Convergence Of Ai Federated Learning And Blockchain For Sustainable Development
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Convergence Of Ai Federated Learning And Blockchain For Sustainable Development
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Author : Mohit Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-09-09
Convergence Of Ai Federated Learning And Blockchain For Sustainable Development written by Mohit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-09 with Science categories.
This book provides current state of the art along with an insight of recent research trends and open issues, challenges, and future research direction for the academician, analyzer, researcher, writers, and authors. It also provides an opportunity to exchange knowledge in the field of IoT-enabled smart systems, Industry 4.0, networking, cyber-physical system, computing paradigms, and security with various tools and methods used for industry-oriented intelligent-based IoT applications. This advanced research edited book focuses on emerging and advancing technology-federated machine learning, blockchain, and artificial intelligence for real-time Internet of things (IoT) application to solve the real-world problems and make the life of human more conformable. The objective of the proposed book is to develop privacy preserving model for IoT applications and improve the security, privacy, reliability, and sustainability of the systems. This book motivates and enhances the quality of research and commercialization in the fields of AI, Industry 4.0, federated learning, and blockchain.
Convergence Of Ai Federated Learning And Blockchain For Sustainable Development
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Author : Mohit Kumar
language : en
Publisher:
Release Date : 2025-03-17
Convergence Of Ai Federated Learning And Blockchain For Sustainable Development written by Mohit Kumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Business & Economics categories.
Convergence Of Blockchain And Internet Of Things In Healthcare
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Author : Arun Kumar Rana
language : en
Publisher: CRC Press
Release Date : 2024-04-22
Convergence Of Blockchain And Internet Of Things In Healthcare written by Arun Kumar Rana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Technology & Engineering categories.
The Internet of Things (IoT) and blockchain are two new technologies that combine elements in many ways. A system where the virtual and physical worlds interact is created by integrating pervasive computing, ubiquitous computing, communication technologies, sensing technologies, Internet Protocol, and embedded devices. A massive number of linked devices and vast amounts of data present new prospects for developing services that can directly benefit the economy, environment, society, and individual residents. Due to the size of IoT and insufficient data security, security breaches may have a huge impact and negative effects. IoT not only connects gadgets but also people and other entities, leaving every IoT component open to a wide variety of assaults. The implementation and application of IoT and blockchain technology in actual scientific, biomedical, and data applications are covered in this book. The book highlights important advancements in health science research and development by applying the distinctive capabilities inherent to distributed ledger systems. Each chapter describes the current uses of blockchain in real-world data collection, medicine development, device tracking, and more meaningful patient interaction. All of these are used to create opportunities for expanding health science research. This paradigm change is studied from the perspectives of pharmaceutical executives, biotechnology entrepreneurs, regulatory bodies, ethical review boards, and blockchain developers. Key Features: Provides a foundation for the implementation process of blockchain and IoT devices based on healthcare-related technology Image processing and IoT device researchers can correlate their work with other requirements of advanced technology in the healthcare domain Conveys the latest technology, including artificial intelligence and machine learning, in healthcare-related technology Useful for the researcher to explore new things like security, cryptography, and privacy in healthcare related technology Tailored for people who want to start in healthcare-related technology with blockchain and IoT This book is primarily for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and biomedical engineering.
Convergence Of Blockchain Internet Of Everything And Federated Learning For Security
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Author : Ullah, Fasee
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Convergence Of Blockchain Internet Of Everything And Federated Learning For Security written by Ullah, Fasee and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.
The convergence of blockchain, the Internet of Everything (IoE), and federated learning paves the way for enhanced security in digital ecosystems. Blockchain offers decentralized, tamper-proof solutions that ensure data integrity, while the IoE connects smart devices, generating large amounts of data that require robust protection. Federated learning allows models to be trained locally on edge devices without transferring sensitive data to centralized servers, minimizing exposure to cyber threats. These technologies strengthen privacy and data security while enabling more efficient, scalable, and resilient systems. Further research into the potential of these technologies may redefine how security is managed, ensuring a safer environment for individuals and organizations. Convergence of Blockchain, Internet of Everything, and Federated Learning for Security explores the convergence of blockchain, IoEs, federated learning, and cybersecurity, highlighting their relevance in the modern digital landscape. It examines the importance of these technologies in addressing security challenges and enhancing data privacy in interconnected systems. This book covers topics such as cryptography, machine learning, and smart grids, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.
