This book compiles the proceedings of the Third International Conference on Next-Generation Computing and Information Systems (ICNGCIS 25). It combines high-quality research, practical insights, and scholarly debate spanning traditional domains like distributed computing, networks, and cybersecurity, alongside emerging areas such as AI, IoT, quantum security, and edge computing.The proceedings include papers addressing currently relevant research issues such as smart contract security, interoperability in the metaverse, AI applications in healthcare, agriculture and related domains. The proceedings present findings with real-world implications for modern computing and information systems, addressing key challenges in design, deployment, operations, performance optimization, and limitation mitigation.This book targets researchers from academia and industry, practitioners, students, technology enthusiasts, and general audiences seeking to understand cutting-edge applications, practical use cases, and core principles of modern computing and information systems.

This book explores emerging advancements in intelligent computing, modern IT infrastructures, and next-generation networking technologies. The book presents contemporary theories, practical implementations, and research trends that integrate artificial intelligence, data-driven systems, and communication networks to solve real-world challenges in academia and industry.The book covers foundational and advanced topics in computational intelligence, including machine learning algorithms, deep learning architecture, evolutionary computing, and fuzzy systems. It further examines information technology frameworks such as cloud computing, big data analytics, cybersecurity mechanisms, and distributed systems. In the networking domain, it discusses Internet of Things (IoT), network security, and performance optimization techniques. Through case studies and applied research findings, the book highlights how intelligent models enhance automation, predictive analysis, and decision-making across sectors like healthcare, smart cities, finance, and education. Emphasis is placed on scalability, efficiency, and integration of AI-driven solutions with modern networking environments. The main findings demonstrate that the convergence of computational intelligence with IT and networking significantly improves system adaptability, resource management, and real-time data processing capabilities.This book is intended for postgraduate students, research scholars, academicians, and industry professionals in computer science, information technology, and electronics engineering. It is particularly valuable for those specializing in artificial intelligence, data science, networking, and cybersecurity who seek updated knowledge on emerging intelligent technologies and integrated computing systems.

The book presents a forward-thinking and interdisciplinary collection of research contributions that seamlessly integrate technological innovation with the principles of sustainability. The core purpose of the book is to foster dialogue and collaboration focused on building intelligent, secure, and environmentally responsible computing systems. As the digital landscape rapidly evolves, ICSDC 2025 addresses the critical need for advanced distributed and intelligent technologies that align with global sustainable development goals.A prominent feature of ICSDC 2025 is its emphasis on Digital Twin technologies. These virtual counterparts of physical systems allow for continuous monitoring, simulation, and lifecycle management of assets. They are increasingly being adopted in sectors such as industrial automation, infrastructure development, environmental monitoring, and healthcare. By providing real-time feedback and scenario modeling, digital twins promote more informed decision-making and efficient use of energy, materials, and human resources. The conference is deeply aligned with the vision of Industry 5.0, which emphasizes human-centric design, ethical AI, and intelligent automation. ICSDC 2025 highlights innovations that prioritize sustainability, resilience, and collaboration between humans and machines. Topics such as federated learning, cyber-physical systems, and context-aware computing are featured prominently, showcasing the potential of emerging technologies to enable a more inclusive and sustainable industrial future. The book includes research on low-power computing architectures, green AI models, edge intelligence, privacy-preserving mechanisms, and secure distributed systems.The intended audience of ICSDC 2025 includes academic researchers, industry practitioners, system architects, and policy decision-makers who are working at the intersection of technology and sustainability. It serves as a strategic reference point for those seeking to design, implement, and scale digital ecosystems that are not only smart and secure but also equitable, human-centric, and environmentally sustainable.

