter 21. Analyzing Natural Language Essay Generator Models using Long Short Term Memory Neural Networks -- Chapter 22. Performance Evaluation of GINI Index and Information Gain Criteria on Geographical Data: An Empirical Study Based on JAVA and Python.
    Abstract: This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
    DOI: 10.1007/978-981-16-3071-2
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  • 40
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    International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 1 (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811625947
    Language: English
    Pages: 1 Online-Ressource(XXI, 887 p. 449 illus., 322 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Advances in Intelligent Systems and Computing 1387
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Electrical engineering.
    Abstract: Building Virtual High-Performance Computing Clusters with Docker: An Application Study at the University of Economics Ho Chi Minh City -- Implementing Multilevel Graphical Password Authentication Scheme in Combination with One Time Password -- Application of Noise Reduction Techniques to Improve Speaker Verification to Multi-Speaker Text-to-Speech Input -- Utilization of Machine Learning Algorithms for Thyroid Disease Prediction -- Detection of Hepatitis C Virus Progressed Patient’s Liver Condition Using Machine Learning -- Energy Performance Prediction of Residential Buildings Using Non-Linear Machine Learning Technique -- Prioritizing Python Code Smells for Efficient Refactoring Using Multi-Criteria Decision-Making Approach.
    Abstract: This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications. .
    DOI: 10.1007/978-981-16-2594-7
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    A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030766535
    Language: English
    Pages: 1 Online-Ressource(XVI, 461 p. 219 illus., 143 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 210
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    Keywords: Computational intelligence. ; Computer engineering. ; Internet of things. ; Embedded computer systems. ; Engineering—Data processing. ; Artificial intelligence.
    Abstract: IoT for better Mobile Health Applications -- Energy Efficient hybrid IoT System for ambient Living: Smart Geyser -- Analysis of Agriculture Production and Impacts of Climate Change in South Asian Region: A Concern related with Healthcare 4.0 Using ML and Sensors -- Block Chain Application in Automobile Registration: A novel Approach for Sustainable Smart Cities with Industry 4.0 -- Nonparametric Test for Change-Point Detection of IoT Time-Series Data. .
    Abstract: This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry.
    DOI: 10.1007/978-3-030-76653-5
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    Virtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030941024
    Language: English
    Pages: 1 Online-Ressource(XIV, 174 p. 58 illus., 49 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Systems, Decision and Control 412
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    Keywords: Computational intelligence. ; Automotive engineering. ; Artificial intelligence.
    Abstract: Automotive Collision Avoidance System: A Review -- Autonomous vehicle assisted by heads up display (HUD) with augmented reality based on Machine learning techniques -- Optimal Stacked Sparse Autoencoder based Traffic Flow Prediction in Intelligent Transportation Systems -- Hand Gesture Recognition for Real-Time Game Play using Background Elimination and Deep Convolution Neural Network.
    Abstract: This book presents the augmented reality (AR) and virtual reality (VR) automotive applications. It unites automobile with a leading technology i.e. augmented and virtual reality and uses the advantages of the latter to solve the problems faced by the former. The book highlights the reasons for the growing abundance and complexity in this sector. Virtual and augmented reality presents a powerful engineering tool that finds application in various engineering fields. It brings new possibilities that result is increasing of productivity and reliability of production, quality of products and processes. The book further illustrates the possible challenges in its applications and suggests ways to overcome them. The book includes nine chapters focusing on automobile collision avoidance, self-driving cars, autonomous vehicles, navigation systems, and many more applications. .
    DOI: 10.1007/978-3-030-94102-4
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    Biomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI) (2022)
    Singapore : Springer Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811914768
    Language: English
    Pages: 1 Online-Ressource(XV, 137 p. 73 illus., 63 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 222
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Image processing—Digital techniques. ; Computer vision. ; Biomedical engineering.
    Abstract: Optimal Boosting Label Weighting Extreme Learning Machine for Mental Disorder Prediction and Classification -- Modeling of Explainable Artificial Intelligence with Correlation based Feature Selection Approach for Biomedical Data Analysis -- Explainable machine learning model for diagnosis of Parkinson disorder -- Explainable Artificial Intelligence with Metaheuristic Feature Selection Technique for Biomedical Data Classification -- Explainable AI in Neural Networks using Shapley Values -- Design of Multimodal Fusion based Deep Learning Approach for COVID-19 Diagnosis using Chest X-Ray Images.
    Abstract: The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.
    DOI: 10.1007/978-981-19-1476-8
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    Innovation in Medicine and Healthcare : Proceedings of 10th KES-InMed 2022 (2022)
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Details
    ISBN: 9789811934407
    Language: English
    Pages: 1 Online-Ressource(XVI, 314 p. 106 illus., 93 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Smart Innovation, Systems and Technologies 308
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    Keywords: Computational intelligence. ; Medical informatics. ; Artificial intelligence.
    Abstract: 3D Convolutional Neural Network for Covid Assessment on CT Scans -- Prediction Models for COVID-19 in Children -- Society 5.0 as Digital Strategy for Scalability: Tamba's COVID-19 Vaccination Management System and its Expansion -- Analysis of Ensemble Learning for Chest X-Ray Images -- Adaptive Multi-Omics Survival Analysis in Cancer -- Risk Analysis of Developing Lifestyle-related Diseases based on the Content of Social Networking Service Posts -- Digital Twin in Healthcare through the Eyes of the Vitruvian Man -- Relationship between Mental Health, Life Skills and Life Satisfaction among Japanese Athletes -- IT Assisted Gardening for the Revitalization of the Elderly: The Turntable Solution -- Mental Health of the Elderly: Towards a Proposal for a Social Simulator based on the Complexity Approach.
    Abstract: This book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-22), held in Rhodes, Greece, on June 20–22, 2022. Covering a number of key areas, including digital IT architecture in health care; advanced ICT for medicine and health care; biomedical engineering, trends, research, and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists, and anyone wishing to gain an overview of the latest research in these fields.
    DOI: 10.1007/978-981-19-3440-7
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    Creating Markets in Fiji : Overview and Summary of Key Findings from Sector Deep Dives - Country Private Sector Diagnostic (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Adaptation To Climate Change ; Business Environment ; COVID-19 ; Environment ; Private Sector ; Private Sector Development ; Private Sector Economics ; Resilience
    Abstract: This Country Private Sector Diagnostic (CPSD) comes at a challenging yet opportune juncture for Fiji to rebuild a more diverse and resilient economy amid the lingering impacts of COVID-19. Fiji recorded its strongest period of gross domestic product (GDP) growth (since achieving independence in 1970) in the decade leading up to COVID-19, underpinned by rising productivity and investment, improved political stability, and a booming tourism sector. However, the shocks of COVID-19 and a series of natural disasters, Tropical Cyclone (TC) Harold and TC Yasa, have been devastating for Fiji's economy, bringing widespread production disruptions and job losses. The increasing frequency of these weather events has also complicated Fiji's economic development strategy and plans. Fiji's real GDP declined by 15.2 percent in 2020 and is estimated to have contracted a further 4.0 percent in 2021, with the long-term ramifications of the COVID-19 pandemic on the economy yet to be fully seen. These shocks have also exacerbated some of Fiji's long-standing structural vulnerabilities, including the economy being vulnerable to repeated climate-related shocks, its lack of sectoral diversification, and sluggish private sector job growth (particularly among youth and women). In this context, the CPSD approach for Fiji to 'build back better' revolves around four key interrelated pillars: (1) unlocking new sectoral sources of growth beyond tourism; (2) strengthening economic and climate resilience; (3) leveraging Fiji's potential as an economic hub in the Pacific region; and (4) creating inclusive employment opportunities
    DOI: 10.1596/37867
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    Creating Markets in Mali : Mobilizing the Private Sector for Economic Resilience and Recovery - Country Private Sector Diagnostic (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Access To Finance ; Agribusiness ; Agriculture ; Business Environment ; COVID-19 ; Emerging Markets ; Energy Sector ; Livestock ; Private Sector ; Private Sector Development ; Private Sector Economics ; Special Economic Zones
    Abstract: Until the onset of the coronavirus disease 2019 (SARS-CoV2) COVID-19 pandemic and despite the deteriorating security situation, Mali's economic growth averaged five percent since 2014, on par with its long-term potential. Mali's fragile state status has also taken a toll on economic activity and social welfare by reducing access to markets, threatening food security, and degrading human capital indicators. With an increasing debt burden resulting in limited fiscal space to address persistent security risks and to combat the COVID-19 pandemic, the government of Mali is compelled to refocus the role of the state and unleash the potential of the private sector to boost productivity growth, to diversify the economy away from a narrow base, and to ensure inclusive economic and social welfare for all Malians. The growth model will be readdressed around energizing investment, creating resilient markets, and building back better for a more resilient recovery via (a) improving the business environment; (b) crowding-in private participation in the delivery of infrastructure and certain public services; (c) ensuring that remaining state-owned enterprises and private firms compete on equal terms - that is, upholding competitive neutrality principles; (d) expanding public-private partnerships in key sectors, through transparent and competitive procurement; and (e) leveraging digital solutions by further enhancing digital infrastructure that would, in turn, increase the uptake of digital financial services and digital platforms for key sectors of the economy, such as agriculture, and digitize government services (e-government)
    DOI: 10.1596/37862
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    Creating Markets in Botswana - A Diamond in the Rough : Toward a New Strategy for Diversification and Private Sector Growth - Country Private Sector Diagnostic (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Business Environment ; Climate Change ; Climate Change Economics ; COVID-19 ; Economic Growth ; Energy ; Macroeconomics and Economic Growth ; Poverty Reduction ; Private Sector Development ; Private Sector Economics ; Water