Driving Socio Economic Growth With Ai And Blockchain
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Author : Gwala, Ranson Sifiso
language : en
Publisher: IGI Global
Release Date : 2025-03-14
Driving Socio Economic Growth With Ai And Blockchain written by Gwala, Ranson Sifiso and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Business & Economics categories.
In an era of rapid technological advancement, artificial intelligence (AI) and blockchain emerge as powerful catalysts for driving socio-economic growth. These innovations reshape industries, streamline processes, and unlock new opportunities for economic development. AI enhances productivity and innovation across sectors like healthcare, finance, and education. Meanwhile, blockchain's decentralized and secure practices transform industries by ensuring transparency, reducing fraud, and enabling efficient transactions. Together, AI and blockchain have the potential to create a more equitable and successful society by fostering inclusive growth, driving job creation, and improving access to essential services. Further exploration into how these technologies are driving socio-economic progress may highlight their impact on global economies and the future of work. Driving Socio-Economic Growth With AI and Blockchain examines the applications of blockchain technology and AI as catalysts for social and economic development. It discusses the use of these technologies in reaching sustainable development goals (SDGs) and increasing global economic growth. This book covers topics such as data science, financial technology, and sociology, and is a useful resource for data scientists, economists, sociologists, computer engineers, academicians, and researchers.
Convergence Of Technology And Operations Management In Modern Businesses
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Author : Martínez-Falcó, Javier
language : en
Publisher: IGI Global
Release Date : 2024-11-01
Convergence Of Technology And Operations Management In Modern Businesses written by Martínez-Falcó, Javier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-01 with Business & Economics categories.
In the modern business landscape, the intersection of technology and operations management is driving efficiency and innovation. As organizations continue to rely on advanced technologies, such as artificial intelligence, data analytics, and automation, they are transforming their operational strategies to enhance productivity, streamline processes, and deliver valuable products. Aligning technological advancements with operational goals allows companies to achieve a competitive edge, improve customer satisfaction, and unlock new growth opportunities. Businesses must continue to explore this convergence to adapt their operations successfully and invest in necessary skills to connect technology with business processes. Convergence of Technology and Operations Management in Modern Businesses explores the intersection of technology and operations management in the modern business environment. It covers technological advancements for revolutionized operations and supply chain management for increased efficiency and competitiveness. This book covers topics such as smart banking, blockchain, and human capital, and is a useful resource for financial professionals, bankers, business owners, data scientists, computer engineers, academicians, scientists, and researchers.
Technological Transformation A Key Catalyst For Sustainable Business Development
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Author : Dr. Amthul Azeez
language : en
Publisher: Alborear (OPC) Pvt. Ltd.
Release Date : 2025-01-21
Technological Transformation A Key Catalyst For Sustainable Business Development written by Dr. Amthul Azeez and has been published by Alborear (OPC) Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Social Science categories.