This book presents a curated collection of peer-reviewed research contributions emerging from the International Conference on Frontiers in Engineering, Science, and Technology (ICONFEST 2025). It highlights contemporary innovations, interdisciplinary approaches, and transformative technologies that are shaping the future of engineering and applied sciences.The volume brings together diverse research works spanning computer science, electrical and electronics engineering, mechanical and manufacturing systems, civil and environmental engineering, and materials science. It emphasizes the growing significance of interdisciplinary collaboration in addressing complex real-world challenges. Key themes include artificial intelligence and machine learning applications, intelligent infrastructure, renewable and sustainable energy systems, and advancements in smart manufacturing technologies. The book captures cutting-edge methodologies, experimental findings, and practical implementations, reflecting both theoretical advancements and industry-driven innovations. By integrating perspectives from academia and industry, it demonstrates how convergent research can foster sustainable development and technological progress across multiple domains.This book is intended for researchers, academicians, industry professionals, and postgraduate students engaged in engineering, applied sciences, and emerging technologies. It serves as a valuable reference for those seeking insights into current research trends, interdisciplinary innovations, and practical solutions to contemporary engineering challenges.

This compilation of papers captures the essence of the International Conference on Smart Systems for Sustainable Development using Advanced Computational Techniques (ICSSA 2025). It provides a comprehensive exploration of how next-generation computing drives ecological and social resilience and highlights the pivotal role of intelligent automation and data-driven strategies in solving complex global challenges.It delves into the integration of Artificial Intelligence (AI), Internet of Things (IoT), and high-performance computing to create "green" technological ecosystems. This book covers a broad spectrum of research, including smart grid management, precision agriculture, carbon footprint optimization through machine learning, and the development of circular economy models via blockchain. By synthesizing theoretical frameworks with real-world case studies, the contributions illustrate how advanced algorithms can minimize resource waste while maximizing industrial efficiency. Together, these papers offer a roadmap for sustainable digital transformation across energy, healthcare, and urban planning sectors by emphasizing the shift toward "Cognitive Sustainability", where systems do not just automate tasks but actively learn to balance human needs with environmental constraints.This book is an essential resource for academic researchers, post-graduate students, and industry practitioners specializing in computer science and environmental engineering. It also serves policymakers and urban planners seeking data-backed strategies to implement sustainable technologies within smart city infrastructures and corporate ESG frameworks.

This book aims to foster meaningful dialogue to strategically enhance human capabilities through targeted collaboration with AI to secure sustainable competitive advantage in rapidly evolving marketplaces.Key highlights of the book includes the SDG Youth Challenge, which promotes youth-led sustainable innovations; the Three Minute Thesis (3MT) Competition, empowering postgraduate students to communicate their research effectively; the Postgraduate Colloquium, facilitating mentorship and scholarly exchange, and a panel discussion featuring industry leaders and academics to explore the future of Artificial Intelligence (AI) Human Intelligence (HI) collaboration through action research.The book will serve as a valuable reference to academics, researchers, industry professionals, and policymakers around the globe to share their research findings and discuss current and challenging issues in management, business, and interdisciplinary domains.

The International Conference on Sustainable Developments in Computer Engineering, Green Technology and Smart Systems (ICSDS 2025) brings together groundbreaking contemporary insights and intelligent technological solutions in the fields of computer engineering, green computing, smart systems, artificial intelligence, Internet of Things, data science, and cybersecurity.The chapters in this volume provide an integrated analysis of energy-efficient, environmentally sustainable, and technologically resilient building systems. Combining foundational principles with applied methodologies, the book addresses contemporary challenges in intelligent automation, sustainable communication networks, secure digital infrastructures, and smart industrial applications.By integrating interdisciplinary research with real-world applications, this publication serves as a valuable resource for researchers, practitioners, and policymakers committed to shaping sustainable technological ecosystems for the future.