    Abstract: Diamonds have been at the center of Botswana's growth miracle for decade - but the urgency to diversify is stronger than ever. Although Botswana's economy has undergone transformation over the past decades, the shift has been largely into non-tradable services, with limited gains in employment, income equality, and export diversification. In addition, Botswana's high vulnerability to climate change, which affects all major sectors of the economy, underscores the need to strengthen Botswana's response to climate factors as a basis for renewed, sustainable growth. A positive growth outlook and steps taken as part of the Coronavirus disease 2019 (COVID-19) crisis response should give the government new impetus to accelerate reforms. Success in diversifying the economy will depend on the decisive implementation of structural measures to increase private sector participation in nonmineral exports and transformative sectors. The dominant role that the government of Botswana still plays in large parts of the economy, particularly through its footprint as a shareholder in companies in the corporate sector, is a critical constraint that inhibits the entry and success of private sector participants. Gaps in infrastructure, access to finance, and skills are additional key constraints to employment and productivity growth. A coordinated approach to financing entrepreneurship and policies to increase uptake of digital finance can help close the gap. Trade barriers are another key cross-cutting constraint for the private sector, and a greener path for the economy can be unlocked by facilitating improved trade in environmental goods and services (EGS). Three key recommendations for the energy sector are as follows. The first recommendation is the fast tracking of instruments to facilitate investment in energy infrastructure development, including independent power producer (IPP) licensing, and procurement guidelines and processes. The second recommendation is the enhancement of the institutional capacity and governance model of the Botswana Energy Regulatory Authority (BERA). The third recommendation is the development of credit-enhancement and risk-mitigation strategies and supporting instruments to attract and mobilize private sector investment
    DOI: 10.1596/37881
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    Realizing Sustainability Through Diversity : The Case for Gender Diversity Among Sri Lanka's Business Leadership (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Women in Development and Gender Study
    Keywords: Decision Making ; Gender ; Gender and Economics ; Sustainability
    Abstract: This report makes the case for greater gender diversity on Sri Lanka's corporate boards and in senior management by highlighting the value propositions of such diversity for companies, communities, and ultimately the country. Diversity is about more than just gender, ethnicity, or religion. However, this report focuses primarily on promoting gender diversity in the workplace, particularly in the corporate boardroom and among senior management. Empirical evidence from around the world shows the importance and value of gender diversity in improving firms' overall performance, including but not limited to financial performance. Gender diversity among business leaders typically leads to better decision-making processes and better monitoring and strategy involvement. The business case for gender balance at the top goes beyond financial performance. Extensive research shows that having more women in business leadership positions leads to higher environmental, social, and governance standards, with a particularly clear connection when women achieve a critical mass of about 30 percent on company boards. Companies with enhanced environmental, social, and governance standards also perform better on critical metrics: stronger internal controls and management oversight, reduced risk of fraud or other ethical violations, positive workplace environment, greater stakeholder engagement, and improved reputation and brand. Therefore, having a more gender-balanced board and leadership team contributes to stronger environmental, social, and governance performance, which, in turn, leads to better business performance. Ultimately, diversity is about ensuring companies' competitiveness, performance, and long-term sustainability
    DOI: 10.1596/37866
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    Creating Markets in Uganda : Growth through the Private Sector and Trade - Country Private Sector Diagnostic (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Agribusiness and Markets ; Business Environment ; Business in Development ; Global Value Chains and Business Clustering ; Private Sector Development ; Rural Development
    Abstract: This Country Private Sector Diagnostic (CPSD) investigates the potential for greater private sector investment to meet some of Uganda's development challenges. At least 600,000 Ugandans enter the labor market every year, making for a workforce that is increasingly younger and urban based. To address the country's simultaneous productivity and job challenge requires a focus on growth in sectors that can leverage demand from abroad, are labor intensive, and low skilled. Three sectors hold promise in this regard: agribusiness, which is important for productivity, employment, and export growth; energy as an enabler of overall productivity; and housing because of its role in fueling growth in the labor-intensive construction sector and alleviating the demographic pressures that rapid urbanization puts on Ugandan cities. Within the agribusiness sector, the CPSD considers three of the most promising value chains-fish, dairy, and maize-and undertakes a more disaggregated assessment of the environment for private investment
    DOI: 10.1596/37857
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    Creating Markets in Albania : Taking Advantage of New Trade and Investment Opportunities for a More Robust Private Sector - Country Private Sector Diagnostic (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Agribusiness ; Business Environment ; Emerging Markets ; Innovation ; Private Sector ; Private Sector Development ; Private Sector Economics
    Abstract: Despite a challenging transition period and a string of adverse shocks, in recent decades Albania has made major strides in raising per capita income and integrating into the world economy. A dynamic private sector has become the engine of Albania's economic development, and its increasing role continues to offer opportunities for expanding the country's economic base and promoting faster and more diversified export-oriented growth. Albania is endowed with considerable economic assets, including a strategic geographical position, exceptional natural beauty, and abundant renewable and nonrenewable resources. A politically stable environment, improving governance indicators, and a record of dependable macroeconomic policies have supported the process of European Union (EU) accession, which offers a wide array of opportunities for the development of the Albanian private sector. Because a small domestic labor pool and consumer market limit the potential for economies of scale, sustaining Albania's economic expansion will require intensifying its integration with the global economy. Despite decades of progress, Albania continues to face serious structural and policy challenges. The country's economic expansion has not been matched by commensurate improvements in productivity. In this context, the World Bank Group has prepared the following country private sector diagnostic (CPSD) to assist the authorities in their efforts to leverage Albania's geographic location, natural assets, and improved institutional and policy framework to promote diversification, competitiveness, and robust private-sector-led growth. The analysis highlights the importance of improving the business environment while stepping up investments in technology and innovation. The report explores three critical sectors for accelerating and diversifying growth: agribusiness and food processing, tourism, and automotive manufacturing
    DOI: 10.1596/37868
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    Creating Markets In Honduras : Fostering Private Sector Development for a Resilient and Inclusive Economy - Country Private Sector Diagnostic (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Business in Development ; Gender ; Gender and Economic Policy ; Governance ; Private Sector Development ; Private Sector Economics ; Unemployment
    Abstract: Honduras has significant investment potential, with ample productive resources, a solid industrial base, a market-oriented reform agenda, a strategic location with access to many international markets, and a growing labor force. The country's young and growing population is yielding a demographic dividend, which presents new opportunities for economic growth and diversification, especially in the service sectors such as business-process outsourcing (BPO) and in development of digital financial services (DFS). Honduras's rich endowment of resources and improving business climate have attracted rising levels of private investment, and the country achieved the second highest tradeto-GDP ratio in the Latin America and the Caribbean region prior to COVID-19 crisis. However, large-scale investment and trade have yet to generate rapid economic growth and robust poverty reduction. The public and private sectors will both play vital roles in Honduras's economic recovery. Ongoing targeted support will be necessary to address the health and humanitarian consequences of the pandemic, mitigate the resulting increase in poverty and inequality, and support the resumption of economic activity. This Country Private Sector Diagnostic (CPSD) is designed to help guide Honduras's private sector development agenda in this challenging and rapidly evolving context
    DOI: 10.1596/37871
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    Business Case for Creating Respectful Workspaces in Sri Lanka (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Law and Development ; Social Conflict and Violence ; Social Development ; Social Protections and Labor ; Work and Working Conditions
    Abstract: Workplace violence and harassment is pervasive, and it affects all countries, occupations, and work arrangements. This problem comprises a range of unacceptable behaviors that result in, or threaten physical, psychological, sexual, or economic harm, including gender-based violence and harassment. Between 2020 and 2022, the International Finance Corporation (IFC) conducted a study to better understand the prevalence and impact of violence and harassment on employees and businesses in Sri Lanka. This research covered workplace experiences and behaviors, and how these affect employees. The findings presented in this report will be used to develop tools and resources to help companies prevent and address violence and harassment connected with the workplace. The findings demonstrate the importance of employers' measures to address workplace violence and harassment, including through implementing measures that are consistent with International Labour Organization Convention 190 on Violence and Harassment
    DOI: 10.1596/38338
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    Creating Markets in Eswatini : Strengthening the Private Sector to Grow Export Markets and Create Jobs - Country Private Sector Diagnostic (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Beef ; Business Environment ; Forestry ; Private Investment ; Private Sector ; Private Sector Development ; Private Sector Economics ; Rural Development ; Small and Medium Size Enterprises ; Sugar ; Trade Facilitation
    Abstract: Eswatini is facing multiple challenges. It was already experiencing weak economic growth before the COVID-19 pandemic, a reflection of longstanding, deeply rooted issues such as fiscal unsustainability, declining private investment, weakening productivity and competitiveness, and falling export diversification and complexity, compounded by the impact of climate shocks. It shifted from a private investment-led higher-growth model to a government spending-led lower-growth model after the end of apartheid in South Africa. With weak investment in productive sectors, Eswatini's job market failed to keep pace with an expanding, younger labor force, leading to a large informal sector. Eswatini's public sector-driven growth model is unsustainable under current fiscally constrained conditions, and there is a need to reduce and reprioritize public spending. An assessment of existing sectoral data and consultations with Eswatini's private sector and policy makers suggest that four sectors can help drive the export-led private sector growth model. To return to an export-led growth model, Eswatini needs to increase export competitiveness by advancing regulatory reforms and improvements in trade logistics that include regional collaboration to address trade facilitation constraints. Finally, given the country's vulnerability to climate risks, policies to foster economic resilience amid extreme weather events (mainly droughts that affect agriculture) and improve disaster preparedness need to be pursued. The private sector must adapt to this challenge and work with the government to improve climate resilience
