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  • BSZ  (60)
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  • English  (60)
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  • 1
    Online Resource
    Online Resource
    Technology Innovation for Business Intelligence and Analytics (TIBIA) : Techniques and Practices for Business Intelligence Innovation (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031552212
    Language: English
    Pages: 1 Online-Ressource(VIII, 513 p. 54 illus., 46 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 147
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Product Differentiation Strategy between Cost Leadership -- Organizational Culture between Business Process Reengineering and Business Value -- Customisation Strategy and Product Variety on Operational Performance -- Team Creativity and Continuous Improvement on Time-To-Market -- Online Buying Behavior in the UAE Online Retail Industry: The Role of Emotional Intelligence.
    Abstract: This book provides a standpoint on how to effectively use technology innovation for business intelligence and analytics. It presents an approach that combines cutting-edge technological advancements with practical applications in the business world. The book covers a range of innovative technologies and how they can be applied to enhance business intelligence and analytics. It is primarily aimed at professionals in the business field data analysts and students studying subjects. This book is especially beneficial for those who want to grasp and apply the technological trends in making strategic business decisions. Its comprehensive coverage makes it an indispensable resource for anyone, in the intersection of technology and business analytics. .
    DOI: 10.1007/978-3-031-55221-2
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    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Advanced Systems for Environmental Monitoring, IoT and the application of Artificial Intelligence (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031508608
    Language: English
    Pages: 1 Online-Ressource(XIV, 341 p. 94 illus., 88 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 143
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    Keywords: Engineering ; Environmental management. ; Big data. ; Computational intelligence.
    Abstract: Environmental risks put one in six people at risk, as well as our complex ecosystems. Today, IoT sites can monitor the environment and assess risks. Clean technologies can help detect toxic substances, chemical spills, hazardous pollutants, and other issues, enabling both governments and industries to clean or protect the air, land, water, and other environments, and how IoT can support these processes. IoT-enabled environmental intelligence is the constant measurement and collection of our physical environment, through sensors and smart devices. Integrated sensors in irrigation facilities, water supply systems, pipelines, cisterns, weather stations, ocean, and industrial facilities—anywhere on the globe—can record temperature, relative humidity, water content, leaks, and any other physical parameters.
    DOI: 10.1007/978-3-031-50860-8
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    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031522802
    Language: English
    Pages: 1 Online-Ressource(XI, 675 p. 72 illus., 61 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 144
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Welcome to the Age of ChatGPT -- The Coming ChatGPT -- Exploring the Interpretability of Sequential Predictions through Rationale Model -- AI in Education: An Overview -- Adopting the Power of AI Chatbots for Enriching Students Learning in Civil Engineering Education: A Study on Capabilities and Limitations -- Revolutionizing Education of Art and Design through ChatGPT -- ChatGPT-Artificial Intelligence Studies of Business Analytics Adoption and Usage.
    Abstract: This book aims to bring together a collection of innovative and cutting-edge research that addresses the various challenges in the application and theoretical aspects of ChatGPT in education. ChatGPT is a large language model developed by OpenAI that has the ability to generate human-like text based on a prompt. This has significant potential for use in the field of education, as it allows for the creation of personalized, interactive learning experiences, automating assessment and grading, and more. In e-learning, ChatGPT is used to provide instant feedback and support to students, as well as generate interactive conversations in the target language for language learning. It is also integrated with existing learning management systems and educational technology platforms to enhance their capabilities. In research, ChatGPT is used for natural language processing and sentiment analysis to gather insights on student learning experiences and educational outcomes. However, it is important to note that there are also ethical and privacy concerns that come with using language models like ChatGPT in education, such as data protection and the potential for bias. Overall, the use of ChatGPT in education has the potential to revolutionize the way we learn, teach, and access information. The book seeks to publish original manuscripts that cover a broad range of topics, from the development of new chatbot technologies and their integration into the classroom, to the examination of the ethical and pedagogical implications of these systems. By compiling the latest developments in the field and highlighting new areas for exploration, this book provides valuable insights and perspectives for researchers, educators, and practitioners working in the field of ChatGPT and education. The ultimate goal is to advance the understanding of ChatGPT and its role in education and to promote its effective and responsible use in the classroom and beyond.
    DOI: 10.1007/978-3-031-52280-2
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    Online Resource
    BSZ
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Cyber Security Impact on Digitalization and Business Intelligence : Big Cyber Security for Information Management: Opportunities and Challenges (2024)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031318016
    Language: English
    Pages: 1 Online-Ressource(X, 598 p. 34 illus., 29 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 117
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Digital transformation and Disruptive Technologies -- Cloud Computing and DevOps on Managing Projects -- Product Differentiation Strategy between Cost Leadership Strategy and Order-Winners -- Customisation Strategy and Product Variety on Operational Performance -- Demand Forecasting on Effective Supply Chain with Mediating Role of Strategic Planning -- Information Sharing and Delivery Time on Customer Happiness.
    Abstract: This book takes a unique approach by exploring the connection between cybersecurity, digitalization, and business intelligence. In today's digital landscape, cybersecurity is a crucial aspect of business operations. Meanwhile, organizations continue to leverage digital technologies for their day-to-day operations. They must be aware of the risks associated with cyber-attacks and implement robust cybersecurity measures to protect their assets. It provides practical insights and solutions to help businesses better understand the impact of cybersecurity on their digitalization and business intelligence strategies. It provides practical insights and solutions for implementing cybersecurity measures in organizations and covers a wide range of topics, including threat intelligence, risk management, compliance, cloud security, and IoT security. The book takes a holistic approach and explores the intersection of cybersecurity, digitalization, and business intelligence and examines the possible challenges and opportunities.
    DOI: 10.1007/978-3-031-31801-6
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    BSZ
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Advances in Internet, Data & Web Technologies : The 12th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2024) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031535550
    Language: English
    Pages: 1 Online-Ressource(XXII, 651 p. 317 illus., 262 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 193
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Few Shot Ner on Augmented Unstructured Text from Cardiology Records -- The Influence of Financial Literacy and Financial Technology on Smes' Sustainability -- The Effect of Digital and Human Capital Transformation on Sme Performance With Accounting Information Systems as an Intervening Variable -- Openvslam-based Development Framework for Web-based Vr Tours Using 360vr Videos and Its Extensions -- Implementation of a Fuzzy-based System for Assessment of Logical Trust Considering Reliability as a New Parameter -- Source Code Vulnerability Detection Based on Graph Structure Representation and Attention Mechanisms -- An Efficient Vulnerability Detection Method for 5g Nas Protocol Based on Combinatorial Testing -- Graph-based Detection of Encrypted Malicious Traffic with Spatio-temporal Features -- Fuzzing Iot Devices via Android App Interfaces with Large Language Model -- Towards the Automated Population of Thesauri Using Bert: A Use Case on the Cybersecurity Domain -- Network Scanning Detection Based on Spatiotemporal Behavior -- Iotaint: An Optimized Static Taint Analysis Method in Embedded Firmware -- An Innovative Approach to Real-time Concept Drift Detection in Network Security -- Formal Analysis of 5g Eap-tls 1.3 -- Perceiving Human Psychological Consistency: Attack Detection Against Advanced Persistent Social Engineering.
    Abstract: The book presents original contributions to the theories and practices of emerging internet, data, and web technologies and their applicability in businesses, engineering, and academia. As a key feature, it addresses advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two most prominent paradigms, in a variety of forms such as data centers, cloud computing, mobile cloud, and mobile web services. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. Researchers, software developers, practitioners, and students interested in the field of data and web technologies will find this book useful and a reference for their activity.
    DOI: 10.1007/978-3-031-53555-0
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    BSZ
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Strategic Blueprint for Enterprise Analytics : Integrating Advanced Analytics into Data-Driven Business (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031558856
    Language: English
    Pages: 1 Online-Ressource(XVII, 245 p. 64 illus., 34 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 150
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future.
    DOI: 10.1007/978-3-031-55885-6
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  • 7
    Online Resource
    Online Resource
    Advanced Techniques of Artificial Intelligence in IT Security Systems (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031538544
    Language: English
    Pages: 1 Online-Ressource(V, 91 p. 38 illus., 35 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 146
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Big data.
    Abstract: Artificial neural networks -- Initialization of weights values in neural networks -- Convolution neural networks -- Application of artificial intelligence methods in profiling of computer network users -- Profiling users using the random forest algorithm -- Convolutional networks in user profiling -- User profiling using recurrent-convolutional networks -- Detection of network traffic anomalies using OC-NN.
    Abstract: The book explores how modern technologies, including artificial intelligence and neural networks, are being used to enhance cybersecurity. In today's world, the development of the Internet is nothing short of transformative, affecting every aspect of our lives. Ensuring the safety of its users is a paramount concern, and it requires a diverse set of disciplines to address. Researchers from various fields, including IT, mathematics, psychology, and medicine, are collectively working to tackle this interdisciplinary challenge. The significance of this issue has been magnified by the COVID-19 pandemic, which forced many aspects of our lives into the digital realm, from online payments to remote work and education. This shift brought new security challenges, with data privacy and system integrity taking center stage. It delves into the intricacies of Big Data by having to analyze an immense volume of network traffic data that can only be effectively analyzed with specialized tools. Real-time threat detection is critical, and the book sheds light on cutting-edge approaches to achieving this goal. The content of the book covers a broad spectrum of topics related to IT system security, from user and system profiling to preventing data leaks and defending against phishing attacks. Additionally, innovative concepts such as “glial networks” are introduced, offering new ways to interpret knowledge stored in convolutional networks. These solutions are not limited to security alone; they have applications across various domains. The book highlights the advantages of these cutting-edge approaches over existing methods, demonstrating their relevance to large corporations, public institutions, schools, small businesses, and households. In a world where security threats are constantly evolving, this book is a valuable resource for understanding the dynamic landscape of network security and the role of artificial intelligence in safeguarding our digital ecosystems.
    DOI: 10.1007/978-3-031-53854-4
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  • 8
    Online Resource
    Online Resource
    Big Data and Data Science Engineering : Volume 6 (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031533853
    Language: English
    Pages: 1 Online-Ressource(X, 198 p. 41 illus., 31 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Computational Intelligence 1139
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: A Study on the Factors Influencing the Intention to Use MyData Service -- A Study on the Intention to Use the Urban Air Mobility Passenger Transportation Service -- A Study on the Integration of Endpoint Security Service Operations Management - Focusing on Cloud Services -- A Study on the Factors Affecting the Korean Financial Institution’s Switching Intention to Open Source Software - Focused on System Software -- A Study on the Intention to Utilize Overseas Developers through Offshoring - Using the Value-Acceptance Model (VAM) -- The Role of Co-creation Experience and Switching Cost in the Relationship between Service Recovery and Customer Loyalty -- A Comprehensive Analysis of Security Measures for MyData in South Korea Based on AHP -- A Study on the Factors Influencing the Performance of Korea Venture Capital Funds -- A Research on Factors Influencing the Survival of Small Businesses: Focusing on Franchise Convenience Stores -- A Study on Purchase Intention for Innovative Products: Focusing on Oxygen-generating Air Purifiers -- The Impact of Company's ESG Activities on Corporate Reputation -- The Impact of ESG Activities in Midsize Manufacturing Companies on Purchase Intentions: Focusing on the Mediating Roles of Corporate Reputation, Brand Image, and Perceived Quality -- A Study on the Intention to Utilize Overseas Developers through Offshoring Approach and Strategy for Economic Cooperation between South and North Korea Using the Value-Acceptance Model (VAM) - Based on the Case Study of the Kaesong Industrial Complex -- A Study on the Intention to Use Home Network Services -- A Study on the Impact of Green Patent Data on ESG Environment Indicators. .
    Abstract: The book reports state-of-the-art results in Big Data and Data Science Engineering in both printed and electronic form. Studies in Computation Intelligence (SCI) has grown into the most comprehensive computational intelligence research forum available in the world. This book publishes original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.
    DOI: 10.1007/978-3-031-53385-3
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  • 9
    Online Resource
    Online Resource
    Data-Centric Security in Software Defined Networks (SDN) (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555176
    Language: English
    Pages: 1 Online-Ressource(XIX, 118 p. 38 illus., 2 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 149
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Data protection. ; Artificial intelligence. ; Big data.
    Abstract: Introduction -- Data-centric security -- Software Defined Networks -- Cross-layer enforcement of data security in SDN -- Risk-aware routing in SDN -- Risk-aware routing applicability for DCS enforcement -- DCS deployment in SDN-based systems.