This compilation of papers captures the essence of the International Conference on Smart Systems for Sustainable Development using Advanced Computational Techniques (ICSSA 2025). It provides a comprehensive exploration of how next-generation computing drives ecological and social resilience and highlights the pivotal role of intelligent automation and data-driven strategies in solving complex global challenges.It delves into the integration of Artificial Intelligence (AI), Internet of Things (IoT), and high-performance computing to create "green" technological ecosystems. This book covers a broad spectrum of research, including smart grid management, precision agriculture, carbon footprint optimization through machine learning, and the development of circular economy models via blockchain. By synthesizing theoretical frameworks with real-world case studies, the contributions illustrate how advanced algorithms can minimize resource waste while maximizing industrial efficiency. Together, these papers offer a roadmap for sustainable digital transformation across energy, healthcare, and urban planning sectors by emphasizing the shift toward "Cognitive Sustainability", where systems do not just automate tasks but actively learn to balance human needs with environmental constraints.This book is an essential resource for academic researchers, post-graduate students, and industry practitioners specializing in computer science and environmental engineering. It also serves policymakers and urban planners seeking data-backed strategies to implement sustainable technologies within smart city infrastructures and corporate ESG frameworks.

The book highlights emerging developments in intelligent computing, communication technologies, robotics, embedded systems, and data-driven innovations that are shaping the future of smart and autonomous systems.This volume brings together multidisciplinary research focusing on artificial intelligence, computational intelligence, smart communication systems, embedded and VLSI technologies, robotics, automation, cybersecurity, cloud computing, data analytics, IoT-enabled platforms, and intelligent decision-making systems. The book explores innovative methodologies, mathematical models, and practical applications that support next-generation technological ecosystems. Contributions include theoretical advancements, simulation-based studies, experimental implementations, and industrial applications in smart environments and AI-integrated systems. The book also discusses recent trends in machine learning, predictive analytics, human-robot interaction, autonomous systems, and sustainable computing architectures, offering valuable insights into the rapidly evolving landscape of communication and computational sciences.The book is intended for researchers, academicians, scientists, industry professionals, postgraduate students, and practitioners working in the domains of artificial intelligence, communication engineering, computer science, robotics, embedded systems, electronics, and data analytics. It serves as a valuable reference for both academic research and industrial innovation.

This book explores emerging advancements in intelligent computing, modern IT infrastructures, and next-generation networking technologies. The book presents contemporary theories, practical implementations, and research trends that integrate artificial intelligence, data-driven systems, and communication networks to solve real-world challenges in academia and industry.The book covers foundational and advanced topics in computational intelligence, including machine learning algorithms, deep learning architecture, evolutionary computing, and fuzzy systems. It further examines information technology frameworks such as cloud computing, big data analytics, cybersecurity mechanisms, and distributed systems. In the networking domain, it discusses Internet of Things (IoT), network security, and performance optimization techniques. Through case studies and applied research findings, the book highlights how intelligent models enhance automation, predictive analysis, and decision-making across sectors like healthcare, smart cities, finance, and education. Emphasis is placed on scalability, efficiency, and integration of AI-driven solutions with modern networking environments. The main findings demonstrate that the convergence of computational intelligence with IT and networking significantly improves system adaptability, resource management, and real-time data processing capabilities.This book is intended for postgraduate students, research scholars, academicians, and industry professionals in computer science, information technology, and electronics engineering. It is particularly valuable for those specializing in artificial intelligence, data science, networking, and cybersecurity who seek updated knowledge on emerging intelligent technologies and integrated computing systems.

The book presents a forward-thinking and interdisciplinary collection of research contributions that seamlessly integrate technological innovation with the principles of sustainability. The core purpose of the book is to foster dialogue and collaboration focused on building intelligent, secure, and environmentally responsible computing systems. As the digital landscape rapidly evolves, ICSDC 2025 addresses the critical need for advanced distributed and intelligent technologies that align with global sustainable development goals.A prominent feature of ICSDC 2025 is its emphasis on Digital Twin technologies. These virtual counterparts of physical systems allow for continuous monitoring, simulation, and lifecycle management of assets. They are increasingly being adopted in sectors such as industrial automation, infrastructure development, environmental monitoring, and healthcare. By providing real-time feedback and scenario modeling, digital twins promote more informed decision-making and efficient use of energy, materials, and human resources. The conference is deeply aligned with the vision of Industry 5.0, which emphasizes human-centric design, ethical AI, and intelligent automation. ICSDC 2025 highlights innovations that prioritize sustainability, resilience, and collaboration between humans and machines. Topics such as federated learning, cyber-physical systems, and context-aware computing are featured prominently, showcasing the potential of emerging technologies to enable a more inclusive and sustainable industrial future. The book includes research on low-power computing architectures, green AI models, edge intelligence, privacy-preserving mechanisms, and secure distributed systems.The intended audience of ICSDC 2025 includes academic researchers, industry practitioners, system architects, and policy decision-makers who are working at the intersection of technology and sustainability. It serves as a strategic reference point for those seeking to design, implement, and scale digital ecosystems that are not only smart and secure but also equitable, human-centric, and environmentally sustainable.