    DOI: 10.1596/38335
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    Creating Markets in Sri Lanka : Private Sector-Led Inclusive Growth from Islands of Excellence: Country Private Sector Diagnostic (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Agribusiness ; Agricultural Sector Economics ; Agriculture ; Covid-19 ; General Manufacturing ; Industry ; Information and Communication Technologies ; Information Technology ; Private Sector Development ; Private Sector Economics
    Abstract: Sri Lanka is a country of paradoxes. With the lowest poverty rates, best social indicators, and highest per capita income in South Asia, Sri Lanka's economic performance since independence had generally been hailed as a success before the current debt crisis. However, past performance occurred amidst many distortions and an economy less open than its peers, largely reflecting the strong involvement of the state in the economy. Even if this interventionist model of economic policy and the presence of many state-owned enterprises (SOEs) served the country well through the years of conflict and their aftermath, it is no longer sustainable. Indeed, after the rapid growth of the peace dividend in the years post-2009, the economy has faltered and progress on social indicators has stagnated. Many of market distortions remain and have been exacerbated by COVID-19. Understanding how, despite these handicaps, Sri Lanka achieved positive economic and social outcomes in the past provides the building blocks of a realistic, forward-looking growth strategy, one of the objectives of this Country Private Sector Diagnostic (CPSD). The research for this report was conducted prior to the current crisis, but the recommendations remain relevant to implementing public policies that will support private sector-led inclusive and sustainable growth
    DOI: 10.1596/37839
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    The Business Case for Gender-Responsive Climate-Smart Mining (2022)
    Washington, D.C : The World Bank
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    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Women in Development and Gender Study
    Keywords: Energy ; Gender ; Gender and Economics ; Industry ; Social Aspects of Climate Change ; Social Development
    Abstract: Transitioning to a low-carbon economy is critical to the sustainability of the planet. A recent World Bank report found that increasing demand for clean energy technologies can increase demand for minerals such as graphite, lithium, and cobalt by nearly 500 percent by 2050. Even though the authors expect recycling rates to go up in the future, mining will still be required to supply critical minerals: the shift to a low-carbon future will be mineral-intensive, and mining will remain a critical industry. It is in this context that the World Bank Group established the climate-smart mining initiative (CSM), which is sustained by a partnership between industry and country governments. The initiative supports the sustainable extraction, processing, and recycling of the minerals and metals that are needed for low-carbon technologies. The concept is built upon four pillars: (i) climate mitigation; (ii) climate adaptation; (iii) reducing material impacts; and (iv) creating market opportunities
    DOI: 10.1596/37875
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    Creating Markets in Chile : A Stronger Private Sector for a More Productive and Inclusive Society - Country Private Sector Diagnostic (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Foreign Trade Promotion and Regulation ; Free Trade ; Private Sector Development ; Productivity ; Science and Technology Development ; Trade
    Abstract: Chile has long had a strong private sector that has enjoyed an accommodating and supportive policy environment. The imperative of building a green, knowledge-based, inclusive economy will inevitably continue to rely on the private sector playing a potent role as a partner in development. In an environment constrained by lower growth and productivity, Chileans are demanding access to better opportunities and improved services. The current constitutional process is an opportunity to set the stage for the private sector to be a stronger partner in building a more inclusive society and an innovative, productive, and greener economy. For this to happen, this country private sector diagnostic (CPSD) argues that three avenues will be essential: enhancing productivity, building a knowledge-based economy through more support to innovation, and upgrading skills for greater inclusion and innovation
    DOI: 10.1596/37872
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    Creating Markets In Namibia : Creating Resilient and Inclusive Markets - Country Private Sector Diagnostic (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Agribusiness ; Agriculture ; Energy ; Finance and Financial Sector Development ; Housing Finance ; Private Investment ; Private Sector ; Private Sector Development ; Private Sector Economics ; Renewable Energy
    Abstract: Since achieving independence in 1990, Namibia's remarkable growth has been fueled by foreign direct investment and enabled by prudent economic management. Since 2016, however, growth has declined steadily and the economy fell into recession, exposing the vulnerability of Namibia's economic growth model to external and climate shocks. These challenges were exacerbated by the Coronavirus (COVID-19) pandemic, an economic slowdown in neighboring South Africa, worsening terms of trade on the back of declining global demand and commodity prices, a decline in Southern African Customs Union (SACU) revenues, and the effects of crippling droughts on agricultural and industrial production. Namibia has very high levels of poverty and inequality, which are largely driven by high levels of unemployment. The primary objective of this Country Private Sector Diagnostic (CPSD) is to identify near and medium-term reform opportunities to revitalize the private sector and help reposition Namibia's growth on a green, resilient, and inclusive trajectory. This CPSD explores priority reform opportunities to address five cross-cutting bottlenecks: (1) enhancing the role and performance of the state-owned enterprise (SOE) sector through a more effective competition policy environment; (2) strengthening implementation of the public-private partnership (PPP) framework to expand private investments, especially in infrastructure; (3) leveraging the potential for digital transformation of the economy; (4) addressing inefficiencies in logistics and trade facilitation; and (5) tapping opportunities in the water sector for green and resilient growth. The diagnostic then looks in depth at three sectors prioritized by the Namibian government - renewable energy, climate-smart agribusiness, and housing, and provides recommendations for reducing sector-specific bottlenecks to stimulate growth potential
    DOI: 10.1596/38334
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    Energy Sector Baseline Study in the Kakuma-Kalobeyei Refugee-Hosting Area in Kenya (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Energy Study
    Keywords: Energy ; Energy Consumption ; Energy Demand ; Energy Finance ; Energy Markets ; Energy Sector
    Abstract: Kakuma as a marketplace, a 2018 consumer and market study of Kakuma refugee camp in northwest Kenya, estimates that Kakuma camp and its hosting community have 2,100 refugee-owned businesses and are worth 56 million dollars based on household consumption. This study provides information for businesses in the energy sector to help them assess opportunities for providing or expanding energy services in the Kakuma and Kalobeyei areas; it also provides insights to inform International Finance Corporation (IFC) interventions. The study maps the supply of and demand for energy for lighting, cooking, and productive use among households and businesses in the camp and examines the regulatory environment affecting the energy sector
    DOI: 10.1596/37863
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    Handbook for Scaling Irrigation Systems (2022)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Agricultural Study
    Keywords: Access To Finance ; Agricultural Irrigation and Drainage ; Agriculture ; Asset Management ; Finance and Financial Sector Development ; Financial Structures
    Abstract: The demand for more efficient use of land and water resources to enable farmers to produce food using climate-resilient processes continues to grow in the face of a growing global population and the impacts of climate change and other shocks such as Coronavirus (COVID-19). Although irrigation has been widely promoted as important for productivity and resilience, it has not been sufficiently expanded. Large, well-established irrigation projects developed by public institutions and select private sector projects play an important role in providing access to irrigation, but they are insufficient to meet need. In parallel, farmers have been developing effective small-scale irrigation (SSI) options that include a range of technologies, financing methods, and operating models. International Finance Corporation (IFC) and the International Fund for Agricultural Development (IFAD) are global organizations focused on promoting resilient agriculture and food system transformation. This handbook takes a practical approach in guiding its target readers, which comprise policy makers, governments and government agencies, private sector actors, and development institution partners, on how to deliver effective design and operation strategies, combined with financing models, to implement and sustainably expand use of irrigation
    DOI: 10.1596/38336
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    Using Blended Concessional Finance to Invest in Challenging Markets : Economic Considerations, Transparency, Governance, and Lessons of Experience (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Finance and Development ; Finance and Financial Sector Development ; Non Bank Financial Institutions ; Private Investment ; Transparency
    Abstract: Blended concessional finance is the combination of concessional funds from development partners with commercial finance from development finance institutions (DFIs) and private sources. These resources can be used strategically to help mitigate risk in challenging emerging markets and attract private investment where it otherwise would not go. It can be an important source of finance to help reach the Sustainable Development Goals (SDGs) and address the economic challenges brought on by Coronavirus (COVID-19). This report examines IFC's two decades of experience supporting pioneering projects with blended concessional finance. The report addresses issues such as why and when concessional finance is appropriate to support private sector projects; the key transparency, access, and governance processes required to implement projects efficiently and effectively; the principles for selecting and structuring projects; how to use blended concessional finance to invest in lower-income countries; and the different ways of structuring concessional finance facilities used by DFIs
    DOI: 10.1596/36262
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    Gender Equality in Nigeria's Private Sector : A Gender Gap Assessment of the 30 Most Capitalized Companies Listed on the Nigerian Exchange (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Women in Development and Gender Study
    Keywords: Access To Finance ; Finance and Financial Sector Development ; Gender ; Gender and Economic Policy ; Gender Monitoring and Evaluation ; Macroeconomics and Economic Growth ; Private Sector Development