    Abstract: The book focuses on applying the data-centric security (DCS) concept and leveraging the unique capabilities of software-defined networks (SDN) to improve the security and resilience of corporate and government information systems used to process critical information and implement business processes requiring special protection. As organisations increasingly rely on information technology, cyber threats to data and infrastructure can significantly affect their operations and adversely impact critical business processes. Appropriate authentication, authorisation, monitoring, and response measures must be implemented within the perimeter of the system to protect against adversaries. However, sophisticated attackers can compromise the perimeter defences and even remain in the system for a prolonged time without the owner being aware of these facts. Therefore, new security paradigms such as Zero Trust and DCS aim to provide defence under the assumption that the boundary protections will be breached. Based on experience and lessons learned from research on the application of DCS to defence systems, the authors present an approach to integrating the DCS concept with SDN. They introduce a risk-aware approach to routing in SDN, enabling defence-in-depth and enhanced security for data in transit. The book describes possible paths for an organisation to transition towards DCS, indicating some open and challenging issues requiring further investigation. To allow interested readers to conduct detailed studies and evaluate the exemplary implementation of DCS over SDN, the text includes a short tutorial on using the emulation environment and links to the websites from which the software can be downloaded.
    DOI: 10.1007/978-3-031-55517-6
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    BSZ
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  • 10
    Online Resource
    Online Resource
    Data-Driven Innovation for Intelligent Technology : Perspectives and Applications in ICT (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031542770
    Language: English
    Pages: 1 Online-Ressource(XII, 246 p. 68 illus., 59 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Studies in Big Data 148
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: Contactless Video-based Vital-sign Measurement Methods: A Data-driven Review -- Enhancing STEAM in Education 4.0: A Review of Data-driven Technological Improvements -- State-of-the-Art Review in Explainable Machine Learning for Smart-Cities Applications -- Exploring the Connection Between Digital Systems and Sustainability: Synergy for a Brighter Future.
    Abstract: This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value. It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others. This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.
    DOI: 10.1007/978-3-031-54277-0
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  • 11
    Online Resource
    Online Resource
    Transforming Public Services—Combining Data and Algorithms to Fulfil Citizen’s Expectations (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031555756
    Language: English
    Pages: 1 Online-Ressource(VIII, 239 p. 69 illus., 39 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 252
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Digital Transformation of public services: Introduction, Current Trends and Future -- Enhancing Citizen Satisfaction Using Citizen-Facing Process Mining -- Thinking inside the Sandbox: Beyond public services digitalization with co-production -- Thinking inside the Sandbox: Beyond public services digitalization with co-production -- Usage of Modern API for automization of Government procedures -- Epidemiology inspired Cybersecurity Threats Forecasting Models applied to e-Government -- The provision of e-services by public administration bodies and their cybersecurity -- The provision of e-services by public administration bodies and their cybersecurity -- Fuzzy Logic Architecture for Availing the E-Governance Health Care Services by Rural Citizens -- Enhancing the efficiency and the security of e-Government: the French case study of human resources applications.
    Abstract: This book provides a precise portrayal of the current trends and future perspectives of e-Government. It outlines new approaches that optimize public services across diverse sectors. Going beyond traditional boundaries, it offers mathematical models for public services supported by convincing case studies. This book significantly enhances various government services, such as education, healthcare, safety, security, and culture. It also strongly emphasizes safeguarding citizens' personal data, ensuring privacy, and obtaining explicit consent. Tailored for students and academics, the book is an invaluable reference for teaching graduate courses in e-Government, Process Modelling, or Artificial Intelligence. Its impact extends beyond the classroom; civil servants from all domains can find practical insights to navigate the ongoing modernization of public services. Even citizens curious about the transformation in their public services can find this book enlightening. Researchers working in the area of e-Governance can use this book to discover the recent developments in e-Government.
    DOI: 10.1007/978-3-031-55575-6
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  • 12
    Online Resource
    Online Resource
    Digital Transformation : Technology, Tools, and Studies (2024)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031559525
    Language: English
    Pages: 1 Online-Ressource(XI, 262 p. 77 illus., 73 illus. in color.)
    Edition: 1st ed. 2024.
    Series Statement: Intelligent Systems Reference Library 253
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: This book presents a multidisciplinary approach to digital transformation process of organizational transformation, offering support throughout the implementation process to all those interested. The digital transformation (DT) is a priority for many companies in the context of technological evolution. The use of appropriate tools, methodologies, methods, approaches, and techniques for DT, depending on the organizational characteristics, can contribute to a complete approach to organizational processes and to their efficiency. Digital transformation involves the adoption and use of new digital technologies to develop new products and services, modify existing ones and develop new business models to increase efficiency, productivity, and competitiveness. Starting from marketing to culture and education to health, automotive, engineering, mobility and human resources and others, it is addressed to professionals, practitioners, researchers, students, and other interested parties.
    DOI: 10.1007/978-3-031-55952-5
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  • 13
    Online Resource
    Online Resource
    Antitrust in Data Driven Markets & Legal Framework for Influencers, Native Advertising and Control over the Use of AI in Marketing (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031074226
    Language: English
    Pages: 1 Online-Ressource(XVII, 457 p. 1 illus.)
    Edition: 1st ed. 2023.
    Series Statement: LIDC Contributions on Antitrust Law, Intellectual Property and Unfair Competition
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    Keywords: Information technology—Law and legislation. ; Mass media—Law and legislation. ; Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Artificial intelligence. ; Telemarketing. ; Internet marketing. ; Big data. ; Trade regulation. ; Mass media ; Information technology
    Abstract: Part I: Antitrust in Data Driven Markets -- International Report -- Australia -- Austria -- Belgium -- France -- Germany -- Hungary -- Norway -- Switzerland -- United Kingdom -- Part II: Legal Framework for Influencers, Native Advertising and Control over the use of AI in Marketing -- International Report -- Austria -- Brazil -- Germany -- Hungary.
    Abstract: This book gathers contributions from a broad range of jurisdictions, written by practitioners and academics alike, and offers an unparalleled comparative view of key issues in competition law, intellectual property and unfair competition law, with a specific focus on the use of personal data. The first part focuses on the role of competition law in shaping the digital economy. It discusses the use of personal data, the market power of platforms, the assessment of free services, and more broadly the responsibility of dominant companies in the smooth functioning of the digital economy. In turn, the second part sheds light on how the conduct of influencers, native advertising and the use of AI for marketing purposes can be controlled by the law, focusing on the use of personal data and the impact of behavioral advertising on consumers. In this regard, the book brings together the current legal responses across a number of European and other countries, all summarized and elaborated on in the form of two international reports. The LIDC is a long-standing international association that focuses on the interface between competition law and intellectual property law, including unfair competition issues.
    DOI: 10.1007/978-3-031-07422-6
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  • 14
    Online Resource
    Online Resource
    Taxation of Big Data (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031433726
    Language: English
    Pages: 1 Online-Ressource(XIV, 218 p. 5 illus. in color.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
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    Keywords: Taxation ; Business enterprises ; Business tax ; Big data.
    Abstract: 1 Introduction -- 2 Data and their life cycle -- 3 Anatomy of the “data business” -- 4 Could Pay-per-privacy Options and Data Labour Markets End the Unlimited Collection of Free Data? -- 5 Current international approach to ‘data taxation -- 6 Ending the era of ‘free’ data: data collection tax (Step 1) -- 7 Towards a ‘robo-data tax’? (Step 2) -- 8 Permanent establishment: the fairest nexus of all? (Step 3) -- 9 Distribution of data (Step 4) -- 10 VAT on Data Transactions -- 11 Conclusion.
    Abstract: This book has the merit of being the first book analysing different aspects of data taxation from a wide perspective encompassing not only tax law but also other significant issues related to data, such as data protection and economic inefficiencies. The main aim is to provide data-specific solutions to data-driven problems. In the midst of a number of critical issues and a great deal of uncertainty currently reigning in the field, the authors attempt to put forward easy-to-implement and efficient proposals on the basis of an interdisciplinary analysis. The core idea of this book consists of segregating the utilisation of data into four different yet interdependent steps and constructing the tax law analysis on top of these four corner stones. Step one, occurring in the generation and collection phases of the data’s life cycle, comprises ‘the digital barter’ and other collection of data. Step two, taking place during the processing and analytics phases of the data’s life cycle, consists of microwork. Step three, situated in the storage, processing, analytics and use phases of the data’s life cycle, encompasses aggregation and internal use of data. Step four, materialising during the distribution and use phases of the data’s life cycle, covers sale of data, transfer of data and granting the right to use a database. The main issues occurring in each of the four steps are analysed separately, and yet interdependently, with an emphasis on international tax law. The book also comprises a VAT analysis; suggestion of a new type of tax, namely «data collection tax»; and a brief opinion on a potential future «robo-data tax». The subjects explored in this book are of interest for researchers, lawyers as well as tax administrations. Albeit being an academic publication, the developments made in this contribution are also relevant for the general public. After all, data, the youngest intangible, constitute the raw material of the fourth industrial revolution; and their use and taxation affect each and every citizen!
    DOI: 10.1007/978-3-031-43372-6
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  • 15
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    Advances in Machine Intelligence and Computer Science Applications : Proceedings of the International Conference ICMICSA’2022 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031293139
    Language: English
    Pages: 1 Online-Ressource(IX, 374 p. 133 illus., 103 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes in Networks and Systems 656
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: A new adaptation mechanism of the ALNS algorithm using reinforcement learning -- A solution based on Faster R-CNN for augmented reality markers’ detection: Drawing courses case study -- Unsupervising denoising model based generative adversarial networks -- Meta-heuristic algorithms for text feature selection problems -- A Deep learning approach for Hand Gestures Recognition -- An IoT ecosystem-based architecture of a Smart Livestock Farm -- Analyzing Instagram images to predict personality traits -- Heuristic algorithm for extracting frequent patterns in transactional databases.
    Abstract: This book encloses latest and advanced researches on artificial intelligence and its applications in computer science. It is an interesting book that aims to help students, researchers, industrialists, and policymakers understand, promote, and synthesize innovative solutions and think of new ideas with the application of artificial intelligence concepts. It also allows to know the existing scientific works and contributions in the literature. This book identifies original research in new directions and advances focused on multidisciplinary areas and closely related to the use of artificial intelligence in applications of computer science, communication, and technology. The present book contains selected and extended high-quality papers of the 1st international conference on Machine Intelligence and Computer Science Applications (ICMICSA’2022). It is the result of a reviewed, evaluated, and presented work in ICMICSA’2022 held on November 28–29, 2022, in Khouribga, Morocco.
    DOI: 10.1007/978-3-031-29313-9
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  • 16
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    IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges : IOT, Data Science and Artificial Intelligence Technologies (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031357831
    Language: English
    Pages: 1 Online-Ressource(XI, 391 p. 128 illus., 106 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1104
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering ; Cooperating objects (Computer systems). ; Big data. ; Computational intelligence.
    Abstract: Hybrid Compression Technique with Region of Interest for Medical Images in Wireless Sensor Networks -- Exploring IoT Applications in Industry 4.0 – Insights from Review of Literature -- Clustering IoT data using Machine Learning Methods: A Survey -- Towards the Improvement of Personalized Music Recommendation System using Deep Learning Techniques -- The Significance of IoT and Deep Learning in Activity Recognition -- Intelligent Monitoring of Disinfectants.
    Abstract: This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems. This book explores the current research and challenges to be faced by different researchers for building intelligent information solutions using key technologies; IoT, big data, and AI in improving quality of lives in smart cities and explores the limitations and capabilities of these three key computing technologies. The book is organized into three major parts; each part includes chapters exploring a specific topic, and there are: PART-1: IoT for Real World Solutions , (ii) Part-2: Big Data And Cloud Computing for Innovative Solutions For Day to Day Lives, and (iii) Part-3 Artificial Intelligence for Everyday Lives. This book may be useful to the scientists, scholars, and researchers who are working in the field of computer science and engineering, and communication engineering, along with the students in these subjects who are working or willing to work on IoT, big data, and AI technologies for improving quality of everyday life. Specialists as well as student readers find the book chapters encouraging and helpful. IoT, data science & cloud, and AI all are the undergraduate (UG/ bachelor) subjects. Use of these three key technologies for building new applications for better world is helpful for UG and postgraduate (PG/ MS) Programmes students (as an elective and core course). This book may also be very useful for the Ph.D. (research scholars) during their course work and may be used as an instrument to identify the different challenges associated with information systems.