This book presents a curated collection of peer-reviewed research contributions emerging from the International Conference on Frontiers in Engineering, Science, and Technology (ICONFEST 2025). It highlights contemporary innovations, interdisciplinary approaches, and transformative technologies that are shaping the future of engineering and applied sciences.The volume brings together diverse research works spanning computer science, electrical and electronics engineering, mechanical and manufacturing systems, civil and environmental engineering, and materials science. It emphasizes the growing significance of interdisciplinary collaboration in addressing complex real-world challenges. Key themes include artificial intelligence and machine learning applications, intelligent infrastructure, renewable and sustainable energy systems, and advancements in smart manufacturing technologies. The book captures cutting-edge methodologies, experimental findings, and practical implementations, reflecting both theoretical advancements and industry-driven innovations. By integrating perspectives from academia and industry, it demonstrates how convergent research can foster sustainable development and technological progress across multiple domains.This book is intended for researchers, academicians, industry professionals, and postgraduate students engaged in engineering, applied sciences, and emerging technologies. It serves as a valuable reference for those seeking insights into current research trends, interdisciplinary innovations, and practical solutions to contemporary engineering challenges.

The book addresses the exploration of cutting-edge technological advancements.This collection encompasses a comprehensive range of peer-reviewed research across nine strategic tracks, including Robotics and Intelligent Systems, Industrial Automation, IoT, and Cyber-Security. Significant focus is placed on the transformative role of Artificial Intelligence and Machine Learning in specialized domains such as Natural Disaster Management, Space Technology, and Medical Device Research. The findings illustrated within these chapters delve into automated digital manufacturing systems, advanced machine vision, and the integration of smart sensors. By highlighting innovations that foster industrial resilience, the book documents how modern control systems and AI-driven methodologies are being deployed to optimize resource management and solve complex real-world problems. This book is intended for researchers, academic faculty, and postgraduate students specializing in mechatronics, AI, and systems engineering. It is also an essential resource for industry professionals and technical consultants seeking the latest developments in automation, IoT security, and the application of machine learning in high-stakes fields like medicine and disaster recovery.

The book addresses the exploration of cutting-edge technological advancements.This collection encompasses a comprehensive range of peer-reviewed research across nine strategic tracks, including Robotics and Intelligent Systems, Industrial Automation, IoT, and Cyber-Security. Significant focus is placed on the transformative role of Artificial Intelligence and Machine Learning in specialized domains such as Natural Disaster Management, Space Technology, and Medical Device Research. The findings illustrated within these chapters delve into automated digital manufacturing systems, advanced machine vision, and the integration of smart sensors. By highlighting innovations that foster industrial resilience, the book documents how modern control systems and AI-driven methodologies are being deployed to optimize resource management and solve complex real-world problems. This book is intended for researchers, academic faculty, and postgraduate students specializing in mechatronics, AI, and systems engineering. It is also an essential resource for industry professionals and technical consultants seeking the latest developments in automation, IoT security, and the application of machine learning in high-stakes fields like medicine and disaster recovery.