    Abstract: Nigeria is the largest economy in Africa, and it is projected to have the fifth largest population in the world by 2026. The gender gap is particularly acute in Nigeria, and three market failures stand out: (1) a persistent gender gap at the company leadership level; (2) lack of access to finance for women who want to start a business; and (3) women's limited access to markets through supply chains and procurement opportunities. The International Finance Corporation (IFC) and Nigerian Exchange Limited (NGX) have joined forces to rally some of the largest Nigerian companies to increase women's participation in private sector development. Through the Nigeria2Equal initiative, IFC is working with the chief executive officers (CEOs) of companies listed on NGX that are committed to implementing gender-smart solutions to reduce gender gaps across leadership, employment, and entrepreneurship. Through the Nigeria2Equal initiative, IFC is working with the chief executive officers (CEOs) of companies listed on NGX that are committed to implementing gender-smart solutions to reduce gender gaps across leadership, employment, and entrepreneurship. By conducting market research and publishing studies such as this report, IFC is establishing the business case for the private sector to invest in women in Nigeria, and are helping companies to identify gaps and constraints, and invest in reducing those gaps
    DOI: 10.1596/37860
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    Investing in Sustainable Access to Communications : The Role of Telecom Energy Services Companies (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Investment Climate Assessment
    Keywords: Information and Communication Technologies ; Macroeconomics and Economic Growth ; Telecommunications
    Abstract: The expansion of telecommunications services to unserved and underserved areas is key to reduce the digital connectivity gap. In order to do so, it is important to explore innovative and cost-efficient technologies and business models. Telecom Energy Services Company (TESCOs) offer solutions for powering and managing telecom companies' networks in off-grid and bad-grid areas in chapter one. International Finance Corporation (IFC) is seeking to contribute to the growth and development of innovative solution providers for telecom sites located in areas with little to no access to electricity by providing insights into the growth perspectives of the TESCO market globally in chapters two and three. IFC presents a market segmentation framework based on current business models in chapter four. The report then examines the typical commercial arrangements and key drivers which influence the bankability of TESCOs in chapter five. IFC also estimates the total amount of financing needed in order to address the pressing need for connectivity in unserved and underserved areas and acts as a call to action to stakeholders in the industry and in the financing community to work towards bridging this important connectivity gap. The five sections covered in this report represent the key dimensions required to assess the investment opportunity for TESCOs
    DOI: 10.1596/37852
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    Sourcing2Equal Kenya : Barriers and Approaches to Increase Access to Markets for Women-Owned Businesses (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Women in Development and Gender Study
    Keywords: Gender ; Gender and Economic Policy ; Macroeconomics and Economic Growth ; Private Sector Development ; Small and Medium Size Enterprises
    Abstract: Small and medium enterprises (SMEs) make up a large part of Kenya's economy, accounting for approximately 98 percent of all businesses. SMEs are found in all sectors of the economy, they are estimated to contribute about 80 percent of total employment in Kenya, and they play a central role in Kenya's economic growth. Women's ownership of formal SMEs is low, comprising only about one third of registered SMEs. Women-owned and led SMEs (WSMEs) face structural barriers in growing their businesses due to their limited access to: finance, business networks and connections, and market information. Consequently, these barriers limit WSMEs' ability to access new markets, such as procurement contracts with private sector Buyers. In 2020, IFC established Sourcing2Equal, a global program that aims to connect 5,000 WSMEs to private procurement opportunities by 2023. The first project under the program is in Kenya. This report examines the barriers that Kenyan SMEs face in accessing private procurement contracts, and if there are differences based on whether companies are owned by women, men, or owned jointly by women and men. Analysis of survey data from 571 SMEs, and interviews with 14 corporate Buyers in Kenya, provide unique data on gender gaps in the participation of SMEs in corporate supply chains, and it reveals emerging practices that are aiming to increase the procurement of goods and services from WSMEs. The sample of formally registered SMEs was selected from a defined population in business membership organizations' databases, rather than from a national census dataset. Due to the potential risk of homogeneity in the sample, the statistically significant results of this study should not be assumed to be representative of the whole SME population
    DOI: 10.1596/37853
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    Small Business, Big Growth : How investing in SMEs creates jobs (2021)
    Washington, D.C : The World Bank
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    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Financial Sector Study
    Keywords: Access To Finance ; Employment and Unemployment ; Job Creation ; Poverty Reduction ; Private Sector Development ; Small and Medium Size Enterprises ; Social Protections and Labor
    Abstract: This report presents an updated methodology to estimate the number of SME jobs created as a result of SME loans.5 It analyzes job multipliers across developing countries through a firm-level regression of annual employment change on loan size. Put simply, the framework presented here analyzes the relationship between the size of loans to SMEs and the jobs these enterprises create. This methodology builds on previous papers that found an association between access to finance and job growth, including Ayyagari and others (2016),6 and draws on data from the World Bank Enterprise Survey (ES) and IFC's own "tracer surveys" to develop a new SME jobs multiplier that would allow for the estimation of job creation effects that correlate with SME loan size.7 The use of tracer surveys has enabled IFC to analyze how the SME customers of a particular IFC partner financial institution have benefited from greater access to finance and generated positive developmental impacts such as greater SME growth, productivity, and female ownership
    DOI: 10.1596/37842
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    Country Partnership Framework for the Republic of South Africa for the Period FY22-FY26 (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Country Partnership Frameworks
    Abstract: South Africa was hard-hit by the Coronavirus Disease 2019 (COVID-19) pandemic. The social impact of the crisis has also been high. Since 2019, the Government of South Africa (GoSA) has embarked on a new socio-economic transformation program. This crisis has forced the Government to make difficult policy choices to restore macroeconomic stability, deal with the health and socioeconomic crisis, accelerate growth and make it more inclusive. In line with the Government priorities and those presented in the SCD, the central tenet of this Country Partnership Framework (CPF) is to help South Africa continue to tackle its Apartheid legacy of socio-economic exclusion, currently complicated by the COVID-19 pandemic. The CPF's overarching goal is to support SA in stimulating investment and job creation to achieve economic and social convergence for an inclusive and resilient society
    DOI: 10.1596/36027
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    Artificial Intelligence in Emerging Markets : Opportunities, Trends, and Emerging Business Models (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Artificial Intelligence ; ICT Applications ; ICT Policy and Strategies ; Information and Communication Technologies ; Science and Technology Development ; Technology Innovation
    Abstract: Artificial intelligence (AI) - the science of making machines act in rational, intelligent ways is rapidly making inroads into business operations and society. AI is already being applied in many areas of our lives, with high penetration in financial services followed by e-commerce, healthcare, education, agriculture, and manufacturing. Emerging markets can benefit significantly from AI: Its applications are providing new ways to leapfrog infrastructure gaps and solve pressing development challenges in critical sectors. This report explores the latest AI applications and trends in emerging markets and includes several examples of how AI is expanding opportunities and contributing to the achievement of the Sustainable Development Goals. It also sheds light on how investors, clients, and governments can harness its full potential while minimizing its risks, when managed effectively and with safeguards in place, AI can facilitate private investment to reduce poverty and improve lives at a pace inconceivable only a decade ago
    DOI: 10.1596/36264
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    Women and E-commerce in Southeast Asia (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Women in Development and Gender Study
    Keywords: E-Commerce ; Gender ; Private Sector Development
    Abstract: The rapid digital transformation underway in Southeast Asia has the potential to have an equally transformative impact on women entrepreneurs. Although Southeast Asia boasts a higher incidence of women entrepreneurs compared to men, women-owned (WO) businesses tend to be smaller, have lower average sales, and have fewer employees. advances in disruptive technologies do not always translate into advances in gender equality, and to date there is limited research that has addressed women's participation or success on e-commerce platforms. This report seeks to close this knowledge gap with the first large-scale, sex-disaggregated analysis of e-commerce sellers in Southeast Asia and to shed light on the following key questions: (1) how are women entrepreneurs participating and performing in e-commerce?; (2) what are the opportunities and challenges for women entrepreneurs selling on e-commerce platforms?; and (3) is there a business case for e-commerce platforms to invest in women entrepreneurs? To answer these questions, the research team conducted in-depth interviews with sellers, as well as global and regional e-commerce experts; undertook surveys of representative samples of men and women sellers in Indonesia and the Philippines; and conducted an analysis of data from Lazada, one of the region's largest e-commerce platforms
    DOI: 10.1596/37837
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    Women and E-commerce in Africa (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Women in Development and Gender Study
    Keywords: E-Commerce ; Gender ; Private Sector Development
    Abstract: The rapid digital transformation underway in Africa has the potential to have an equally transformative impact on women entrepreneurs. Although Africa boasts a higher incidence of women entrepreneurs compared to men, women-owned (WO) businesses across the continent tend to be smaller, have lower average sales, and have fewer employees. The exponential growth of e-commerce in Africa presents an opportunity to close gender gaps by opening more markets to WO enterprises. Advances in disruptive technologies do not always translate into advances in gender equality, and to date, there is limited research that has investigated women's participation or their success on e-commerce platforms. This report seeks to address this knowledge gap with the first large-scale, sex-disaggregated analysis of e-commerce sellers in Africa and to shed light on the following key questions: (1) how are women entrepreneurs participating and performing in e-commerce?; (2) what are the opportunities and challenges for women entrepreneurs selling on e-commerce platforms?; and (3) is there a business case for e-commerce platforms to invest in women entrepreneurs? To answer these questions, the research team conducted in-depth interviews with sellers, as well as global and regional e-commerce experts; undertook surveys of representative samples of men and women sellers in Cote d'Ivoire, Kenya, and Nigeria; and conducted an analysis of data from Jumia, one of the region's largest e-commerce platforms