    DOI: 10.1007/978-3-031-35783-1
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  • 17
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    Data Analytics for Smart Grids Applications—A Key to Smart City Development (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031460920
    Language: English
    Pages: 1 Online-Ressource(XXVI, 451 p. 178 illus., 165 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Intelligent Systems Reference Library 247
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Data Analytics For Smart Grids And Applications - Present And Future Directions -- Design, Optimization and Performance Analysis of Microgrids using Multi-Agent Q-Learning -- Big Data Analytics for Smart Grid: A Review on State-of- Art Techniques and Future Directions -- Smart Grid Management for Smart City Infrastructure using Wearable Sensors -- Studies on Conventional and Advanced Machine Learning Algorithm towards Framing of Robust Data analytics for the Smart Grid Application -- Prediction and Classification For Smart Grid Applications -- A Review on Smart Metering Using Artificial Intelligence and Machine Learning Techniques: Challenges and Solutions.
    Abstract: This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.
    DOI: 10.1007/978-3-031-46092-0
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  • 18
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    Classification Applications with Deep Learning and Machine Learning Technologies (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031175763
    Language: English
    Pages: 1 Online-Ressource(VIII, 288 p. 235 illus., 201 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1071
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Machine learning. ; Big data.
    Abstract: Artocarpus Classification Technique using Deep Learning based Convolutional Neural Network -- Rambutan Image Classification using Various Deep Learning Approaches -- Mango Varieties Classification-based Optimization with Transfer Learning and Deep Learning Approaches -- Salak Image Classification Method based Deep Learning Technique using Two Transfer Learning Models -- Image Processing Identification for Sapodilla Using Convolution Neural Network (CNN) and Transfer Learning Techniques -- Comparison of Pre-trained and Convolutional Neural Networks for Classification of Jackfruit Artocarpus Integer and Artocarpus Heterophyllus -- Markisa/Passion Fruit Image Classification based Improved Deep Learning Approach using Transfer Learning -- Enhanced MapReduce Performance for the Distributed Parallel Computing: Application of the Big Data -- A Novel Big Data Classification Technique for Healthcare Application using Support Vector Machine, Random Forest and J48 -- Comparative Study on Arabic Text Classification: Challenges and Opportunities -- Pedestrian Speed Prediction Using Feed Forward Neural Network -- Arabic Text Classification using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect.
    Abstract: This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies’ image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.
    DOI: 10.1007/978-3-031-17576-3
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  • 19
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    2021 International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031054914
    Language: English
    Pages: 1 Online-Ressource(XVIII, 398 p. 150 illus., 107 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Smart Innovation, Systems and Technologies 314
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Artificial intelligence. ; Big data. ; Engineering mathematics. ; Engineering
    Abstract: Reversible Data Hiding in Encrypted Image Based on MSB Inversion -- Comments on the Visual Binary QR Code -- NLP-based Hardware Solution for Censoring Audio on Over-the-top (OTT) Media Services -- Efficient Steganographic Method Based on Modulo Cube -- Reversible Data Hiding Based on Bidirectional Generalized Integer Transform -- An RFID Ownership Transfer based on Multiple Owners with Different Weights -- Fuzzy C-Means based Feature Selection Mechanism for Wireless Intrusion Detection -- Real Time Drowsiness Detection Based on Facial Dynamic Features -- Collision Avoidance in Crowded Zone using Adversarial Reinforcement Learning -- Reconfigurable PM2.5 Sensor Green Deployment Mechanism Based on Blockchain Technology.
    Abstract: This book aims to attract researchers and practitioners who are working in information technology and computer science. This edited book is about basics and high-level concepts regarding blockchain technology and application, multimedia security, information processing, security of network, cloud and IoT, cryptography and information hiding, cyber-security and evidence investigations, and learning and intelligent computing. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure, and privacy-aware mechanisms in high-performance computing and IoT applications. The book serves as a useful guide for industry persons and also helps beginners to learn things from basic to advance in the area of better computing paradigm. Our aim is intended to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results in security-related areas. We believe that this book not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.
    DOI: 10.1007/978-3-031-05491-4
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  • 20
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    Big Data, Cloud Computing, and Data Science Engineering (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031196089
    Language: English
    Pages: 1 Online-Ressource(XII, 185 p. 76 illus., 60 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Computational Intelligence 1075
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Research on Development of Sponsorship Effect Analysis Module Using Text Mining Technique -- A Study on the Relationship between ESG News Keywords and ESG Ratings -- Development of Associated Company Network Visualiza-tion Techniques using Company Product and Service In-formation – Using Cosine Similarity Function -- Hybrid CNN-LSTM based time series data prediction model study -- A Study on Predicting Employee Attrition Using Machine Learning -- A study on the Intention to continue using a Highway Driving assistance (HDA) system based on Advanced Driver Assistance System (ADAS) -- Security Policy Deploying System for Zero Trust Environment -- TTY Session Audit Techniques for Linux Platform1 -- A Study on the Role of Higher Education and Human Re-sources Development for Data Driven AI Society -- The Way Forward for Security Vulnerability Disclosure Policy: Comparative Analysis of US, EU, and Nether-lands -- Study on Government Data Governance Framework: based on the National Data Strategy in the US, the UK, Australia, and Japan -- A Study on the Attack Index Packet Filtering Algorithm Based on Web Vulnerability -- Analysis of IoT research topics using LDA Modeling -- Log4j Vulnerability Analysis and Detection Pattern Pro-duction Technology based on Snort Rules -- A Study on Technology Innovation at Incheon International Airport: Focusing on RAISA.
    Abstract: This book presents scientific results of the 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2021) which was held on August 4-6, 2022 in Danang, Vietnam. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. All aspects (theory, applications, and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here in the results of the articles featured in this book. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 15 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.
    DOI: 10.1007/978-3-031-19608-9
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  • 21
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    Serverless Computing: Principles and Paradigms (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031266331
    Language: English
    Pages: 1 Online-Ressource(X, 316 p. 64 illus., 40 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 162
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Cooperating objects (Computer systems). ; Computational intelligence. ; Big data. ; Artificial intelligence. ; Internet programming. ; Engineering
    Abstract: Serverless Computing: New Trends and Future Directions -- Punching Holes in the Cloud: Direct Communication Between Serverless Functions -- Hybrid Serverless Computing: Opportunities and Challenges -- A Taxonomy of Performance Forecasting Systems in the Serverless Cloud Computing Environments -- Open-Source Serverless for Edge Computing: A Tutorial -- Accelerating and Scaling Data Products With Serverless -- QoS Analysis for Serverless Computing using Machine Learning -- A Blockchain-Enabled Serverless Approach for IoT Healthcare Applications -- Cost Control and Efficiency Optimization in Maintainability Implementation of Wireless Sensor Networks based on Serverless Computing -- Scheduling Mechanisms in Serverless Computing -- Serverless Cloud Computing: State of the Art and Challenges.
    Abstract: This book explores how advances in graphic processing units (GPUs), programmable logic devices (TPUs), and field-programmable gate arrays have altered the serverless computing landscape (FPGAs). Distributed system architectures and implementations have undergone significant changes due to the popularity of serverless computing. Making and releasing product applications, doing market research, and maintaining customer interactions might all benefit from the reduced infrastructure expenses made possible by serverless computing. This book is a great resource for teachers and students interested in learning more about serverless computing. Some of the main questions surrounding serverless technology, such as scalability and performance distribution, are answered. Concepts and fundamentals of computing performance such as cost-free operation, good time and resource management, fairness, and interoperability are discussed. Serverless is at the forefront of this shift, which has made data-intensive, distributed applications, and open-source platforms essential for any modern computer to function. Data-centric queuing, real-time logging and monitoring, querying, and alarms are all examples of serverless services.
    DOI: 10.1007/978-3-031-26633-1
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  • 22
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    Cutting-Edge Business Technologies in the Big Data Era : Proceedings of the 18th SICB “Sustainability and Cutting-Edge Business Technologies” Volume 2 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031424557
    Language: English
    Pages: 1 Online-Ressource(X, 428 p. 108 illus., 77 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 136
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Big data. ; Computational intelligence.
    Abstract: Predicting Obstructive Sleep Apnea Using Deep Learning Algorithms -- On-site Recycling of the Construction Demolition Wastes: Feasibility and Sustainability -- Exploratory Data Analysis of Big Data on Semiconductor Industry -- Capturing the Sectoral Performance in Swiss Economy: An Input-output Structural Decomposition Analysis (SDA) -- Sustainability In Conjunction with The Latest Business Technology Advancements -- Sustainability reporting adoption in Jordanian listed firms: Does corporate social responsibility matter? -- Economic Convergence in the Spanish Regions: the Role of the European Funds and the Transport Infrastructure Endowment (1989-2017) -- Analysis of learning outcomes of the online classes and their impact on the quality of learning at the Powiślański University, Poland -- Artificial intelligence for easing financial analyses -- The Impact of E-Government and Size on Corruption:An Empirical Study on Jordan -- The Bitcoin Market and Post Covid-19: Empirical Evidence from Asian countries -- Maximizing Financial Performance and Sustainability through Innovative Dividend Policies: Evidence from Emerging Market -- Loss of Economic Returns for Not Investing in Green Residential Buildings in the Kurdistan Region of Iraq: A Sustainable Perspective -- The reaction of accounting professionals to the changes caused by the impact of digitalization -- Cutting-edge Technology and Blockchain: A Bibliometric Analysis (2017-2022) -- The Nexus of Intellectual Capital and Firm Performance: Evidence from Jordanian Pharmaceutical Companies -- Trends in the development of information and communication technology indicators and their impact on the sustainable development of the United Arab Emirates for the period 2000-2022 -- The Cultural and Social Impact of Artificial Intelligence on Islamic law Standard: A fundamental Purposeful Study -- Cost Efficient IoT as Wearable Device in E-Health Monitoring System for Elderly People -- Sustainable Business Excellence Through Digitalisation: From an Educational and Businesses point of view -- The Impact of Sustainable Supply Chain Management on the Environmental Performance of Jordan's Construction Organizations -- Challenges Facing Underdeveloped Countries in Implementing Cutting-edge AI Technology -- Maximizing Business Potential: A Framework for Implementing Prescriptive Analytics -- Influence Of Artificial Intelligence On Quality Of Ais Outcomes: Moderating Role Of Accountants' Experience -- The Impact of Sustainability Principles on Organizational Commitments and the mediating effect of digital transformation process -- Artificial Intelligence and Digital Marketing in Jordan: Opportunities and Challenges -- The Role of IT Readiness, Big Data, and Blockchain Technology in Fostering Innovation and Social Sustainability within UAE Banking Sector: A Comprehensive Analysis -- The Mediating Role of Green Supply Chain Management in the Relationship between Green Human Resource Management Practices and Entrepreneurial Performance -- Consumers’ Adoption of E-Wallet Services in Jordan: Mediating Effect of Perceived Usefulness -- Corporate Governance and Sustainability Development Goals: Boeing Case Study -- The Impact of Predictive Analytics and AI on Digital Marketing Strategy and ROI -- PMT and Mobile Payment Continuance Intention: The Moderating Influence of Digitalization Anxiety -- The Impact of AI and the Internet of Things on Healthcare Delivery -- Legal Problems of the Intervention of Artificial Intelligence in the Medical Field: Obligations and Challenges -- Consumer Adoption of e-Payment Services Using the Theory of Planned Behavior.
    Abstract: This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies?
    DOI: 10.1007/978-3-031-42455-7
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  • 23
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    Supply Chain Performance Evaluation : Application of Data Envelopment Analysis (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031282478
    Language: English
    Pages: 1 Online-Ressource(XIV, 442 p. 89 illus., 50 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 122
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Business logistics. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Supply Chain Management -- Performance Evaluation of Supply Chain Management -- Main models and approaches in supply chain evaluation -- Supplier Performance Evaluation Models -- Examining supply chain crises and disruptions -- Data Envelopment Analysis -- Supplier selection.
    Abstract: The authors of this book tried to make these experiences available to those interested, considering the experience of several years of training, research, and implementation of projects in the supply chain performance evaluation field. This book intends to identify the current performance and competitive position of that supply chain compared to other supply chains by presenting and reviewing the techniques and models for measuring the efficiency and performance of the supply chain. Determining the performance of a supply chain is a good description of the status quo (what is). Determining the performance of a supply chain is useful for describing the past and present of supply chain processes, and on the other hand, it can be used to set performance goals and initiate the improvement process. To realize this, a strategic framework or model is needed to be able to extract indicators related to the efficiency of the supply chain and design the appropriate model. .