It is our pleasure to present the proceedings of the 2 nd International Conference on Technological Transformation: A Key Catalyst for Sustainable Business Development that was held on 21st January 2025 at Justice Basheer Ahmed Sayeed College for Women, (Autonomous), Chennai Department of Commerce in association with School of Social Sciences And Humanities, B.S. Abdur Rahman Crescent Institute of Science And Technology, Vandalur, Chennai. This conference provided a platform for researchers, academicians, professionals and industrialist from various fields to come together and share their research findings, innovative ideas and rich experiences. The theme of the conference was “Sustainable Entrepreneurship, Economic Development & Sustainability, Operations & Logistics, Sustainable Value Chain Optimization, Human Resource Management & Social Sciences, Marketing Dynamics & Finance, Artificial Intelligence & CSR and Online presentations” on various topics of relevance which attracted a diverse range of research papers, presentations and active participations. The conference was a great success, and we received an overwhelming response from participants from across the globe. The conference proceedings contain papers that have been thoroughly reviewed by a panel of experts in respective fields. These papers have undergone a rigorous peerreview process to ensure their quality and relevance to the conference theme. The proceedings cover a wide range of topics, including commerce & other fields. The papers presented in these proceedings reflect the latest developments and advancements in the relevant field which provided valuable insights and offer practical solutions to real-world problems. The proceedings also serve as an excellent reference for researchers, scholars and practitioners who are interested in pursuing further research in the relevant areas. We would like to express our gratitude to the conference organizers, the keynote speakers, the panelists, and all the participants who contributed to the success of this International conference. We would also like to thank the reviewers for their meticulous work and dedication to ensure the quality of the papers included in these proceedings. Lastly, we hope that these proceedings will serve as a valuable resource for researchers, scholars, and industrialist in the entire relevant field and inspire further research and collaboration among the global academic community.
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0
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Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-14
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0 written by Nitin Liladhar Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.
This book offers an insight into the applications of Artificial Intelligence (AI)- Machine Learning Algorithms and Deep Learning (DL) in Bigdata Analytics to Industry 4.0/5.0 and Society 5.0 with transformative power responsibly. It has delved into how these technologies are disrupting industries, fostering innovation, and solving age-old social problems-so that readers have an understanding of where the digital world is headed. These chapters cover the big picture subjects of using AI with Big data analytics aimed mostly at increasing industrial efficiency, healthcare optimization, retail transformation, construction industry transformation, autonomous vehicles development and environmental sustainability improvement. The book covers each of these technologies extensively applied to full chapters devoted to detail studies, methodologies and practical usages. One of the central concepts in the book is how we evolve from industry 4.0 to industry 5.0. Therefore, Industry 4.0 relies on the automation and data exchange in manufacturing technologies using cyber-physical systems, the Internet of Things and cloud computing route to intelligent factories. During this phase, it improves operational efficiency, predictive maintenance and real-time monitoring which lowers down time and other operating costs by considerable amount. As industries move towards Industry 5.0, a lot has been noted-human-oriented solutions that combine human creativity and intelligence with highly automated and distributed technological tools. More cooperation between humans and machines during such times will, therefore, result in more customized production aimed at sustainable processes. The book details how, thanks to digital twins-that is, innumerable virtual replicas of physical systems-the further step is taken, allowing for real-time data analysis and, consequently innovative ways of manufacturing where the interests of the workers and customers come first. The present book discusses how AI and big data analytics transcend industrial applications to meet more societal ends as society ushers in its fifth revolution. Society 5.0 postulates that a super-smart digital society will drive transformation in all aspects of life, ranging from health and education to planning urban resources and infrastructure and ensuring public safety. The combination of AI with Big Data makes personalized healthcare services possible, competent resource planning in cities, and environmental sustainability in place via predictive analytics or simulation models. One such industry in which significant changes are coming, according to AI and Big Data analytics, is healthcare. This book shows how these technologies improve diagnostic accuracy, enable personalized treatment plans, and optimize resource allocations. Predictive insights can predict outbreaks and admissions, which helps better preparedness against diseases and also optimizes health resource utilization. AI in medical imaging and anomaly detection strengthens the efficiency of professional health experts, thus delivering better patient outcomes. AI and big data analytics have further remodelled the retail industry by providing retailers profound insights into consumer behaviour and preferences. With this information, retailers can adopt person-segmented marketing techniques and optimize inventory levels while enabling high levels of customer service using AI-fuelled