    DOI: 10.1596/37836
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    Creating Markets in Jordan : Volume II, Sector Assessments - Country Private Sector Diagnostic (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Accommodation and Tourism Industry ; Emerging Markets ; Equity and Development ; Industry ; Information and Communication Technologies ; Poverty Reduction ; Private Sector Development ; Transport
    Abstract: The Jordan Country Private Sector Diagnostic (CPSD) is a joint International Finance Corporation (IFC)-World Bank report that highlights the constraints as well as the opportunities facing the private sector in Jordan. It considers three sectors-tourism, logistics, and information and communication technology (ICT) - and the potential they offer for greater private sector contributions to the Jordanian economy, as well as the obstacles that they face from general or sector-specific policies and regulations. The CPSD also offers concrete recommendations to address some of these constraints. Although this report was largely prepared prior to the COVID-19 outbreak, its analysis and recommendations remain as, if not more, valid in the context of the pandemic and of an eventual recovery. A dynamic and resilient private sector is necessary if Jordan is to break the low-growth, high-unemployment trajectory it finds itself in today. The CPSD argues that tackling some of the major obstacles facing the private sector is essential to firm performance, investment, and productivity. These actions are as critical in times of crisis and especially afterwards to pave the way for a vigorous and sustainable recovery. Similarly, the sectors assessed by the CPSD continue to hold promise for the country. The pandemic has underscored the important role that digitalization, a strong ICT infrastructure, and supportive services have in creating a resilient economy and business continuity. E-commerce and logistics capabilities and services are an area put forward by the CPSD as an opportunity for Jordan in the coming years; they have boomed during the current crisis and are expected to be one of the post-pandemic growth sectors. Conversely, tourism, which had been experiencing a strong rebound in Jordan over the past few years, is one of the sectors hardest hit across the globe by the COVID-19 crisis. In Jordan the sector accounts for about 19.2 percent of gross domestic product and 32 percent of exports. Crafting a strategy that effectively addresses the many obstacles that prevent the tourism sector from attaining its potential is a necessary investment for a strong recovery - and a good use of what is likely to be a transitional period until travel re-commences
    DOI: 10.1596/37877
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    She Matters : Women in Kazakhstan Corporate Leadership (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Women in Development and Gender Study
    Keywords: Finance and Development ; Finance and Financial Sector Development ; Gender ; Gender and Economics
    Abstract: This report makes a case for greater gender diversity on Kazakhstan corporate boards (including the board of directors and management board). Empirical evidence from around the world shows the importance and value of gender diversity in improving firms' overall performance, including but not limited to financial performance. Gender diversity among business leaders typically leads to balanced decision-making processes, better monitoring and strategy involvement, and greater attention to environmental, social, and governance (ESG) issues to foster sustainability. This report analyzes the relationship between board gender diversity (defined as having at least 30 percent women on the board of directors) and the financial performance of Kazakhstan joint-stock companies (JSCs). For this purpose, a series of financial and gender indicators were collected from the data of the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan, the Depository of Financial Statements and the Register of State Enterprises and Institutions, Legal Entities with the State Participation in the Authorized Capital of the Ministry of Finance of the Republic of Kazakhstan, Central Securities Depository, et cetera In total, the study includes financial and non-financial information from 788 JSCs between 2017-2019
    DOI: 10.1596/37851
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    Markham/Ramu Agricultural Growth Corridor : A Possible Path of Transformational Agricultural Development (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Agricultural Study
    Keywords: Agribusiness ; Agricultural Sector Economics ; Agriculture ; Macroeconomics and Economic Growth
    Abstract: In recent years, there has been a growing interest in investments from the government, development partners and the private sector in integrated development/growth corridors and other spatial development initiatives, where coordinated investments in transport infrastructure, power, communications and markets are expected to create conditions to unleash Papua New Guinea's undoubted agricultural potential. Growth corridor strategies are increasingly invoked to coordinate public and private investment around strategic backbone infrastructure in developing countries. Investments in soft and hard infrastructure to promote investment in processing zones or out-grower schemes and facilitate multi-stakeholder dialogue aim to overcome coordination failures and bottlenecks related to market linkages or producer-relations to secure supply chains. This paper discusses the model of growth corridors as a tool for inclusive agricultural development in Papua New Guinea. It provides corridor and other spatial development approaches in terms of i) their geographical scope, ii) their objectives and iii) their governance mechanisms, the driving force behind the corridor initiative. Finally, it analyzes the potential and the needs of how the Markham and Ramu valleys can be a role model for an agricultural transformation in Papua New Guinea
    DOI: 10.1596/37864
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    Digital Entrepreneurship and Innovation in Central America (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Infrastructure Study
    Keywords: Information and Communication Technologies ; Information Technology ; Science and Technology Development ; Technology Innovation
    Abstract: Coronavirus disease 2019 (COVID-19) has made the digital revolution more important than ever. A strong entrepreneurial ecosystem is essential for digital revolution. This report assesses entrepreneurship ecosystems in Central America and provides a series of recommendations. The assessment was carried out in four countries of Central America - Costa Rica, El Salvador, Guatemala, and Honduras - and combined a set of analytical instruments. It included an analysis of firm-level micro-data, an analysis of public programs and intermediary organizations to support entrepreneurship, focus groups, and an online survey of more than 2,000 firms on technology use. The findings and the corresponding recommendations also cover challenges that make it difficult for small and medium enterprises (SMEs) to digitalize their operations and for start-ups in general
    DOI: 10.1596/37843
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    Solomon Islands Tourism Investor Guide : A guide to investing in land for tourism development (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Investment Climate Assessment
    Keywords: Accommodation and Tourism Industry ; Environment ; Foreign Direct Investment ; Foreign Trade Promotion and Regulation ; Industry ; Land Tenure ; Tourism and Ecotourism
    Abstract: This Guide is designed to provide information that may be of help to potential tourism investors in navigating the process of investing in land for the purpose of tourism development in Solomon Islands
    DOI: 10.1596/37849
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    Creating Markets in Mozambique : A study conducted by the World Bank Group in partnership with SIDA - Country Private Sector Diagnostic (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Agribusiness ; Business Environment ; Business in Development ; Energy Sector ; Private Sector Development ; Private Sector Economics
    Abstract: The Country Private Sector Diagnostic (CPSD) is a joint IFC-World Bank diagnostic that aims to make concrete recommendations for crowding-in private sector investment and financing in client countries. The CPSD analyzes the country context, including the state of the private sector, and identifies cross-cutting as well as sector-specific opportunities and constraints. The analysis presented in the Mozambique CPSD will feed into various upcoming World Bank Group (WBG) engagement reports for the country, including the IFC country strategy and the WBG Systematic Country Diagnostic (SCD). Similarly, it is expected that the CPSD will be of interest to the government, the private sector, and other development partners. Policy makers in Mozambique can take advantage of the CPSD to undertake reforms for improving the opportunities for private sector investment in priority economic sectors. The CPSD seeks to provide answers to the main development questions for private sector development in Mozambique, including which traded sectors, beyond extractives, have the most potential to drive growth and productive employment, and what reforms are needed to support this change
    DOI: 10.1596/37846
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    Creating Markets in Malawi : The Road to Recovery; Turning Crisis into Economic Opportunity - Country Private Sector Diagnostic (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Agribusiness ; Business Environment ; Business in Development ; Emerging Markets ; Energy Sector ; Private Sector ; Private Sector Development ; Private Sector Economics
    Abstract: Malawi is at a turning point in its political, social, and economic trajectory. Lazarus Chakwera was sworn in as Malawi's sixth president in June 2020. This marked a historic moment: the first time in Africa that an opposition candidate won a presidential election following initial results being overturned. After widespread unrest prior to the election, Malawians, especially the youth, have been demanding greater accountability, an end to corruption, and tangible progress on eradicating persistent poverty levels that exceed 70 percent of the population. The average gross national income (GNI) of a Malawian is the third lowest in the world, just USD 380 as of 2019. The Chakwera administration will need to find a way to unify the country's fractured political landscape and deliver on development promises. On top of these challenges, the new administration must also navigate the ongoing and evolving economic shocks of the COVID-19 pandemic. Gross domestic product (GDP) growth expectations for 2020 have been lowered from 4.8 percent to 0.8 percent. Recent efforts to build fiscal and institutional resilience have helped but need to be strengthened. The pandemic's fallout has weakened the country's macroeconomic foundations, and the overall risk of debt distress is now high. Meanwhile, human capital gains are at risk. Poverty reduction is expected to stagnate, and overall poverty could potentially worsen. The pandemic will likely exacerbate existing inequalities in economic opportunities for women. Women-owned firms, for example, are primarily concentrated in informal agriculture and services, sectors that lack basic social protections to buffer against economic distress. Female farmers, for example, generally have lower access to productive inputs, information, and liquidity than male farmers, so in times of crisis, their farm productivity and food security can be hit harder
    DOI: 10.1596/37847
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    Investing for Impact : The Global Impact Investing Market 2020 (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Capital Markets and Capital Flows ; Corporate Social Responsibility ; Environment ; Finance and Financial Sector Development ; Green Issues ; International Financial Markets ; Mutual Funds ; Non Bank Financial Institutions ; Private Sector Development ; Social Accountability ; Social Development