    DOI: 10.1007/978-3-031-28247-8
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  • 24
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    Applied Data Science : Data Translators Across the Disciplines (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031299377
    Language: English
    Pages: 1 Online-Ressource(XII, 190 p. 51 illus., 43 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 125
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Translating science into actionable policy information – a perspective on the IPCC process -- Data in Observational Astronomy -- On Becoming a Data-Scientist , Beyond Translation: Discovering Best Practices for Evidence-Informed Decision Making for Public Health Practices -- Concern for self-health during the COVID-19 pandemic in Canada: How to use quantitative data to tell an intersectional story?- Community-based participatory research and respondent-driven sampling: A statistician’s, community partner’s and students’ perspectives on a successful partnership.
    Abstract: The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions, presenting an interdisciplinary collection of edited contributions across fields such as education, health sciences, natural sciences, politics, economics, business and management studies, social sciences, and humanities. Authors illustrate how to use data within a discipline, including visualization and analysis, translating and communicating results, and pedagogical considerations. This book is of interest to scholars and anyone looking to understand the use of data science across disciplines. It is ideal in a course for non-data science majors exploring how data translation occurs in various contexts and for professionals looking to engage in roles requiring data translation.
    DOI: 10.1007/978-3-031-29937-7
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  • 25
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    The Future of Metaverse in the Virtual Era and Physical World (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031291326
    Language: English
    Pages: 1 Online-Ressource(VIII, 265 p. 83 illus., 75 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 123
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Development of Cognitive Intelligent Mechanism for Sustainability of Bigdata: A Future Shape of Metaverse -- Towards 3D Virtual Dressing Room Based User-Friendly Metaverse Strategy -- Metaverse for Brain Computer Interface: Towards New and Improved Applications -- The Future of Metaverse in the Virtual Era and Physical World: Analysis and applications -- The Use of Metaverse in the Healthcare Sector: Analysis and Applications -- The ethics of the Metaverse and Digital Virtual Environments: the Metavethics.
    Abstract: This book is divided into three parts. The first part discusses the Metaverse's basics, development, and optional applications such as 3D virtual dressing room-based user-friendly Metaverse, the use of Metaverse in the healthcare and environment sectors as well as the ethics of the Metaverse and digital virtual environments. Part two presents some chapters that discuss emerging technologies in the Metaverse world including IoT, digital twining, and artificial intelligence and shows its impact on climate change. The third part contains chapters discussing cybersecurity in the Metaverse including blockchain technology opportunities and applications and the threat of the digital humanities in the Metaverse. The book is suitable for students and academics aiming to build up their background on the Future of the Metaverse in the Virtual Era and Physical World. .
    DOI: 10.1007/978-3-031-29132-6
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  • 26
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    Introduction to Bayesian Tracking and Particle Filters (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031322426
    Language: English
    Pages: 1 Online-Ressource(VI, 118 p. 58 illus., 53 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 126
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Statistics . ; Big data. ; Engineering
    Abstract: Introduction -- Bayesian Single Target Tracking -- Bayesian Particle Filtering -- Simple Multiple Target Tracking -- Intensity Filters.
    Abstract: This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers. The book presents the basic concepts of Bayesian inference and demonstrates the power of the Bayesian method through numerous applications of particle filters to tracking and smoothing problems. It emphasizes target motion models that incorporate knowledge about the target’s behavior in a natural fashion rather than assumptions made for mathematical convenience. The background provided by this book allows a person to quickly become a productive member of a project team using Bayesian filtering and to develop new methods and techniques for problems the team may face.
    DOI: 10.1007/978-3-031-32242-6
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    Cutting-Edge Business Technologies in the Big Data Era : Proceedings of the 18th SICB “Sustainability and Cutting-Edge Business Technologies” Volume 1 (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031424632
    Language: English
    Pages: 1 Online-Ressource(X, 358 p. 70 illus., 49 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 135
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Big data. ; Computational intelligence.
    Abstract: Bagging vs Boosting ensemble classifiers in predicting companies' financial status -- The Effect of Automated Teller Machines and Broadband on Bank Profitability: Evidence from Southeast -- Business Sustainability in Hypercompetitive Contexts -- On the Dependence of Drop-Out Rates on Cohort Size in Public Universities -- Digitalization of Sustainability Reporting - Current Trends and Future Problems -- An Empirical Study of the Effect of Enterprise Resource Planning System on Tobin's Q -- The Role of User Engagement and Instagram Influencer in a Corporate SNS Account -- Toward an Understanding of Cutting-Edge Technologies in Financial Industry: Cryptocurrency Adoption -- Smart Contracts and Blockchain-based Tools for Privacy-Preservation -- Digital CSR and corporate sustainability moderated by perceived technological environmental uncertai -- Impact of Dynamic Capabilities and Organizational Agility on the Competitive Performance: The Mediating Role of Organizational Learning -- Industry 4.0 technologies and environmental performance: The moderating effect of coercive power -- Women empowerment in the age of social commerce: An empirical study -- Cutting-Edge Business Technology Which Creates Business Disruption While Supporting the Sustainable Development Goals of the United Nations -- Applying the Stimulus-Organism-Response Framework to Investigate Influencer Attributes on the Intention to Purchase Electric Vehicles -- Using Business Intelligence Tools in Accounting Education -- The Role of Green Banking in Achieving Sustainable Development -- Betting the bottom dollar on ESGs impacts long-term market value. The case of European energy firms -- The Impact of Cash Liquidity on the Sustainability of Corporate Financial Growth -- Adopting Smart Systems and its Impact on Reducing Work Exhaustion: An Exploratory Study -- The Potential Role of Blockchain Technology in Addressing Development Challenges in Developing Count -- Intellectual Capital and Sustainable Competitive Advantage: The Mediating Role of Marketing Knowledg -- Evaluation of the Water Retention Capacity of a Pioneering Sustainable Liquid Natural Clay -- In the Big Data Era The Impact of orthodontic treatment on the periodontal health -- A Systematic Review of Green Economy and Energy Efficiency Nexus -- Artificial Intelligence Applicability in Orthodontics: Quo Vadis Orthodontics? -- Circular Economy Practices in Higher Education Institutions: Towards a Sustainable Development -- The Mediating role of Green Disclosures on the relationship between Sustainability and Financial Per -- Big data analytics and sustainability accounting and reporting: Evidence from Canada -- Perceived Service Quality of Mobile Banking and Co-Creation Intention -- Influence of Data-Driven Digital Marketing Strategies on Organizational Marketing Performance: Media -- Environmental Performance Index and GDP growth rate relationship in emerging countries in Europe.
    Abstract: This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies?
    DOI: 10.1007/978-3-031-42463-2
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    Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031383250
    Language: English
    Pages: 1 Online-Ressource(IX, 605 p. 296 illus., 244 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 132
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Cluster Analysis using k-means in school dropout -- Topic modeling based on OWA aggregation to improve the semantic focusing on relevant information extraction problems -- An Affiliated Approach to Data Validation: The US 2020 Governor’s County Election -- Acquisition, Processing and Visualization of Meteorological Data in Real-Time using Apache Flink -- Topological Data Analysis for the evolution of student grades before, during and after the COVID-19 pandemic -- Redescending M-Estimators analysis on the Intuitionistic Fuzzy clustering algorithm for skin lesion delimitation -- Big Data Platform as a Service for Anomaly Detection -- An overview of model-driven and data-driven forecasting methods for smart transportation -- Data augmentation techniques for facial image generation: a brief literature review -- A review on machine learning-aided multi-omics data integration techniques for healthcare -- Learning of Conversational Systems based on Linguistic Data Summarization applications in BIM environments -- Fuzzified case-based reasoning blockchain framework for predictive maintenance in Industry 4.0 -- Machine learning for identifying atomic species from optical emission spectra generated by an atmospheric pressure non-thermal plasma -- Agent-based simulation: various scenarios -- Multi-Hop Ridesharing ∈ NPC -- A content-based group recommender system using feature weighting and virtual users aggregation -- Performance Evaluation of AquaFeL-PSO Informative Path Planner under Different Contamination Profiles -- Adapting Swarm Intelligence to a Fixed Wing Unmanned Combat Aerial Vehicle Platform -- Cellular Processing Algorithm for Time Dependent-Traveling Salesman Problem -- Portfolio Optimization using Reinforcement Learning and Hierarchical Risk Parity Approach -- Reducing recursion costs in last-mile delivery routes with failed deliveries -- Intelligent Decision-Making Dashboard for CNC Milling Machines in Industrial Equipment: A Comparative Analysis of MOORA and TOPSIS Methods.
    Abstract: In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.
    DOI: 10.1007/978-3-031-38325-0
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    Advances in Internet, Data & Web Technologies : The 11th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2023) (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031262814
    Language: English
    Pages: 1 Online-Ressource(XIII, 523 p. 221 illus., 150 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 161
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: Data Integration in Practice: Academic Finance Analytics Case Study -- Proposal of an Aquarium Design Support Virtual Reality System -- The Source Code Maintenance Time Classifications from Code Smell -- Evolution Analysis of R&D Jobs Based on Patents’ Technology Efficacy Labeling -- The Model of Improving the Quality of Government Financial Reporting -- Fuzzy Mean Clustering Analysis Based on Glutamic Acid Fermentation Failure -- Mustahik Micro Business Incubation in Poverty Alleviation -- Schemes for a Transient Eddy-current Problem On an Unbounded Area -- Zakat Management Model Based on ICT -- Teaching Method of Advanced Mathematics combining PAD Classroom with ADDIE Model -- A Kind of Online Game Addictive Treatment Model about Young Person -- Research on E-commerce Customer Value Segmentation Model Based on Network Behavior -- Blockchain Applications for Mobility-as-a-Service Ecosystem: A Survey -- Construction of a Fully Homomorphic Encryption Scheme with Shorter Ciphertext and its Implementation on the CUDA Platform -- Traffic-oriented Shellcode Detection Based on VSM -- Supply Chain Finance Mediates The Effect of Trust and Commitment on Supply Chain Effectiveness.
    Abstract: This book presents original contributions to the theories and practices of emerging Internet, data, and web technologies and their applicability in businesses, engineering, and academia. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two most prominent paradigms, in a variety of forms such as data centers, cloud computing, mobile cloud, mobile web services, and so on. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. As a key feature, it addresses advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Researchers, software developers, practitioners, and students interested in the field of data and web technologies find this book useful and a reference for their activity.
    DOI: 10.1007/978-3-031-26281-4
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    Analysing Web Traffic : A Case Study on Artificial and Genuine Advertisement-Related Behaviour (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031325038
    Language: English
    Pages: 1 Online-Ressource(XX, 156 p. 95 illus., 90 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 127
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    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data. ; Engineering
    Abstract: The problem and its key characteristics -- The pragmatics of the data acquisition and assessment -- The proper representation: patterns, variables and their analysis -- Clustering analysis -- Building the classifiers -- The hybrid cluster-and-classify approach -- A summary view of the problem and its solution.
    Abstract: This book presents ample, richly illustrated account on results and experience from a project, dealing with the analysis of data concerning behavior patterns on the Web. The advertising on the Web is dealt with, and the ultimate issue is to assess the share of the artificial, automated activity (ads fraud), as opposed to the genuine human activity. After a comprehensive introductory part, a full-fledged report is provided from a wide range of analytic and design efforts, oriented at: the representation of the Web behavior patterns, formation and selection of telling variables, structuring of the populations of behavior patterns, including the use of clustering, classification of these patterns, and devising most effective and efficient techniques to separate the artificial from the genuine traffic. A series of important and useful conclusions is drawn, concerning both the nature of the observed phenomenon, and hence the characteristics of the respective datasets, and the appropriateness of the methodological approaches tried out and devised. Some of these observations and conclusions, both related to data and to methods employed, provide a new insight and are sometimes surprising. The book provides also a rich bibliography on the main problem approached and on the various methodologies tried out.
    DOI: 10.1007/978-3-031-32503-8
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    Innovations in Machine and Deep Learning : Case Studies and Applications (2023)
    Cham : Springer Nature Switzerland | Cham : Imprint: Springer
    Details
    ISBN: 9783031406881
    Language: English
    Pages: 1 Online-Ressource(IX, 514 p. 196 illus., 159 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 134
    Parallel Title: Erscheint auch als
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and leaders. This book presents numerous successful applications of AI in various contexts. The innovative implications covered fall under the general field of machine learning (ML), including deep learning, decision-making, forecasting, pattern recognition, information retrieval, and interpretable AI. Decision-makers and entrepreneurs will find numerous successful applications in health care, sustainability, risk management, human activity recognition, logistics, and Industry 4.0. This book is an essential resource for anyone interested in challenges, opportunities, and the latest developments and real-world applications of ML. Whether you are a student, researcher, practitioner, or simply curious about AI, this book provides valuable insights and inspiration for your work and learning.