This book aims to foster meaningful dialogue to strategically enhance human capabilities through targeted collaboration with AI to secure sustainable competitive advantage in rapidly evolving marketplaces.Key highlights of the book includes the SDG Youth Challenge, which promotes youth-led sustainable innovations; the Three Minute Thesis (3MT) Competition, empowering postgraduate students to communicate their research effectively; the Postgraduate Colloquium, facilitating mentorship and scholarly exchange, and a panel discussion featuring industry leaders and academics to explore the future of Artificial Intelligence (AI) Human Intelligence (HI) collaboration through action research.The book will serve as a valuable reference to academics, researchers, industry professionals, and policymakers around the globe to share their research findings and discuss current and challenging issues in management, business, and interdisciplinary domains.

This book compiles the proceedings of the Third International Conference on Next-Generation Computing and Information Systems (ICNGCIS 25). It combines high-quality research, practical insights, and scholarly debate spanning traditional domains like distributed computing, networks, and cybersecurity, alongside emerging areas such as AI, IoT, quantum security, and edge computing.The proceedings include papers addressing currently relevant research issues such as smart contract security, interoperability in the metaverse, AI applications in healthcare, agriculture and related domains. The proceedings present findings with real-world implications for modern computing and information systems, addressing key challenges in design, deployment, operations, performance optimization, and limitation mitigation.This book targets researchers from academia and industry, practitioners, students, technology enthusiasts, and general audiences seeking to understand cutting-edge applications, practical use cases, and core principles of modern computing and information systems.

This book explores emerging advancements in intelligent computing, modern IT infrastructures, and next-generation networking technologies. The book presents contemporary theories, practical implementations, and research trends that integrate artificial intelligence, data-driven systems, and communication networks to solve real-world challenges in academia and industry.The book covers foundational and advanced topics in computational intelligence, including machine learning algorithms, deep learning architecture, evolutionary computing, and fuzzy systems. It further examines information technology frameworks such as cloud computing, big data analytics, cybersecurity mechanisms, and distributed systems. In the networking domain, it discusses Internet of Things (IoT), network security, and performance optimization techniques. Through case studies and applied research findings, the book highlights how intelligent models enhance automation, predictive analysis, and decision-making across sectors like healthcare, smart cities, finance, and education. Emphasis is placed on scalability, efficiency, and integration of AI-driven solutions with modern networking environments. The main findings demonstrate that the convergence of computational intelligence with IT and networking significantly improves system adaptability, resource management, and real-time data processing capabilities.This book is intended for postgraduate students, research scholars, academicians, and industry professionals in computer science, information technology, and electronics engineering. It is particularly valuable for those specializing in artificial intelligence, data science, networking, and cybersecurity who seek updated knowledge on emerging intelligent technologies and integrated computing systems.

The book presents a forward-thinking and interdisciplinary collection of research contributions that seamlessly integrate technological innovation with the principles of sustainability. The core purpose of the book is to foster dialogue and collaboration focused on building intelligent, secure, and environmentally responsible computing systems. As the digital landscape rapidly evolves, ICSDC 2025 addresses the critical need for advanced distributed and intelligent technologies that align with global sustainable development goals.A prominent feature of ICSDC 2025 is its emphasis on Digital Twin technologies. These virtual counterparts of physical systems allow for continuous monitoring, simulation, and lifecycle management of assets. They are increasingly being adopted in sectors such as industrial automation, infrastructure development, environmental monitoring, and healthcare. By providing real-time feedback and scenario modeling, digital twins promote more informed decision-making and efficient use of energy, materials, and human resources. The conference is deeply aligned with the vision of Industry 5.0, which emphasizes human-centric design, ethical AI, and intelligent automation. ICSDC 2025 highlights innovations that prioritize sustainability, resilience, and collaboration between humans and machines. Topics such as federated learning, cyber-physical systems, and context-aware computing are featured prominently, showcasing the potential of emerging technologies to enable a more inclusive and sustainable industrial future. The book includes research on low-power computing architectures, green AI models, edge intelligence, privacy-preserving mechanisms, and secure distributed systems.The intended audience of ICSDC 2025 includes academic researchers, industry practitioners, system architects, and policy decision-makers who are working at the intersection of technology and sustainability. It serves as a strategic reference point for those seeking to design, implement, and scale digital ecosystems that are not only smart and secure but also equitable, human-centric, and environmentally sustainable.