    Abstract: Impact investing has seen a boost in popularity during the COVID-19 (coronavirus) pandemic due to increased awareness of climate change and social challenges such as unequal access to healthcare and racial and gender inequality. In 2020, the market saw an increasing level of maturity compared to 2019 with more assets being invested with identifiable impact management systems. This report covers impact investments by privately owned funds and institutions, and by publicly owned development finance institutions and development banks. It includes all investments with an intent for impact and identifies a core which have impact management systems to provide a credible contribution to impact and measurement of impact. Intent, contribution and measurement are the key attributes which differentiate impact investing from other forms of sustainable or responsible investing. In total, the report identifies a total of 2.3 trillion Dollars being invested for impact in 2020. This is equivalent to about 2 percent of global AUM. Impact investing remains a small market niche, but one that is attracting growing interest. Additionally, the report shares findings on broader trends relating to investing for impact, including opportunities in publicly traded assets. IFC's report is the most comprehensive assessment so far of the size of the global impact investing market. Findings from the report are based on publicly available information and verifiable data from selected proprietary databases
    DOI: 10.1596/36263
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    How Firms are Responding and Adapting During COVID-19 and Recovery : Opportunities for Accelerated Inclusion in Emerging Markets (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Business Cycles and Stabilization Policies ; Coronavirus ; COVID-19 ; Disease Control and Prevention ; Emerging Markets ; Gender ; Health, Nutrition and Population ; Insurance ; Macroeconomics and Economic Growth ; Private Sector Development ; Private Sector Economics ; Trade
    Abstract: Coronavirus disease 2019 (COVID-19), which began as a health crisis in early 2020, has rapidly evolved to become an unprecedented economic crisis affecting global, national, and regional economies and billions of individuals around the world. This report analyzes the widespread implications of the crisis on industry sectors, businesses, individuals, families, and communities. It closely examines evidence and data from business sectors and segments of society that may face challenging paths to recovery, including the most vulnerable firms and individuals in emerging markets that are likely to experience continuing hardship and specific difficulties coping with the crisis. And it highlights opportunities for the private sector to respond, to support a vigorous recovery and to build back better. The first section of the report, chapters 1 to 5 addresses issues that cut across sectors, as well as ways the development community can join with the private sector to help impacted communities and sectors recover and rebuild. The second section, chapters 6 to 9 focus on sector-specific responses to the crisis. The final section, chapters 10 to 12 attends to gender inequities, how they have been aggravated by the crisis, and potentially effective remedies
    DOI: 10.1596/36265
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  • 78
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    Creating Markets in Madagascar : For Inclusive Growth - Country Private Sector Diagnostic (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Access To Finance ; Agribusiness ; Business Environment ; Emerging Markets ; Human Capital ; Private Sector Development ; Private Sector Economics
    Abstract: The report is organized as follows: the first part gives an overview of recent economic and private sector trends, followed by an in-depth review of the cross-cutting constraints that affect private sector participation. The CPSD recommends putting a special focus on resolving three types of constraints: (a) deep-rooted governance issues (especially as they relate to policy unpredictability, red tape, and the uneven playing field in key sectors of the economy); (b) infrastructure bottlenecks, focusing on transport connectivity and energy; and (c) limited and poorly functioning factor markets for human capital, access to finance, and land. The second part lays out opportunities and policy options to strengthen competitiveness in agribusiness, apparel, and tourism. The three sectors reviewed are deemed to hold a high potential for job creation and growth and have been prioritized by the PEM and by the private sector stakeholders and development partners consulted for the report. The review puts a lens on addressing gender gaps, policies to promote sustainability, and opportunities to increase the impact of information and communication technology (ICT) as an enabler for development, where relevant
    DOI: 10.1596/37845
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  • 79
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    Leading Tanzanian Women in Financial Services : An Examination of Gender Equality in Tanzania's Financial Services Sector (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Women in Development and Gender Study
    Keywords: Employment ; Finance and Development ; Finance and Financial Sector Development ; Gender
    Abstract: There is a strong business and economic case for increasing women's representation in companies' leadership, globally, and especially in Africa. In 2019, the International Labor Organization (ILO) conducted a worldwide survey on the impact of gender diversity initiatives on 13,000 enterprises. In the study, ILO found that approximately 90 percent of companies track the quantitative impact of gender diversity initiatives around promoting women in management, and of those nearly 74 percent saw an increase in profits of between 5 and 20 percent. Given how critical the financial services sector is to economic growth, to help accelerate its progress, International Finance Corporation (IFC) launched several initiatives to better understand the opportunities and constraints to increasing the recruitment, retention, and promotion of women. In Tanzania, for example, IFC's finance2equal gender program is working in partnership with a selection of companies to reduce gender gaps in the financial services sector through research, peer learning, and firm-level support. Under this initiative, the study summarized in this report investigates gaps in workplace policies and practices as well as differences in the roles of women and men and makes recommendations to reduce gender gaps
    DOI: 10.1596/37848
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  • 80
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    Trishuli Assessment Tool - Field Manual : A Standardized Methodology for Freshwater Aquatic Biodiversity Sampling and Long-Term Monitoring for Hydropower Projects in the Himalayan Region (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Water Papers
    Keywords: Environment ; Water Conservation ; Water Resources ; Water Resources Management
    Abstract: The Trishuli Assessment Tool is a standardized methodology for sampling freshwater aquatic biodiversity in hydropower projects. This tool was developed to: 1) strengthen the collection of aquatic biodiversity data for environmental impact assessments (EIAs) and international-level environmental and social impact assessments (ESIAs); and 2) provide a simple yet standardized method for the long-term monitoring of aquatic biodiversity in relation to hydropower projects. The tool was developed by a group of 30 international and Nepalese aquatic scientists at a workshop in 2019 and tested during a field survey in 2020. It provides a field sampling methodology for three focal groups of aquatic biodiversity: fish, macroinvertebrates, and periphyton as indicators of overall aquatic biodiversity. This field manual provides guidance for implementing the Trishuli assessment tool in the rivers of Nepal and other Himalayan regions. The manual is applicable to all types of hydropower projects (HPPs), from small run-of-river to larger peaking projects because all of them have some impact on the aquatic environment
    DOI: 10.1596/37869
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  • 81
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    Consumer and Market Study in Southwest and West Nile Refugee-Hosting Areas in Uganda (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other Financial Sector Study
    Keywords: Business Environment ; Emerging Markets ; Human Migrations and Resettlements ; Private Sector Development ; Private Sector Economics ; Social Development ; Voluntary and Involuntary Resettlement
    Abstract: The International Finance Corporation (IFC) commissioned a consumer and market study to explore economic activities, employment trends, consumption levels, and consumer preferences of refugees and host communities in Uganda's largest refugee-hosting areas in the Southwest and West Nile regions. The study covers a gap in existing research on the economic situations of forced displacement, which is often conducted from a humanitarian perspective and rarely offers the private sector view. The study presents the refugees' economic activities in their distinct roles as consumers, producers, suppliers, and salaried workers from the view of a private sector firm entering the market. It builds on earlier research conducted by the Uganda Investment Authority, in partnership with the United Nations Development Program (UNDP), which produced investment profiles for refugee-hosting districts. The report is divided into eight chapters. Chapter one introduces the study. Chapter two outlines the study methodology. Chapter three provides socioeconomic baseline data, such as educational attainment, employment, and income, comparable by region and population group (refugees versus host communities). Chapter four explores access to telecommunication and financial services. Chapter five analyzes household consumption expenditure, the volume of economic activity, consumer preferences, and access to finance and telecommunication services. Chapter six discusses findings from the business survey. Chapter seven briefly looks at agricultural value chains in the Southwest and West Nile. Chapter eight presents investment opportunities in the refugee-hosting districts for the private sector
    DOI: 10.1596/37876
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    Strategy for Sustainable Hydropower Development in the Jhelum Poonch River Basin Pakistan (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Energy Study
    Keywords: Energy ; Environment ; Environmental Protection ; Hydro Power ; Hydropower ; Law and Development ; Water Resources ; Water Resources Law
    Abstract: IFC has remained financer and development partner in hydropower projects in Pakistan. In this process, IFC has developed a comprehensive approach for developing sustainable hydropower as a cheaper and cleaner energy that benefits the environment as well as the communities in the area. A key part of the approach involves raising environmental and social standards in hydropower development through its advisory engagements. Strategy for Sustainable Hydropower Development in the Jhelum Poonch River Basin (JPRB) is one such IFC initiative implemented through a multistakeholder-engagement process to provide practical guidance for government, developers, and other stakeholders. The proposed strategy presents key lessons learned from hydropower projects in the Jhelum-Poonch River Basin as well as other related basins during construction and operation. It enhances the knowledge base of the Jhelum-Poonch Basin and provides recommendations for hydropower developers and government to implement best practice in their projects. This helps strike a balance between conservation and development by minimizing negative environmental and social impacts from hydropower projects in the basin. The strategy provides recommendations for government and regulators on how to improve policy and regulation to strengthen the hydropower sector. Developers can make good use of this report to strengthen their planning, systems, and business operations
    DOI: 10.1596/37865
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  • 83
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    Architectural And Cultural Heritage Tourism Products In Nepal : An Assessment of New Private Sector Investment Opportunities in the Tourism Sector in Annapurna Conservation Area (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Investment Climate Assessment