    DOI: 10.1007/978-3-031-40688-1
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    Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis (2023)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031431814
    Language: English
    Pages: 1 Online-Ressource(XIV, 180 p. 32 illus., 29 illus. in color.)
    Edition: 1st ed. 2023.
    Series Statement: Studies in Big Data 138
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    Keywords: Engineering ; Computational intelligence. ; Big data.
    Abstract: Relationship between DEA models without explicit inputs and DEA-R models -- Finding efficient surfaces in DEA-R models -- Cost and revenue efficiency in DEA-R models -- A Novel Slack-Based Model for Efficiency and Super-efficiency in DEA-R -- A Multi-Criteria Ratio-Based Approach for Two-Stage Data Envelopment Analysis -- A novel network DEA-R model for evaluating hospital services supply chain performance -- A novel inverse DEA-R model for inputs/output estimation -- Evaluation of Two-Stage Networks based on Average Efficiency Using DEA and DEA-R with Fuzzy Data -- Stochastic network DEA-R models for two-stage systems.
    Abstract: The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency, ranking DMUs, and finding efficient faces. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs. The audience of this book is not limited to researchers in mathematics fields, but experts and students in industrial engineering and management fields also benefit from the topics of this book.
    DOI: 10.1007/978-3-031-43181-4
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    Insurance and Human Rights (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030827045
    Language: English
    Pages: 1 Online-Ressource(IX, 262 p.)
    Edition: 1st ed. 2022.
    Series Statement: AIDA Europe Research Series on Insurance Law and Regulation 5
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
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    Keywords: Private international law. ; Conflict of laws. ; International law. ; Comparative law. ; Human rights. ; Financial services industry. ; Civil rights. ; European communities. ; Big data. ; Commercial law. ; European Economic Community.
    Abstract: Part I - Insurance and the right to equal treatment -- Discrimination Bans and Insurance Law -- Discrimination in the Context of Parametric Insurance -- Insurance and Discrimination in Canadian Law -- Part II – Insurance and the right to health -- Health Reinsurance as a Human Right -- The role of cooperatives and mutual health organizations in the extension of universal health insurance in Africa -- Part III – Insurance and the right to privacy -- Big Data, Privacy and the Protection of the User of Autonomous Vehicles: Ethical Issues, Insurance Aspects and Human Rights -- GDPR and processing of health data in insurance contracts: opening a can of worms? -- Part IV – Insurance and the right to life -- Gambling on My Life and My Right to Live.
    Abstract: This volume examines the impact of and interplay between human rights and insurance. National, supranational and international legal instruments regulating the taking-up and pursuit of the business of insurance and reinsurance, (re)insurance distribution and the insurance contract often refer to or impact on human or fundamental rights. Courts are often faced with the sometimes seemingly impossible task of reconciling insurance core principles, practices and mind-sets with the principles and values stemming from human rights protection. In some cases, such as that of discrimination in insurance, this discussion has been going on for decades. Some deal with hot topics which have more recently emerged in light of developments stemming from technologic innovations (‘InsurTech’). The first part of the book focuses on insurance and the right to equal treatment. Discrimination on the basis of factors such as gender or age is tackled, from the perspectives of the European Union, Canada and South Africa. The second part of the book highlights the very relevant role played by insurance in the upholding of the right to health, covering the United States of America, Africa and Brazil. The third part of the book explores InsurTech's manifold challenges upon the right to privacy, focusing on European Union. The fourth part tackles the threat posed by insurance on the right to life in general, but with a particular focus on the United Kingdom. Written by legal scholars and practitioners, the book offers international, comparative and regional or national perspectives, aiming to contribute to a more thorough and systematic understanding of the interactions between these two very different fields of law, providing the industry as well as the scientific community with insights from both sides of this seemingly difficult to transpose divide.
    DOI: 10.1007/978-3-030-82704-5
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    Law and Technology in a Global Digital Society : Autonomous Systems, Big Data, IT Security and Legal Tech (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030905132
    Language: English
    Pages: 1 Online-Ressource(VIII, 377 p.)
    Edition: 1st ed. 2022.
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
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    Keywords: Information technology—Law and legislation. ; Mass media—Law and legislation. ; Computers—Law and legislation. ; Big data. ; Business information services.
    Abstract: Part 1: Artificial Intelligence -- Legal Framework for AI -- “Moralizing Technology” and Criminal Law theory -- Liability for AI -- Machine Learning decision-making: when algorithms can make decisions according to the GDPR -- Algorithmic Suspicion in the Era of Predictive Policing -- Part 2: Data Protection -- The Fundamental Right to Data Protection of Blockchain Users seen through the Applicability of the GDPR -- The insurmountable trade-off: Efficiency vs. Human Rights in the area of AI -- Virtual Personal Assistants and European data Protection Law. GDPR & E-Privacy-Reg -- GDPR compliance for East European non-EU companies -- Part 3: IT Security -- IT Security measures and their impact on data protection -- The Legal Framework for IT Security in the “Industry 4.0” -- The Role of Criminal Law in Regulation Cybercrime and IT Security -- Phishing in Online Banking – an OverviewInternet of Things and Consumers’ Privacy in a Brazilian perspective: Cybervulnerability and Dialogue of sources -- Part 4: Legal Tech. LegalTech and computational legal Theory -- Smart Contracts in Civil Law Countries: Legislative Analysis and Perspectives of Regulation -- Crowdsourcing as a Means for Participatory Legislation.
    Abstract: This book examines central aspects of the new technologies and the legal questions raised by them from both an international and an inter-disciplinary perspective. The technology revolution and the global networking of IT systems pose enormous challenges for the law. Current areas of discussion relate to autonomous systems, big data and issues surrounding legal tech. Ensuring data protection and IT security as well as the creation of a legal framework for the new technology as a whole can only be achieved through international and inter-disciplinary co-operation. The team of authors is made up of experienced, internationally renowned experts as well as young researchers and professionals who give valuable insights from numerous different jurisdictions. This book is written for jurists and those responsible for technology in public authorities and companies as well as practising lawyers and researchers.
    DOI: 10.1007/978-3-030-90513-2
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    The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 1 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030895082
    Language: English
    Pages: 1 Online-Ressource(XXI, 1154 p. 337 illus., 190 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 97
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Computer engineering. ; Internet of things. ; Embedded computer systems. ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: Application of Artificial Intelligence in Arrangement Creation -- Automatic Segmentation for Retinal Vessel Using Concatenate UNet++ -- Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition -- Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development -- Influence of RPA Financial Robot on Financial Accounting and its Countermeasures -- Application of Artificial Intelligence Technology in English Online Learning Platform -- Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine -- Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era -- Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field -- Default Risk Prediction Based on Machine Learning under Big Data Analysis Technology -- Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System -- Application of 3D Computer Aided System in Dance Creation and Learning -- Data Selection and Machine Learning Algorithm Application under the Background of Big Data. .
    Abstract: This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
    DOI: 10.1007/978-3-030-89508-2
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    Trends and Future Directions in Security and Emergency Management (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030889074
    Language: English
    Pages: 1 Online-Ressource(XI, 403 p. 79 illus., 41 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 257
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Data protection. ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: Science on Safety and Security in Interdisciplinary and Multidisciplinary Discipline -- Concept of Science on Safety and Security -- Theoretical Concepts Related to the Local Public Order Affairs Studies.
    Abstract: This book aims to inform about the current empirical results of the work of experts in the field security and emergency management and risk management in connecting science, theory and practice in various fields related to security management and emergency management. The chapters present research work and case studies from international, state as well as regional levels. The book is divided into five sections, which deal with Safety and Security Science, Security and Emergency managment, Threats and Risks, Cyber Risks and Extraordinary Event, Preparation and Solutions. The book is intended primarily for scientific communities established in security sciences, theorists and experts working in various positions and levels of security organizations, universities with specializations in security studies, but also for the expert public interested in security issues or entities directly responsible for security and emergency management.
    DOI: 10.1007/978-3-030-88907-4
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    AI and IoT for Sustainable Development in Emerging Countries : Challenges and Opportunities (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030906184
    Language: English
    Pages: 1 Online-Ressource(XIV, 642 p. 289 illus., 227 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 105
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Engineering—Data processing. ; Big data. ; Artificial intelligence.
    Abstract: Achieving Sustainable Development Goals Through Digital Infrastructure for Intelligent Connectivity -- Implementation of Intelligent Iot -- Cyber Security Challenges for Smart Cities -- Efficient Machine Learning Technique for Early Detection of Iot Botnets -- Ai-Based Smart Robot for Restaurant Serving Applications -- A Novel Deep Learning Architecture Based Iot Time-Series for Energy Consumption Forecasting in Smart Households -- Performances of Cpv Optics in Morocco -- Artificial Intelligence Based on Particle Swarm Optimization for Optimal Wind Turbine Power Control Using Doubly Fed Induction Generator -- A Comparative Study Between Narx And Lstm Models in Predicting Ozone Concentrations: Case of Agadir City (Morocco) -- Spatiotemporal Prediction of Pm2.5 Concentrations Based on Iot Sensors: A Case of Study in Taiwan -- Comparative Study Between Different Recommendation Systems in Smart Agriculture -- Configuration Security for Sustainable Digital Twins of Industrial Automation And Control Systems in Emerging Countries -- An Empirical Investigation on Lean Method Usage: Issues And Challenges in Afghanistan -- Optimization of the Effects Oscillation Welding: Sinusoidal and Triangular Beam During Laser Beam Welding of 5052-H32 Aluminum Alloy.
    Abstract: This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in a large pool of fields where AI and IoT can open up new horizons. Artificial intelligence and Internet of Things have introduced themselves today as must-have technologies in almost every sector. Ranging from agriculture to industry and health care, the scope of applications of AI and IoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. AI and IoT for Sustainable Development in Emerging Countries—Challenges and Opportunities is an invaluable source to dive into the latest applications of AI and IoT and how they have been used by researchers from emerging countries to solve sustainable development-related issues by taking into consideration the specifities of their countries. This book starts by presenting how AI and IoT can tackle the challenges of sustainable development in general and then focuses on the following axes: · AI and IoT for smart environment and energy · Industry 4.0 and intelligent transportation · A vision towards an artificial intelligence of medical things · AI, social media, and big data analytics. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in these particular areas or those interested in grasping its diverse facets and exploring the latest advances on their respective fields and the role of AI and IoT in them.
    DOI: 10.1007/978-3-030-90618-4
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    Blockchain and Deep Learning : Future Trends and Enabling Technologies (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030954192
    Language: English
    Pages: 1 Online-Ressource(X, 349 p. 156 illus., 122 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 105
    Parallel Title: Erscheint auch als
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    Keywords: Engineering—Data processing. ; Cooperating objects (Computer systems). ; Computational intelligence. ; Big data.
    Abstract: ShareCert: Sharing and Authenticating Certificates and Credentials on Blockchain -- Prospects of Semantic Web and Blockchain technologies in Libraries -- Scalability Analysis of Proof-of-Work based Blockchain -- Smart Contract: A Way to Modern Digital World -- Decentralized Public Distribution System on the Ethereum Blockchain interact with MyEtherWallet.
    Abstract: This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead.
    DOI: 10.1007/978-3-030-95419-2
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    Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 2 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031103858
    Language: English
    Pages: 1 Online-Ressource(XVIII, 827 p. 155 illus., 108 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 145
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Big data.
    Abstract: Advancement of Enterprise Resource Planning, Environmental Management, and Health and Hygiene Based on the Sixteenth ICMSEM Proceedings -- Impact of Organizational Justice on Knowledge Employees’ Creativity: Mediated by Organizational Commitment -- Research on the Influence of Excess Perks on Firm Value: Based on the Perspective of Life Cycle Theory -- Does Family Business Succession Influence Corporate Misconduct? -- How Developmental HR Practices Enhance Employee Taking Charge Behavior: The Mediating Role of Psychological Empowerment and the Moderating Role of Authentic Leadership -- The Impact of Green Cross-Border M&A on Environmental Performance of Manufacturing companies: An Empirical Study in China -- The Identification of Key Factors Affecting Cost Estimation in the Phase of Construction Investment -- Directors’ and Officers’ Liability Insurance and Agency Costs–Based on the Relationship Between Internal and External Governance -- Research on Green Bond Financing and Corporate Performance: A Moderated Mediation Model -- Research on the Correlation among Forest Certification, Enterprise Reputation and Enterprise Value -- The Influence of Changing Emission Charge into Environmental Tax on Firms’ Real Earnings Management -- CSR Disclosure, Financing Constraints and the Mediating Role of Institutional Investors: Evidence from China -- Impact of Seniority on Corporate Innovation: Evidence from China.