This book presents a curated collection of peer-reviewed research contributions emerging from the International Conference on Frontiers in Engineering, Science, and Technology (ICONFEST 2025). It highlights contemporary innovations, interdisciplinary approaches, and transformative technologies that are shaping the future of engineering and applied sciences.The volume brings together diverse research works spanning computer science, electrical and electronics engineering, mechanical and manufacturing systems, civil and environmental engineering, and materials science. It emphasizes the growing significance of interdisciplinary collaboration in addressing complex real-world challenges. Key themes include artificial intelligence and machine learning applications, intelligent infrastructure, renewable and sustainable energy systems, and advancements in smart manufacturing technologies. The book captures cutting-edge methodologies, experimental findings, and practical implementations, reflecting both theoretical advancements and industry-driven innovations. By integrating perspectives from academia and industry, it demonstrates how convergent research can foster sustainable development and technological progress across multiple domains.This book is intended for researchers, academicians, industry professionals, and postgraduate students engaged in engineering, applied sciences, and emerging technologies. It serves as a valuable reference for those seeking insights into current research trends, interdisciplinary innovations, and practical solutions to contemporary engineering challenges.

This compilation of papers captures the essence of the International Conference on Smart Systems for Sustainable Development using Advanced Computational Techniques (ICSSA 2025). It provides a comprehensive exploration of how next-generation computing drives ecological and social resilience and highlights the pivotal role of intelligent automation and data-driven strategies in solving complex global challenges.It delves into the integration of Artificial Intelligence (AI), Internet of Things (IoT), and high-performance computing to create "green" technological ecosystems. This book covers a broad spectrum of research, including smart grid management, precision agriculture, carbon footprint optimization through machine learning, and the development of circular economy models via blockchain. By synthesizing theoretical frameworks with real-world case studies, the contributions illustrate how advanced algorithms can minimize resource waste while maximizing industrial efficiency. Together, these papers offer a roadmap for sustainable digital transformation across energy, healthcare, and urban planning sectors by emphasizing the shift toward "Cognitive Sustainability", where systems do not just automate tasks but actively learn to balance human needs with environmental constraints.This book is an essential resource for academic researchers, post-graduate students, and industry practitioners specializing in computer science and environmental engineering. It also serves policymakers and urban planners seeking data-backed strategies to implement sustainable technologies within smart city infrastructures and corporate ESG frameworks.

This book aims to foster meaningful dialogue to strategically enhance human capabilities through targeted collaboration with AI to secure sustainable competitive advantage in rapidly evolving marketplaces.Key highlights of the book includes the SDG Youth Challenge, which promotes youth-led sustainable innovations; the Three Minute Thesis (3MT) Competition, empowering postgraduate students to communicate their research effectively; the Postgraduate Colloquium, facilitating mentorship and scholarly exchange, and a panel discussion featuring industry leaders and academics to explore the future of Artificial Intelligence (AI) Human Intelligence (HI) collaboration through action research.The book will serve as a valuable reference to academics, researchers, industry professionals, and policymakers around the globe to share their research findings and discuss current and challenging issues in management, business, and interdisciplinary domains.

The International Conference on Sustainable Developments in Computer Engineering, Green Technology and Smart Systems (ICSDS 2025) brings together groundbreaking contemporary insights and intelligent technological solutions in the fields of computer engineering, green computing, smart systems, artificial intelligence, Internet of Things, data science, and cybersecurity.The chapters in this volume provide an integrated analysis of energy-efficient, environmentally sustainable, and technologically resilient building systems. Combining foundational principles with applied methodologies, the book addresses contemporary challenges in intelligent automation, sustainable communication networks, secure digital infrastructures, and smart industrial applications.By integrating interdisciplinary research with real-world applications, this publication serves as a valuable resource for researchers, practitioners, and policymakers committed to shaping sustainable technological ecosystems for the future.