    Keywords: Accommodation and Tourism Industry ; Business in Development ; Cultural Assets for Poverty Reduction ; Employment ; Environment ; Industry ; Poverty Reduction ; Private Sector Development ; Tourism and Ecotourism ; Tourism Industry
    Abstract: IFC supports the tourism industry because of its strong development impact. It is easily accessible to rural entrepreneurs, allows for local approaches and products, has a bias towards female participation, and enables excellent supply-chain linkages. Our activities in tourism are aimed at promoting private sector-investments leading to sustainable and inclusive growth. In Nepal, tourism development also enables the creation of cultural, adventure, and sightseeing experiences that have appeal and significance among its established global, loyal market of visitors-ranging from pilgrims to mountaineers, hikers, and wellness and sightseeing travelers. But the COVID-19 pandemic has hit the tourism industry especially hard. The potential loss to the country's GDP from the collapse of tourism activities is estimated at USD 460 million. Around 230,000 jobs are at risk; 20,000 tour and trekking guides are unemployed, and 2,600 trekking agencies are closed, some maybe permanently. Now, as outbound markets begin to show signs of recovery, it is time to implement strategic adjustments to Nepal's tourism sector and implement policies that will align the destination with the new market reality
    DOI: 10.1596/37854
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    Creating Markets in the Kyrgyz Republic : Unleashing the Private Sector to Rebuild Development Success - Country Private Sector Diagnostic (2021)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Keywords: Business Environment ; Emerging Markets ; Microenterprises ; Private Sector ; Private Sector Development ; Private Sector Economics ; Sustainability
    Abstract: This country private sector diagnostic (CPSD) for the Kyrgyz Republic assesses the barriers and opportunities for a more forceful development of the private sector in the country. Between 2000 and 2019, gross domestic product (GDP) growth rate averaged 4.4 percent, enabling the Kyrgyz Republic's ascension to lower-middle-income country status by 2014. Economic growth has been unstable as its sources lacked diversity and were vulnerable to external shocks. Economic growth has been unstable as its sources lacked diversity and were vulnerable to external shocks. If the Kyrgyz Republic wants to inaugurate a new era of faster, more sustainable economic growth, it must more aggressively develop its private sector to support economic diversification and improve productivity
    DOI: 10.1596/37850
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    Country Partnership Framework for the Central African Republic for the Period FY21-FY25 (2020)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Country Partnership Frameworks
    Abstract: The Central African Republic (CAR), sparsely populated and landlocked in the heart of the continent, is one of the poorest and most fragile countries in the world despite its wealth in natural resources. The socio-economic and health impacts of the Coronavirus disease (COVID-19) will put additional strain on an already fragile system. CAR is at a critical inflection point, following the signature of an ambitious Peace Accord - with a subsequent sharp decline in violence - and ahead of a double electoral cycle
    DOI: 10.1596/34466
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    Coordinating Prudential Regulation and Secured Transactions Frameworks : A Primer (2020)
    Washington, D.C : The World Bank
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    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other Financial Sector Study
    Abstract: Coordination between secured transactions law and rules regulating financial products and institutions is of primary importance to support establishing a sound and inclusive credit ecosystem. This Primer illustrates why coordination between secured transactions law reforms and prudential regulation is needed; introduces the rationale and key tenets of prudential regulatory regimes. Also, specific attention is given to capital requirements and prudential loan-loss provisioning. The Primer also identifies a set of typical issues emerging from the reform experiences of several jurisdictions and presents the key elements of the regulatory strategy to approach such issues
    DOI: 10.1596/34813
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    Unlocking Data Innovation for Social License in Natural Resources (2020)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other papers
    Abstract: This discussion paper is a product of the from disclosure to development (D2D) program, led by the sustainable infrastructure advisory team of the International Finance Corporation (IFC). The program, launched in 2017, is funded by the BHP Foundation and implemented in collaboration with the World Bank. It builds on more than a decade of IFC and World Bank experience in natural resources transparency and open data. The program's goal is to enhance benefit sharing with communities from investment in natural resources through effective disclosure and data-use practices. D2D develops and tests new approaches, partnerships, and platforms aimed at improving the ways in which companies and governments disclose data, so that communities and other stakeholders can use it to inform their decisions and actions. The social license to operate (SLO) refers to the ongoing acceptance of a company or industry's standard business practices and operating procedures by stakeholders, local communities, and the general public. Transparency and community engagement can also create the foundations for developing proactive systems for companies to recognize and address community concerns and create tangible programs to improve planning with host communities, governments, and civil society. The goal is to establish social value that is measurable and verifiable and emphasizes the issues that matter to different groups of stakeholders
    DOI: 10.1596/33299
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    Country Partnership Framework for the Republic of Rwanda FY21-FY26 (2020)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Country Partnership Frameworks
    Abstract: Rwanda is widely celebrated for the remarkable social, political, and economic renaissance it has experienced in the years following the genocide against the Tutsi of 1994. However, Rwanda appears to have relatively higher poverty rates than African peers with similar income per capita, and its elasticity of poverty reduction to growth is low compared to high-growing SSA peers. Poverty is concentrated in rural areas and among households with many children. Rwanda now faces challenges in fully translating its very strong growth into commensurate gains in poverty reduction and shared prosperity. This Country Partnership Framework (CPF) sets out the World Bank Group's (WBG) plans for addressing the country's development priorities as identified in the 2019 Systematic Country Diagnostic (SCD) and Rwanda's National Strategy for Transformation (NST1) well as supporting Rwanda's response to the Coronavirus (COVID-19) pandemic to recover from the negative public health and socio-economic impacts of the pandemic. The CPF takes into account Rwanda's anti-crisis response program as of mid-May 2020, including the government's emergency Economic Recovery Plan, although it will likely continue to evolve in coming months. It was agreed with the authorities that should the situation warrant considerable changes to the government's strategy and its program with the WBG, the Performance and Learning Review (PLR) will be brought forward to accommodate such changes. The CPF spans two IDA cycles, IDA19 (July 2020 to June 2023) and IDA 20 (July 2023 to June 2026). Given the country's preference for frontloading its IDA commitment, and a track record of making good use of additional IDA resources available, Rwanda will explore the use of additional resources from IDA windows
    DOI: 10.1596/34682
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    Assessment of Secondary Markets for Movable Assets in the Jamaica Manufacturing Sector (2020)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other Financial Sector Study
    Abstract: One of the critical challenges to micro, small, and medium enterprises (MSMEs) continues to be access to finance (World Bank 2019). Asset-based lending (ABL) is emerging as a unique financing option for businesses and a new way to provide working-capital financing to support business growth and sustain business operations. The approach leverages nontraditional but valuable movable assets such as machinery, equipment, securities, accounts receivable, agricultural produce, and intellectual property rights as collateral to secure financing from credit institutions. These assets are common among entrepreneurs and established businesses but are seldom considered as a useful form of collateral to access short-term financing. Interestingly, among developing countries, movable assets represent as much as 78 percent of the capital stock of enterprises relative to immovable assets such as land and buildings (22 percent) (Alvarez de la Campa 2011). Despite this, insufficient collateral continues to be one of the main reasons loans are not granted in emerging markets (Fleisig, Safavian, and de la Pena 2006), perhaps reflecting the preference of financial institutions to utilize collateral based on immovable assets such as land and buildings. This assessment seeks to examine MABL in Jamaica, with a focus on developing possible options for deepening secondary markets among assets commonly used as collateral in MABL. The report includes recommendations for developing secondary markets, among other potential assets that can be used for MABL, as well as general steps for implementation
    DOI: 10.1596/34810
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  • 90
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    Country Partnership Framework for the Republic of Senegal for the Period FY20-FY24 (2020)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Country Partnership Frameworks
    Abstract: This five-year Country Partnership Framework (CPF) for Senegal lays out the World Bank Group (WBG) program for the FY20-FY24 period, which aims to support the country in its path towards achieving middle-income status by 2035
    DOI: 10.1596/33439
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    Country Partnership Framework for the Republic of Sierra Leone for the Period FY21 - FY26 (2020)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Country Partnership Frameworks
    Abstract: Sierra Leone has an advantageous geography and abundant mineral, agricultural and blue resources, yet the country's per capita gross domestic product (GDP) is almost the same as it was after independence. This CPF is highly selective and opportunistic, focusing on putting the fundamentals in place, with a strong emphasis on critical development accelerators that touch the lives of every Sierra Leonean: human capital, energy and technology
    DOI: 10.1596/33871
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  • 92
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    Data in Action : Natural Resources Disclosure for People and Progress (2020)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other papers
    Abstract: This discussion paper is a product of the from disclosure to development (D2D) program, led by the sustainable infrastructure advisory team of the International Finance Corporation (IFC). The program, launched in 2017, is funded by the BHP Foundation and implemented in collaboration with the World Bank. The program's goal is to enhance benefit sharing with communities from investment in natural resources through effective disclosure and data-use practices. D2D develops and tests new approaches, partnerships, and platforms aimed at improving the ways in which companies and governments disclose data, so that communities and other stakeholders can use it to inform their decisions and actions. To bridge the information asymmetry in the sector and give voice to communities, D2D works to improve the disclosure and use of open data with capacity building, multi-stakeholder dialogues, and data-driven innovation activities with youth, infomediaries, and digital entrepreneurs. The D2D program uses lessons learned from these in-country activities to contribute to global efforts to improve transparency in the natural resources sector through more effective disclosure and use of data. In the coming years, D2D plans to expand to other countries and infrastructure sectors and to add a gender data component