    Abstract: This book covers many hot topics, including theoretical and practical research in many areas such as dynamic analysis, machine learning, supply chain management, operations management, environmental management, uncertainty, and health and hygiene. It showcases advanced management concepts and innovative ideas. The 16th International Conference on Management Science and Engineering Management (2022 ICMSEM) will be held in Ankara, Turkey during August 3-6, 2022. ICMSEM has always been committed to promoting innovation management science (M-S) and engineering management (EM) academic research and development. The book provides researchers and practitioners in the field of Management Science and Engineering Management (MSEM) with the latest, cutting-edge thinking and research in the field. It will appeal to readers interested in these fields, especially those looking for new ideas and research directions.
    DOI: 10.1007/978-3-031-10385-8
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    Security and Privacy Preserving for IoT and 5G Networks : Techniques, Challenges, and New Directions (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030854287
    Language: English
    Pages: 1 Online-Ressource(XI, 278 p. 101 illus., 76 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 95
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Cooperating objects (Computer systems). ; Computational intelligence. ; Big data.
    Abstract: Authentic QR codes for Traceability and Tamper Detection in IoT Enabled Waste Management Networks -- Data Security Challenges in Deep Neural Network for Healthcare IoT Systems -- Efficacious Data Transfer Accomplished by Trustworthy Nodes in Cognitive Radio -- A Multi-fusion IoT Authentication System Based on Internal Deep Fusion of ECG signals -- Overview of information hiding algorithms for ensuring security in IoT based cyber-physical systems -- Survey on Mobile Edge-Cloud Computing: A Taxonomy on Computation offloading Approaches.
    Abstract: This book presents state-of-the-art research on security and privacy- preserving for IoT and 5G networks and applications. The accepted book chapters covered many themes, including traceability and tamper detection in IoT enabled waste management networks, secure Healthcare IoT Systems, data transfer accomplished by trustworthy nodes in cognitive radio, DDoS Attack Detection in Vehicular Ad-hoc Network (VANET) for 5G Networks, Mobile Edge-Cloud Computing, biometric authentication systems for IoT applications, and many other applications It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on security and privacy- preserving for IoT and 5G networks. .
    DOI: 10.1007/978-3-030-85428-7
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    The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021) (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030843373
    Language: English
    Pages: 1 Online-Ressource(XI, 175 p. 66 illus., 38 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 309
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Big data.
    Abstract: Chapter 1: This book covers machine learning and time series, blockchain technologies and applications, data security, deep learning and Internet of Thing -- Chapter 2: A three-step machine learning pipeline for detecting and explaining anomalies in the time series of industrial process plants -- Chapter 3: Detecting Phishing Websites using Neural Network and Bayes Classifier -- Chapter 4: A Blockchain Framework for On-demand Intermodal Interlining: Blocklining -- Chapter 5: Intersection of AI and Blockchain Technology: Concerns and Prospects.
    Abstract: The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes. This book includes a collection of research manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.
    DOI: 10.1007/978-3-030-84337-3
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    The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2021 Volume 2 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030895112
    Language: English
    Pages: 1 Online-Ressource(XX, 986 p. 280 illus., 190 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 98
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computer engineering. ; Internet of things. ; Embedded computer systems. ; Computational intelligence. ; Big data. ; Artificial intelligence.
    Abstract: Analysis of Sentiment Tendency of Tourists' Comments Based on Text Mining -- Analysis of Smart City Construction Based on 5G Data Technology -- Prediction of Stock Price Based on Artificial Intelligence Algorithm -- Variation Translation Strategy System of Intangible Cultural Heritage Based on Data Mining -- A Computer-aided Comparative Study on Grammatical Cohesion in Abstracts of Sci-tech Journal Papers by Chinese and American Scholars -- Computer Graphics and Image Software in Advertising Design -- Design and Research of Production Information Management System for Project Based Mechanical Manufacturing Enterprises -- Impact of Computer Network Technology on Regional Economic Development -- Chaos Algorithm of Electrical Control System Based on Neural Network Technology -- Pulse Signal Acquisition System Based on Match Pursuit Algorithm -- Data Analysis of Power System Engineering Construction Based on PPSO Algorithm -- Reactive Optimization of Power System Based on K-means Algorithm -- Design and Structure Analysis of Manipulator based on Acceleration Sensor -- Discussion on Decision Tree Algorithm in University Teaching Management System. .
    Abstract: This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
    DOI: 10.1007/978-3-030-89511-2
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    Recent Advances in Internet of Things and Machine Learning : Real-World Applications (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030901196
    Language: English
    Pages: 1 Online-Ressource(XXIV, 329 p. 138 illus., 117 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Intelligent Systems Reference Library 215
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Cooperating objects (Computer systems). ; Engineering—Data processing. ; Machine learning. ; Big data.
    Abstract: Concentration Level of Learner Using Facial Expressions On E-Learning Platform Using IoT-Based Pycharm Device -- IoT-based Machine learning system for Nutritional Ingredient Analyzer for Food -- A Secured Manhole Management System Using IoT and Machine Learning.
    Abstract: This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
    DOI: 10.1007/978-3-030-90119-6
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    Evaluation of Text Summaries Based on Linear Optimization of Content Metrics (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031072147
    Language: English
    Pages: 1 Online-Ressource(XV, 213 p. 57 illus., 11 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1048
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Big data.
    Abstract: Introduction -- Background of the ETS -- Fundamentals of the ETS -- State-of-the-art Automatic Evaluation Methods -- A Novel Methodology based on Linear Optimization of Metrics for the ETS -- Experimenting with Linear Optimization of Metrics for Single-document Summarization Evaluation -- Experimenting with Linear Optimization of Metrics for Multi-document Summarization Evaluation -- Conclusions and future considerations for the ETS.
    Abstract: This book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). The reader is first introduced to the background and fundamentals of the ETS. Afterward, state-of-the-art evaluation methods that require or do not require human references are described. Based on how linear optimization has improved other natural language processing tasks, we developed a new methodology based on genetic algorithms that optimize content metrics linearly. Under this optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration of directions in which automatic evaluation could be improved in the future. The information provided in this book is self-contained. Therefore, the reader does not require an exhaustive background in this area. Moreover, we consider this book the first one that deals with the ETS in depth.
    DOI: 10.1007/978-3-031-07214-7
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  • 45
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    Challenges and Solutions in the Digital Economy and Finance : Proceedings of the 5th International Scientific Conference on Digital Economy and Finances (DEFIN 2022), St.Petersburg 2022 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031144103
    Language: English
    Pages: 1 Online-Ressource (XIX, 587 p. 1 illus.)
    Series Statement: Springer Proceedings in Business and Economics
    Series Statement: Springer eBook Collection
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Financial engineering. ; Big data. ; Technological innovations. ; Business enterprises—Finance. ; Industries. ; Blockchain ; AI ; Big Data ; Financial Accounting ; Digitalization ; Transformation ; Covid-19 ; Pandemic ; Konferenzschrift
    Abstract: Chapter 1. Teaching Students Professionally Based Foreign Language Communication in the Era of Digitalization -- Chapter 2. Possibility of Digital Technology Use to Improve the Efficiency of Economic Entities Interaction -- Chapter 3. Mutual Investment Funds Under Financial Instability -- Chapter 4. International Legal and Economic Aspects of Regulation of Digital Technologies and Artificial Intelligence -- Chapter 5. Innovative Approach to Starting of Outsourcing Company -- Chapter 6. Implementability of a Process Approach to Strategic Management in the Conditions of Digitalization -- Chapter 7. Research on the Effects of "Deepfake" Technology for the Modern Digital Space -- Chapter 8. Innovative Capital as Difficult to Identify Factor of Production -- Chapter 9. Challenges in Professional Translation: Implications for Linguistic Education and the Modern Digital Economy -- Chapter 10. The Quality of the Digital Ecosystem in the Financial Sector -- Chapter 11. Human Potential in the Sustainable Development of Regions -- Chapter 12. Labour Resources Use in the National Economy: G7 and Russia Comparative Analysis -- Chapter 13. Formation of a Comprehensive "Tourism and Travel" Digital Platform in the Russian Federation -- Chapter 14. Promoting Film Tourism as a Marketing Promotion of Audiovisual Products in the Russian Media Market -- Chapter 15. Law in the Era of Digitalization -- Chapter 16. Teacher’s Identity in Online ESP and Music Education. Teacher’s Primus Inter Pares Factor -- Chapter 17. Economic Mechanism for Assessing the Efficiency of the Department as a Business Unit of a Higher Educational Institution -- Chapter 18. Digital Business Models in the Manufacturing Sector -- Chapter 19. Increasing of the Technological Cooperation Efficiency in the Context of Digitalization -- Chapter 20. Business Models Transformation in Light Industry in the Context of Digitalization -- Chapter 21. Constitutional Principles of Forming the Foundations of the Digital Economy in the Russian Federation -- Chapter 22. Optimization of Control in the Management of Transport Business Objects Using the Game Theory Methods -- Chapter 23. Regulatory Regulation of the Issue and Circulation of Digital Currencies in the Countries of the Modern World -- Chapter 24. Socio-economic Factors Determining the Genuine Savings -- Chapter 25. Translation in the Era of Digitalization: Slang Rendering in Tv Series -- Chapter 26. Some Aspects of the Introduction of the Digital Ruble into the Russian Economic and Legal Space -- Chapter 27. Three-dimensional Copy of a Three-dimensional Copy: Database of Estampages of Proto-Bulgarian Inscriptions -- Chapter 28. Development of Industry 4.0: a Practical Case Study from the Netherlands -- Chapter 29. The Transformation of Corporate Management Business Processes in the Context of the Digitalization of the National Economy -- Chapter 30. Business Models in Clothing Market: Value Proposal Specific -- Chapter 31. Assessment of the Impact of the Economy Digitalization on GRP Dynamics: The Regional Aspect -- Chapter 32. Impact of the ESG Principles on the Corporate Financial Strategy -- Chapter 33. Student' Attitude to Digital Entrepreneurship -- Chapter 34. Organizational-economic Mechanism for Monitoring University Activities Under the Conditions of Digitalization -- Chapter 35. Transformation of Financial Relations Under the Digital Economy in the Forest Industry -- Chapter 36. Artificial Intelligence Technologies in the Implementation of the E-navigation Concept -- Chapter 37. Application of Digital Simulation Models of Railway Transport Polygons -- Chapter 38. Development of a GIS Model "World Heritage" to Assess the Tourist and Recreational Potential of the Territory -- Chapter 39. World Labor Market: The Influence on State Economic Security -- Chapter 40. Financial Inclusion of Rural Areas in the Conditions of Digitalization: Studies in Europe and Russia -- Chapter 41. Evolution of Payment Instruments and Their Development in the Digital Economy -- Chapter 42. Electric Power Industry of Russia in the Transition to a Low-carbon Economy -- Chapter 43. Cryptocurrency Development in Russia -- Chapter 44. Mechanism for the Development of the National Digital Services Market -- Chapter 45. Silver Economy of a Megapolis: St. Petersburg Case Study -- Chapter 46. Digitalization of Electricity Suppliers' Activities in the Arctic Zone -- Chapter 47. The System of Mechanisms for Improving Russia's Industrial Policy While Expanding Industrial Network Interaction with the Republic of Belarus -- Chapter 48. Adaptation of the Terminological and Lexical System in the Field of Customs to the Modern Conditions of Digitalization and Sustainable Development -- Chapter 49. New Technologies of Financial Support of Municipalities -- Chapter 50. Digitalization of Modern Educational Processes and Improvement of Inclusive Programs -- Chapter 51. Analysis of Instruments and Restrictions of Foreign Trade Before and During the Pandemic -- Chapter 52. Transformation of Logistics Systems in the Context of Digitalization -- Chapter 53. Efficiency of Business Models Based on Innovations (Additive Technologies) in a Circular Economy -- Chapter 54. Auditors in Russia: Entry into the Profession -- Chapter 55. Analysis and Forecast of Labor Immigration to Japan in 2009-2019 -- Chapter 56. Assessment of Indirect Economic Benefit from the Introduction of Electricity Storage Systems -- Chapter 57. Estimation of Innovative Indicators as Growth Dynamics Indicator -- Chapter 58. Project Management: University Leaders’ Willingness.