chatbots and virtual assistants. These technologies help retailers stay competitive in an ever-developing market environment by offering solutions structured based on individual needs expressed by customers. AI and big data analytics combine to form one synergy connected with autonomous vehicles. It further goes on to discuss the huge amount of data needed for training these AI models and big data analytics in refining the accuracy and safety of autonomous driving systems. Another critical area in which AI and Big Data Analytics make a considerable impact is environmental sustainability. By applying these analyses to large data sets relating to climatic changes, energy consumption, and natural resources, AI models can establish trends and recognize patterns indicating future changes. This predictive ability equips organizations and governments with tools to develop lower environmental footprints and promote sustainable practices proactively. It further explains AI-enabled energy management systems that drive optimized energy use in buildings to reduce carbon emissions and save on associated costs. This certainly looks like something for a vast readership: it speaks more to academics, professionals working in the industry, and decision-makers-but, really, to anybody who seeks to grasp the transformative powerfulness of AI and big data analytics. This source will provide information on overall guidance and a rich source of inspiration in using these technologies to enable innovation and sustainable development across different sectors. Actual case examples and practical applications are given to convey the knowledge and elements that readers need to know as they go about using AI and big data analytics. This book also includes discussions concerning the dynamic policy and regulatory scenes of AI, pointing out that it is necessary to have standard policies that should be implemented to have ethical deployment of AI that reduces risks. This book also focuses on challenges in implementing AI for intelligent and sustainable industries, meaning technical, ethical, and operational barriers. It outlines high costs, low-quality data, and the need for skilled professionals; ethical concerns and robust cybersecurity measures become necessary. As such, this book will engross an audience ranging from academics to industry professionals and policymakers working toward understanding and using AI and big data for sustainable development and technological advancement.
Artificial Intelligence Of Everything And Sustainable Development
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Author : Hamed Nozari
language : en
Publisher: Springer Nature
Release Date : 2025-07-14
Artificial Intelligence Of Everything And Sustainable Development written by Hamed Nozari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Computers categories.
This book explores the intersection between transformative technologies and sustainable development. In today's world, characterized by diminishing energy sources, declining youth populations, and rapid technological advancements, the need for sustainable practices has never been more pressing. Technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and hybrid technologies have not only revolutionized daily life but also presented new challenges and opportunities. The book presents the concept of "artificial intelligence of everything," highlighting the role of these technologies in driving sustainable, green, and futuristic development. It offers conceptual and quantitative frameworks to enhance understanding and presents insight into their application. Emphasizing the importance of looking beyond the present moment, the book advocates for a future-focused approach to technology, one that prioritizes sustainability in all endeavors. As the world navigates the complexities of the modern era, this book serves as a practical and essential guide. It is designed to help readers navigate the challenges of today's world and embrace sustainable practices that will shape a better future for all.
Ai And Blockchain In Smart Grids
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Author : Shrikant Tiwari
language : en
Publisher: CRC Press
Release Date : 2025-04-17
Ai And Blockchain In Smart Grids written by Shrikant Tiwari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Technology & Engineering categories.
AI and Blockchain in Smart Grids: Fundamentals, Methods, and Applications examines the cutting-edge solution that combines artificial intelligence (AI), blockchain technology, and digital twin concepts to innovate the management and optimization of electrical power distribution. This innovative approach enhances the resilience, efficiency, and security of electricity grids while providing real-time insights for grid operators and stakeholders. The book covers such key elements as using: Digital twins in smart grids to gather real-time data from various grid components AI-powered analytics to process the data generated by digital twins and to analyze this information to detect patterns, predict grid failures, and recommend adjustments to enhance a grid's performance Blockchain-based security to ensure the secure and transparent management of data within a smart grid, especially a tamper-resistant ledger to store information related to energy production, distribution, and consumption Decentralized data sharing to allow grid data to be shared securely among various stakeholders, including utilities, regulators, and consumers Grid optimization techniques to improve electricity distribution, reduce energy waste, and balance supply and demand efficiently Select real-world case studies and practical examples demonstrate how AI and blockchain are currently being applied to enhance grid management, energy distribution, and sustainability. By explaining to researchers, academics, and students how AI and blockchain can revolutionize electricity distribution and make grids smarter, more secure, and environmentally friendly, the book points to a future where grid operators, regulators, and consumers will benefit from real-time data and a resilient, efficient energy ecosystem.