    DOI: 10.1596/33300
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  • 93
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    Transparency for Impact : Lessons from IFC Projects in Peru's Natural Resources Sector (2020)
    Washington, D.C : The World Bank
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    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other papers
    Abstract: The natural resources sector, particularly the mining industry, has been a significant part of Peru's economic growth over the past decade. The law mandates that the national government transfer half of the income taxes paid by mining companies to regional and local governments. This transfer of funds represents a significant opportunity to respond to the needs of local communities and lift them out of poverty. The Peruvian law of transparency and access to public information lays out mandatory compliance rules for public authorities and officials. It requires public entities at the national, regional, and municipal levels to deliver, in a timely manner, information requested by people and entities and to provide adequate infrastructure to systemize and publish public information. International Finance Corporation (IFC) identified five groups of stakeholders that were key in promoting transparency and accountability: authorities and municipal officials; local leaders; surveillance committees of the participatory budgeting process; the media; and the general population. Implementation of IFC's transparency and accountability projects in Peru generated a wealth of information, experience, recommendations, and lessons that will be useful when designing and implementing future interventions
    DOI: 10.1596/33298
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    Blockchain : Opportunities for Private Enterprises in Emerging Markets, Second Edition (2019)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other papers
    Abstract: Blockchain is an emerging technology that offers the possibility of re-engineering economic models and enabling the creation of markets and products that were previously unavailable or unprofitable across emerging markets. This report is intended to introduce readers to current developments in distributed ledger technology, or blockchain, with the vantage point of possible benefits to emerging markets. The first six chapters were written a year ago, while the last three are more recent and bring the perspective of a year of development in the nascent technology. Chapter 1 provides an overview of blockchain technology, followed by a look at its unfolding applications in emerging markets in Chapter 2. Chapter 3 examines whether blockchain can be used to mitigate de-risking by financial institutions. Chapters 4 and 5 look more closely at the financial services sector, including an overview of how blockchain fits into the spectrum of financial technology (fintech) innovations and the resulting provision of financial services (Chapter 4), and an analysis of blockchain's contribution to reaching the unbanked and underbanked in various emerging markets, including in Latin America, Asia, and Sub-Saharan Africa (Chapter 5). Chapter 6 looks beyond fintech to explore how developments in applied blockchain technology can impact agribusiness, drug safety, and more generally provide enforcement tools to promote the reach of sustainable and inclusive business. Chapter 7 discusses the proper regulatory environment needed to stimulate competition and investment in blockchain technologies in emerging markets and beyond. Chapter 8 examines the potential of blockchain to accelerate the transition to low-carbon energy solutions in these countries. Chapter 9 offers a review of legal issues associated with the use of blockchain and how these can be addressed
    DOI: 10.1596/31251
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  • 95
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    Creating Markets in Burkina Faso : Growing Burkina Faso's Private Sector and Harnessing it to Bolster Economic Resilience (2019)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Abstract: A small landlocked economy in the heart of West Africa's French-speaking Sahel, Burkina Faso is characterized by its modest economic size, with a rapid population growth, with one of the highest per capita birth rates in the world. Burkina Faso needs to create 300,000 jobs annually to match its demographic growth, while about ninety percent of its workers are in the informal sector. Despite sustained robust economic growth over the past two decades driven by cotton and gold exports, private investment is low. Compounding the considerable development challenges that it faces, Burkina Faso is currently confronted by acute security and climatic threats, together with emerging fiscal risks. This country private sector diagnostic (CPSD) therefore investigates whether opportunities exist for the private sector to contribute more substantially to Burkina Faso's development. The CPSD proposes a platform for action aimed at boosting Burkina Faso's development through greater private sector investment. The remainder of the report provides an overview of: (i) the private sector environment; (ii) the cross-cutting constraints to the private sector; (iii) the critical enabling sector bottlenecks to the private sector; (iv) the opportunities for the private sector; and (v) a series of priority private sector focused recommendations
    DOI: 10.1596/32401
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  • 96
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    Creating Markets in Morocco : A Second Generation of Reforms - Boosting Private Sector Growth, Job Creation and Skills Upgrading (2019)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Abstract: Morocco has steered significant resources towards large investments in economic sectors identified as strategic to growth, and for increased productivity and value addition. Despite Morocco's strikingly high investment rate, one of the highest in the world at an average of thirty-four percent of gross domestic product (GDP) annually since the mid-2000s, the returns in economic growth, job creation and productivity, have been disappointing. The Moroccan economy has performed particularly poorly in terms of job creation. A more vibrant private sector is needed to create more jobs. This CPSD identifies policy recommendations and investment opportunities that would foster job creation by the formal private sector and improve labor supply in skills that would anchor Morocco as an emerging economy, to continue its path of growth, and to move into higher value-added and innovative sectors
    DOI: 10.1596/32402
    URL: Deutschlandweit zugänglich
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  • 97
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    Online Resource
    Creating Impact : The Promise of Impact Investing (2019)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Other Financial Accountability Study
    Abstract: This report takes stock of the market for impact investing and examines the conditions that would allow the market to grow and realize its potential. Historically, there have always been investors who cared about more than just financial returns. Governments and philanthropists, for example, have set up investment vehicles with mandates to promote social and environmental goals. Over the last decade, impact investing has gained prominence as an approach to investment that aims to achieve both financial returns and social or environmental goals.1 This has created a dynamic but somewhat disorganized market of diverse participants, standards, and concepts. Although still small, the market is attracting considerable interest, and it has the potential to increase in scale, and thereby contribute to the achievement of the Sustainable Development Goals (SDGs) and the Paris climate goals
    DOI: 10.1596/32767
    URL: Deutschlandweit zugänglich
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    MPI Ethno. Forsch.
  • 98
    Online Resource
    Online Resource
    Improving the Investment Climate for Renewable Energy : Through Benefit Sharing, Risk Management, and Local Community Engagement (2019)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Energy Study
    Abstract: The report, a joint effort between the World Bank's Social Development Global Practice and International Finance Corporation (IFC) advisory services, is based on the idea that local engagement, for example, through benefit sharing, is an important way for better risk management and creating a more enabling environment for renewable energy development. It finds that the underlying causes of the conflicts are diverse, complex, and dynamic: influencing factors include historical struggles over poverty and inequality, land ownership, mistrust in public and private institutions, a lack of free, prior and informed consultations (FPIC) before investment flows into the region and oftentimes a missing legal framework for benefit sharing. The study provides recommendations on how to improve the investment climate for renewable energy and wind energy, in particular, through benefit sharing, risk management, and local community engagement. Integrating communities through FPIC or benefit sharing mechanisms is costly - but the cost of not integrating communities and of failed projects is even higher
    DOI: 10.1596/32748
    URL: Deutschlandweit zugänglich
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    MPI Ethno. Forsch.
  • 99
    Online Resource
    Online Resource
    Creating Markets in Kenya : Unleashing Private Sector Dynamism to Achieve Full Potential (2019)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Private Sector Development, Privatization, and Industrial Policy
    Abstract: Kenya has the opportunities and resources to stimulate sustainable economic growth and development, but its potential has been constrained by under-investment and low firm-level productivity. Altogether, its development has not been sufficiently sustainable or equitable to transform the lives of ordinary citizens. Poverty remains high, with thirty-six percent of Kenyans living under the national poverty line, whereas the richest ten percent of the population receive forty percent of the nation's income. This country private sector diagnostic (CPSD) sheds light on how the private sector can more effectively contribute to advancing the country's developmental goals. Applying a sectoral lens, it puts forward operational recommendations highlighting strategic entry points for diversification and growth and addresses key constraints to private sector engagement. It also seeks to inform World Bank and IFC strategies, paving the way for joint programming to create markets and unlock private sector potential
    DOI: 10.1596/32799
    URL: Deutschlandweit zugänglich
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  • 100
    Online Resource
    Online Resource
    Country Partnership Framework for the Republic of Cabo Verde for the Period FY20-25 (2019)
    Washington, D.C : The World Bank
    Details
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Series Statement: Country Partnership Frameworks
    Abstract: Propelled by almost 20 years of sustained growth, Cabo Verde achieved low middle-income country (MIC) status in 2007, one of the first African countries to do so. The impact of the 2008 crisis on Cabo Verde's growth trajectory was heightened by the country's undiversified economy. Since 2016, the resumption of growth, combined with fiscal consolidation efforts, have helped to strengthen public sector finances. In response to these challenges, the Government launched an ambitious development strategy for 2017-2021, the Strategic Plan for Sustainable Development. The FY20-25 Country Partnership Framework (CPF) will support the Government's strategy through highly selective interventions
    DOI: 10.1596/32647
    URL: Deutschlandweit zugänglich
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    MPI Ethno. Forsch.
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