    Abstract: This volume presents the proceedings of the 4th International Scientific and Practical Conference on Digital Economy and Finances (DEFIN22) at the Saint-Petersburg University of Management Technologies and Economics (UMTE), which took place in March 2022. It includes the newest research on the impact of new digital technologies on the growth and capitalization of companies and the labor market. The volume discusses the problems of situational modeling of economic processes and the creation of "digital twins" of enterprises. The contributions analyse how big data and artificial intelligence technologies are shaping the financial markets.
    DOI: 10.1007/978-3-031-14410-3
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    Deep Learning in Data Analytics : Recent Techniques, Practices and Applications (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030758554
    Language: English
    Pages: 1 Online-Ressource(XX, 266 p. 114 illus., 92 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 91
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data. ; Data mining.
    Abstract: Study on Discrete Action Sequences using Deep Emotional Intelligence -- A Novel Noise Removal Technique Influenced by Deep Convolutional Autoencoders on Mammograms -- A High Security Framework through Human Brain using Algo Mixture Model Deep Learning Algorithm -- Knowledge Framework for Deep Learning: Congenital Heart Disease -- Computing System and Machine Learning -- Automatic Image Segmentation by Ranking based SVM in Convolutional Neural Network on Diabetic Fundus Image.
    Abstract: This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society. Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.
    DOI: 10.1007/978-3-030-75855-4
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    Combating Fake News with Computational Intelligence Techniques (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030900878
    Language: English
    Pages: 1 Online-Ressource(XIII, 435 p. 156 illus., 135 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1001
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Social media. ; Artificial intelligence. ; Engineering—Data processing. ; Big data.
    Abstract: Part I: State-of-the-art -- Online Fake News Detection Using Machine Learning Techniques: A Systematic Mapping Study -- Using Artificial Intelligence against the Phenomenon of Fake News: a Systematic Literature Review -- Fake news detection in internet using deep learning: A review -- Part II: Machine Learning Techniques and Fake News -- Early Detection of Fake News from Social Media Networks using Computational Intelligence Approaches -- Fandet Semantic Model: An OWL Ontology for Context-Based Fake News Detection on Social Media -- Fake News Detection using Machine Learning and Natural Language Processing -- Fake News Detection using Ensemble Learning and Machine Learning Algorithms -- Evaluation of Machine Learning Methods for Fake News Detection -- Credibility and Reliability News Evaluation Based on Artificial Intelligent Service with Feature Segmentation Searching and Dynamic Clustering -- Deep Learning with Self-Attention Mechanism for Fake News Detection -- Modeling and solving the fake news detection scheduling problem -- Part III: Case Studies and Frameworks -- The multiplier effect on the dissemination of false speeches on social networks: Experiment during the silly season in Spain -- Detecting News Influence in a Country: One Step Forward Towards Understanding Fake News -- Factors Affecting the Intention of Using Fintech Services in the Context of Combating of Fake News -- Crowd Sourcing and Blockchain-based Incentive Mechanism to Combat Fake News -- Framework for Fake News Classification using Vectorization and Machine Learning -- Fact Checking: An Automatic end to end Fact Checking System -- Part IV: Fake news and Covid-19 pandemic -- False Information in a Post Covid-19 World -- Applying Fuzzy Logic and Neural Network in Sentiment Analysis for fake news detection: Case of Covid-19 -- Analyzing Deep Learning Optimizers for COVID-19 Fake News Detection -- Detecting Fake News On COVID-19 Vaccine from YouTube Videos Using Advanced Machine Learning Approaches.
    Abstract: This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.
    DOI: 10.1007/978-3-030-90087-8
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    The Autonomous Web (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030909369
    Language: English
    Pages: 1 Online-Ressource(XVIII, 158 p. 65 illus., 57 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 101
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Big data. ; Computational intelligence.
    Abstract: State-of-the-Art Survey on Web Search -- A Concept for Recommender Systems Based on Text-representing Centroids -- WebEngine Version 1.0: Building a Decentralised Web Search Engine -- The Brain:WebEngine Version 2.0.
    Abstract: This book initiates a transformation of the Web into a self-managing, autonomous information system to challenge today’s all-embracing role of big search engines as centralized information managers. In the last decades, the World Wide Web became the biggest source for all kinds of information needed. After a short review of the state of the art, a Web-based system is presented for the first time, which employs all its instances equally to provide, consume, and process information uniformly and consistently. In order to build such an efficient, decentralized, and fully integrated information space with all its needed functionalities, a set of diverse algorithms is introduced. These novel mechanisms for load balancing, routing, clustering, document classification, but also time-dependent information management pertain to almost all system levels. Finally, three different approaches to decentralized Web search are discussed that represent the backbone of the new autonomous Web.
    DOI: 10.1007/978-3-030-90936-9
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  • 49
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    Network Science Models for Data Analytics Automation : Theories and Applications (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030964702
    Language: English
    Pages: 1 Online-Ressource(VI, 122 p. 40 illus., 21 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Automation, Collaboration, & E-Services 9
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; Robotics. ; Automation. ; Engineering—Data processing. ; Computational intelligence. ; Big data.
    Abstract: Network Science Models -- Interdependent Critical Infrastructures -- Public Health -- Smart and Autonomous Power Grid -- Water Distribution Systems -- Transportation Systems.
    Abstract: This book explains network science and its applications in data analytics for critical infrastructures, engineered systems, and knowledge acquisition. Each chapter describes step-by-step processes of how network science enables and automates data analytics through examples. The book not only dissects modeling techniques and analytical results but also explores the intrinsic development of these models and analyses. This unique approach bridges the gap between theory and practice and channels’ managerial and problem-solving skills. Engineers, researchers, and managers would benefit from the extensive theoretical background and practical examples discussed in this book. Advanced undergraduate students and graduate students in mathematics, statistics, engineering, business, public health, and social science may use this book as a one-semester textbook or a reference book. Readers who are more interested in applications may skip Chapter 1 and peruse through the rest of the book with ease.
    DOI: 10.1007/978-3-030-96470-2
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    Cybersecurity : A New Approach Using Chaotic Systems (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030921668
    Language: English
    Pages: 1 Online-Ressource(XIV, 235 p. 134 illus., 94 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 102
    Parallel Title: Erscheint auch als Cybersecurity
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Control engineering. ; Dynamics. ; Nonlinear theories. ; Cooperating objects (Computer systems). ; Big data. ; Computational intelligence.
    Abstract: A novel approach for robust S-box construction using a 5-D chaotic map and its application to image cryptosystem -- An image compression-encryption algorithm based on compressed sensing and chaotic oscillator -- Backstepping and sliding mode control of a fractional-order chaotic system -- Quantum oscillations: A promising field for secure communication -- Synchronization of chaotic electroencephalography (EEG) signals -- Secure Communication Scheme Based on Hyperchaotic Systems.
    Abstract: This book presents techniques and security challenges of chaotic systems and their use in cybersecurity. It presents the state-of-the-art and the latest discoveries in the field of chaotic systems and methods and proposes new models, practical solutions, and technological advances related to new chaotic dynamical systems. The book can be used as part of the bibliography of the following courses: - Cybersecurity - Cryptography - Networks and Communications Security - Nonlinear Circuits - Nonlinear Systems and Applications.
    DOI: 10.1007/978-3-030-92166-8
    URL: lizenzpflichtig
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    Information Security Technologies in the Decentralized Distributed Networks (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030951610
    Language: English
    Pages: 1 Online-Ressource(XIV, 305 p. 46 illus., 10 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 115
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Data protection. ; Big data. ; Artificial intelligence.
    Abstract: Methods for Privacy Support in the Decentralized Environment -- Application of Bluetooth, Wi-Fi and Gps Technologies in the means of Contact Tracking -- Analysis and Research of Threat, Attacker and Security Models of Data Depersonalization in Decentralized Networks -- Cryptographic Transformations in a Decentralized Blockchain Environment -- Statistical and Signature Analysis Methods of Intrusion Detection -- Criteria and Indicators of Efficiency of Cryptographic Protection Mechanisms -- Methods of Evaluation and Comparative Research of Cryptographic Conversions -- Cryptographic Mechanisms that Ensure the Efficiency of SNARK-Systems -- Comparative Analysis of Consensus Algorithms that use a Directed Acyclic Graph Instead of a Blockchain, and Construction of Estimates of the SPECTRE Protocol Security to the Double Spend Attack -- Models and Methods of Secure Routing and Load Balancing in Infocommunication Networks -- The Methods of Data Comparison in Residue Numeral System -- Data Control in the System of Residual Classes -- Traffic Monitoring and Abnormality Detection Methods for Decentralized Distributed Networks.
    Abstract: The authors explore various aspects of information processing for the design of service systems, efficient management, secure storage, and transmission. In addition, the subline provides knowledge and practice in decentralized ICT technologies, including those based on blockchain. The aim of this book is to analyze and develop methods of building decentralized private databases without the presence of a trusted party, methods of data processing in encrypted form to ensure the confidentiality of information, and accessibility of the corresponding fragment of the original or transformed data. In this book it is also relevant to research methods and protocols routing in infocommunication networks, which provides load balancing in the network, and analysis of intrusion detection methods based on analysis of signatures and anomalies in network behavior (state changes) based on machine learning and fractal analysis methods.
    DOI: 10.1007/978-3-030-95161-0
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  • 52
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    Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 : Innovative Solutions Against COVID-19 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030773021
    Language: English
    Pages: 1 Online-Ressource(XV, 306 p. 76 illus., 66 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Systems, Decision and Control 378
    Parallel Title: Erscheint auch als
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    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data.
    Abstract: Advances in Data Science and Intelligent Data Communication -- Innovative Solutions Against COVID-19 -- Studies in Systems.
    Abstract: This book presents the emerging developments in intelligent computing, machine learning, and data mining. It also provides insights on communications, network technologies, and the Internet of things. It offers various insights on the role of the Internet of things against COVID-19 and its potential applications. It provides the latest cloud computing improvements and advanced computing and addresses data security and privacy to secure COVID-19 data.
    DOI: 10.1007/978-3-030-77302-1
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  • 53
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    Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030824693
    Language: English
    Pages: 1 Online-Ressource(XI, 362 p. 226 illus., 147 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 256
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Machine learning. ; Big data.
    Abstract: Engagement Analysis of Students in Online Learning Environments -- Application of Artificial Intelligence to predict the Degradation of Potential mRNA Vaccines Developed To Treat SARS-CoV-2 -- An Application of Transfer Learning: Fine-Tuning BERT for Spam Email Classification -- MMAP : A Multi-Modal Automated Online Proctor -- Applying Extreme Gradient Boosting for Surface EMG based Sign Language recognition -- Review of Security Aspects of 51 Percent Attack on Blockchain -- Integrated Micro-video Recommender based on Hadoop and Web-Scrapper -- Automated Sleep Staging System based on Ensemble Learning Model using Single-Channel EEG signal -- Segregation and User Interactive Visualization of Covid- 19 Tweets using Text Mining Techniques -- Software Fault Prediction using Data Mining Techniques on Software Metrics.
    Abstract: This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.
    DOI: 10.1007/978-3-030-82469-3
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  • 54
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    Advances in Internet, Data & Web Technologies : The 10th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2022) (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030959036
    Language: English
    Pages: 1 Online-Ressource(XXI, 460 p. 235 illus., 168 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 118
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data.
    Abstract: Service Platform for Social and Community to Drive the Royal Project Foundation -- Implementation of a Local-community Issues Visualization System using Open Data and Future Population Projection -- SAE+Bi-GRU Based Security Situation Prediction for Smart Grid -- Design of Identity Authentication Scheme for Dynamic Service Command System Based on SM2 Algorithm and Blockchain Technology -- Visual Authentication Codes Generated Using Predictive Intelligence -- Reliable Network Design Problem by Improving Node Reliability -- Toward Secure K-means Clustering Based on Homomorphic Encryption in Cloud -- On the Insecurity of a Certificateless Public Verification Protocol for the Outsourced Data Integrity in Cloud Storage -- On the Insecurity of a Certificateless Public Verification Protocol for the Outsourced Data Integrity in Cloud Storage -- Community Division Algorithm Based on Node Similarity and Multi-Attribute Fusion -- Research on TCM Patent Annotation to Support Medicine R&D and Patent Acquisition Decision-Making -- Research on TCM Patent Annotation to Support Medicine R&D and Patent Acquisition Decision-Making -- Blockchain for Islamic HRM: Potentials and Challenges on Psychological Work Contract -- Blockchain for Islamic HRM: Potentials and Challenges on Psychological Work Contract.
    Abstract: This book presents original contributions to the theories and practices of emerging Internet, data, and Web technologies and their applicability in businesses, engineering, and academia. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and Web technologies are two most prominent paradigms, in a variety of forms such as Data Centers, Cloud Computing, Mobile Cloud, Mobile Web Services, and so on. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. As a key feature, it addresses advances in the life cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Researchers, software developers, practitioners, and students interested in the field of data and Web technologies find this book useful and a reference for their activity.
    DOI: 10.1007/978-3-030-95903-6
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    Big Data and Blockchain for Service Operations Management (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030873042
    Language: English
    Pages: 1 Online-Ressource(XII, 344 p. 140 illus., 97 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Big Data 98
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data. ; Industries.
    Abstract: Characteristics and trends in big data for service operations management research: A blend of descriptive statistics and bibliometric analysis -- Strategy Formulation and Service Operations in the Big Data Age: The Essentialness of Technology, People, and Ethics -- Modeling Big Data Enablers for Service Operations Management.
    Abstract: This book aims to provide the necessary background to work with big data blockchain by introducing some novel applications in service operations for both academics and interested practitioners, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book intends to cover theory, research, development, and applications of big data and blockchain, as embedded in the fields of mathematics, engineering, computer science, physics, economics, business, management, and life sciences, to help service operations management.
    DOI: 10.1007/978-3-030-87304-2
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  • 56
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    Advances in Computing, Informatics, Networking and Cybersecurity : A Book Honoring Professor Mohammad S. Obaidat’s Significant Scientific Contributions (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030870492
    Language: English
    Pages: 1 Online-Ressource(XV, 807 p. 256 illus., 189 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes in Networks and Systems 289
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Engineering—Data processing. ; Computational intelligence. ; Big data.
    Abstract: Workload Scheduling in Fog and Cloud Environments: Emerging Concepts and Research Directions -- A Comprehensive Survey of Estimator Learning Automata and their Recent Convergence Results -- Multimodal Data Fusion. .
    Abstract: This book presents new research contributions in the above-mentioned fields. Information and communication technologies (ICT) have an integral role in today’s society. Four major driving pillars in the field are computing, which nowadays enables data processing in unprecedented speeds, informatics, which derives information stemming for processed data to feed relevant applications, networking, which interconnects the various computing infrastructures and cybersecurity for addressing the growing concern for secure and lawful use of the ICT infrastructure and services. Its intended readership covers senior undergraduate and graduate students in Computer Science and Engineering and Electrical Engineering, as well as researchers, scientists, engineers, ICT managers, working in the relevant fields and industries.
    DOI: 10.1007/978-3-030-87049-2
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  • 57
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    The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031039188
    Language: English
    Pages: 1 Online-Ressource(XVI, 699 p. 309 illus., 223 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 113
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Artificial intelligence. ; Big data. ; Engineering—Data processing.
    Abstract: This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems. .
    DOI: 10.1007/978-3-031-03918-8
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  • 58
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    Future of Organizations and Work After the 4th Industrial Revolution : The Role of Artificial Intelligence, Big Data, Automation, and Robotics (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783030990008
    Language: English
    Pages: 1 Online-Ressource(XI, 545 p. 51 illus., 46 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Studies in Computational Intelligence 1037
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Computational intelligence. ; Engineering—Data processing. ; Big data. ; Control engineering. ; Robotics. ; Automation. ; Artificial intelligence.
    Abstract: Part I: Driving Innovative and Creative Practices -- Challenges of the Industrial IOT (IIoT) in Higher Education in the Kingdom of Bahrain -- The role of Emotional Intelligence in the improvement of Industrial Multicriteria Decision Making: A Model Driven Approach for Emotional Intelligence Testing -- Redesigning and Reinvention of Retail Industry through Artificial Intelligence (AI) -- The Role of Artificial intelligence in Human Resources -- Transforming into Smart Business: The role of Artificial Intelligence -- The Dynamic Capital Structure Decision of Firms in Indonesia -- The Suitability of Gold as a High-quality Liquid Asset: Empirical Evidence from Volatility Structure Analysis -- The Impact of Artificial Intelligence on the Banking Industry Performance -- Part II: Social media, Communication and its effects on society and business -- In Influencers We Trust? A Model of Trust Transfer in Social Media Influencer Marketing -- The Usage of Artificial Intelligence in Journalism -- Societal Partnership in the Fourth Era of Industrial Revolution Between the Media And Civil Society Institutions Aiming To Reducing The Demand For Drugs -- Artificial Intelligence: Chatbot - The New Generation of Communication -- The Relationship Between Food E-Advertising and Children’s Obesity in Bahrain -- Technological Sustainability in the 21st Century -- Part III: The implementation of technology and the future of education and knowledge -- Interns' Self-Efficacy, Internet Addiction, Wellbeing, and Online Learning Experiences: A Descriptive-Correlational Study -- The challenges and factors influencing the E-learning system usage during COVID-19 pandemic -- Student Invigilation Detection using Deep Learning and Machine after Covid-19: A Review on Taxonomy and Future Challenges -- The Websites Technology for Arabic Language Learning through COVID-19 Pandemic -- The Impact of Digitizing Business Education on the Quality of Education during COVID-19 Pandemic: The Role of International Accreditation Bodies -- The Role of Artificial Intelligence in Knowledge Management -- Knowledge and Perceptions of the COVID-19 Pandemic in the Kingdom of Bahrain: A Descriptive Study -- Part IV. The Fourth Industrial Revolution, cryptocurrency, cybersecurity, ethics and corporate performance -- Risks, Advantages and Obstacles Associated with Bitcoin: The Perspective of Palestinian Banks -- The impact of major technologies in Fourth Industrial Revolution -- The Usage of Financial Technology Payments During the Pandemic of Covid-19 -- The Influence of Cybersecurity on The Firms’ Financial Performance -- The Fact of corporate governance in the Palestinian territories -- Malay Ethnic Directors, Board Attributes and Ownership Structure on Firm Performance: Corporate Governance Evidence from an Emerging Market -- Impact of Derivatives on Firm Value: Evidence on Shariah and non-Shariah Compliant Firms -- The Impact of Artificial Intelligence (AI) in the Oil and Gas Industry.
    Abstract: This book takes a forward-looking approach by bringing in research and contributions that facilitate in mapping the impact of AI and big data on businesses, the nature of work along with providing practical solutions for preparing the work, workplace, and the workforce of the future. Organizations globally have been experiencing immense transformation due to the reinvention and redefining of the business models due to the dynamic nature of the business environment. Looking at an organizational context, undeniably, the definition of ‘work’ and ‘organizations’ is genuinely changing. Artificial intelligence, big data, automation, and robotics are a few of those keywords that are seemingly entering the workplace and reshaping the way work is being done. Moreover, the transition that is being addressed herein not only focuses upon aspects that are operative within an organization like the organizational culture, team building, networking, recruitments, and so on but also aims to address the external aspects like supply chain management, value chain analysis, investment management, etc. Broadly, every single step that is now taken is intensely experiencing this impact upon its functioning. This book serves as a guide not just to the academia but also to the industry to adopt suitable strategies that offer insights into global best practices as well as the innovations in the domain.
    DOI: 10.1007/978-3-030-99000-8
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    Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 1 (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031103889
    Language: English
    Pages: 1 Online-Ressource(XVIII, 843 p. 252 illus., 164 illus. in color.)
    Edition: 1st ed. 2022.
    Series Statement: Lecture Notes on Data Engineering and Communications Technologies 144
    Parallel Title: Erscheint auch als
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    Keywords: Computational intelligence. ; Big data.
    Abstract: Advancement of Dynamic Analysis, Machine Learning, and Supply Chain Management Based on the Sixteenth ICMSEM Proceedings -- Research on Risk Hierarchical Structure of High-tech Startups Based on DEMATEL-ISM Model -- Cash Holdings and M&A Performance: Evidence from China’s GEM market -- Transportation Networks Cascading Failures Modeling under Emergency Environment -- Data-driven Optimization Model for Power Grid Planning based on Peak Load Shifting Strategy -- Effects of Financial Knowledge on Risk Tolerance in College Students: A Moderated Mediation Model -- AgroInfo DSF: A Smart Decision Support Framework for Precision Agriculture and Farming -- Research on Risk Management of Chinese Enterprises’ Overseas Business–Based on the Perspective of “The Belt and Road” -- A Dynamic Multi-objective Model for Improving Maintenance Management of Offshore Wind Turbines -- A Decision Support System for Parking Lot Location Problems in Metropoles : A Case Study in Istanbul -- Research on the Optimal Portfolio of Stock and Internet Fund Investment Based on VaR-GARCH (1,1) -- Competitive Pricing Strategy of Exhibition Enterprises in Two-sided Markets -- Strategic Intelligence in Planning and Risk Management -- Influence of E-commerce and Emerging Innovative Technological Advancements in the Banking Sector in Pakistan.
    Abstract: This book covers many hot topics, including theoretical and practical research in many areas such as dynamic analysis, machine learning, supply chain management, operations management, environmental management, uncertainty, and health and hygiene. It showcases advanced management concepts and innovative ideas. The 16th International Conference on Management Science and Engineering Management (2022 ICMSEM) will be held in Ankara, Turkey, during August 3-6, 2022. ICMSEM has always been committed to promoting innovation management science (M-S) and engineering management (EM) academic research and development. The book provides researchers and practitioners in the field of Management Science and Engineering Management (MSEM) with the latest, cutting-edge thinking and research in the field. It will appeal to readers interested in these fields, especially those looking for new ideas and research directions.
    DOI: 10.1007/978-3-031-10388-9
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  • 60
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    Big Data, Algorithms and Food Safety : A Legal and Ethical Approach to Data Ownership and Data Governance (2022)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details
    ISBN: 9783031093678
    Language: English
    Pages: 1 Online-Ressource(XIV, 216 p. 1 illus.)
    Edition: 1st ed. 2022.
    Series Statement: Law, Governance and Technology Series 52
    Parallel Title: Erscheint auch als
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    Parallel Title: Erscheint auch als Sapienza, Salvatore Big data, algorithms and food safety
    Keywords: Information technology—Law and legislation. ; Mass media—Law and legislation. ; Artificial intelligence. ; Big data. ; Food—Safety measures.
    Abstract: Chapter 1:Food, Big Data, Artificial Intelligence -- Chapter 2:Data Ownership in Food-related Information -- Chapter 3:Food Consumption Data Protection -- Chapter 4:Current and Foreseeable Trends in Food Safety Data Governance -- Chapter 5: The P-SAFETY Model: a Unifying Ethical Approach -- Chapter 6: Conclusion: a Responsible Food Innovation.
    Abstract: This book identifies the principles that should be applied when processing Big Data in the context of food safety risk assessments. Food safety is a critical goal in the protection of individuals’ right to health and the flourishing of the food and feed market. Big Data is fostering new applications capable of enhancing the accuracy of food safety risk assessments. An extraordinary amount of information is analysed to detect the existence or predict the likelihood of future risks, also by means of machine learning algorithms. Big Data and novel analysis techniques are topics of growing interest for food safety agencies, including the European Food Safety Authority (EFSA). This wealth of information brings with it both opportunities and risks concerning the extraction of meaningful inferences from data. However, conflicting interests and tensions among the parties involved are hindering efforts to find shared methods for steering the processing of Big Data in a sound, transparent and trustworthy way. While consumers call for more transparency, food business operators tend to be reluctant to share informational assets. This has resulted in a considerable lack of trust in the EU food safety system. A recent legislative reform, supported by new legal cases, aims to restore confidence in the risk analysis system by reshaping the meaning of data ownership in this domain. While this regulatory approach is being established, breakthrough analytics techniques are encouraging thinking about the next steps in managing food safety data in the age of machine learning. The book focuses on two core topics – data ownership and data governance – by evaluating how the regulatory framework addresses the challenges raised by Big Data and its analysis in an applied, significant, and overlooked domain. To do so, it adopts an interdisciplinary approach that considers both the technological advances and the policy tools adopted in the European Union, while also assuming an ethical perspective when exploring potential solutions. The conclusion puts forward a proposal: an ethical blueprint for identifying the principles – Security, Accountability, Fairness, Explainability, Transparency and Privacy – to be observed when processing Big Data for food safety purposes, including by means of machine learning. Possible implementations are then discussed, also in connection with two recent legislative proposals, namely the Data Governance Act and the Artificial Intelligence Act.
    DOI: 10.1007/978-3-031-09367-8
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