This compilation of papers captures the essence of the International Conference on Smart Systems for Sustainable Development using Advanced Computational Techniques (ICSSA 2025). It provides a comprehensive exploration of how next-generation computing drives ecological and social resilience and highlights the pivotal role of intelligent automation and data-driven strategies in solving complex global challenges.It delves into the integration of Artificial Intelligence (AI), Internet of Things (IoT), and high-performance computing to create "green" technological ecosystems. This book covers a broad spectrum of research, including smart grid management, precision agriculture, carbon footprint optimization through machine learning, and the development of circular economy models via blockchain. By synthesizing theoretical frameworks with real-world case studies, the contributions illustrate how advanced algorithms can minimize resource waste while maximizing industrial efficiency. Together, these papers offer a roadmap for sustainable digital transformation across energy, healthcare, and urban planning sectors by emphasizing the shift toward "Cognitive Sustainability", where systems do not just automate tasks but actively learn to balance human needs with environmental constraints.This book is an essential resource for academic researchers, post-graduate students, and industry practitioners specializing in computer science and environmental engineering. It also serves policymakers and urban planners seeking data-backed strategies to implement sustainable technologies within smart city infrastructures and corporate ESG frameworks.

The book highlights emerging developments in intelligent computing, communication technologies, robotics, embedded systems, and data-driven innovations that are shaping the future of smart and autonomous systems.This volume brings together multidisciplinary research focusing on artificial intelligence, computational intelligence, smart communication systems, embedded and VLSI technologies, robotics, automation, cybersecurity, cloud computing, data analytics, IoT-enabled platforms, and intelligent decision-making systems. The book explores innovative methodologies, mathematical models, and practical applications that support next-generation technological ecosystems. Contributions include theoretical advancements, simulation-based studies, experimental implementations, and industrial applications in smart environments and AI-integrated systems. The book also discusses recent trends in machine learning, predictive analytics, human-robot interaction, autonomous systems, and sustainable computing architectures, offering valuable insights into the rapidly evolving landscape of communication and computational sciences.The book is intended for researchers, academicians, scientists, industry professionals, postgraduate students, and practitioners working in the domains of artificial intelligence, communication engineering, computer science, robotics, embedded systems, electronics, and data analytics. It serves as a valuable reference for both academic research and industrial innovation.

This book explores emerging advancements in intelligent computing, modern IT infrastructures, and next-generation networking technologies. The book presents contemporary theories, practical implementations, and research trends that integrate artificial intelligence, data-driven systems, and communication networks to solve real-world challenges in academia and industry.The book covers foundational and advanced topics in computational intelligence, including machine learning algorithms, deep learning architecture, evolutionary computing, and fuzzy systems. It further examines information technology frameworks such as cloud computing, big data analytics, cybersecurity mechanisms, and distributed systems. In the networking domain, it discusses Internet of Things (IoT), network security, and performance optimization techniques. Through case studies and applied research findings, the book highlights how intelligent models enhance automation, predictive analysis, and decision-making across sectors like healthcare, smart cities, finance, and education. Emphasis is placed on scalability, efficiency, and integration of AI-driven solutions with modern networking environments. The main findings demonstrate that the convergence of computational intelligence with IT and networking significantly improves system adaptability, resource management, and real-time data processing capabilities.This book is intended for postgraduate students, research scholars, academicians, and industry professionals in computer science, information technology, and electronics engineering. It is particularly valuable for those specializing in artificial intelligence, data science, networking, and cybersecurity who seek updated knowledge on emerging intelligent technologies and integrated computing systems.

The book presents a forward-thinking and interdisciplinary collection of research contributions that seamlessly integrate technological innovation with the principles of sustainability. The core purpose of the book is to foster dialogue and collaboration focused on building intelligent, secure, and environmentally responsible computing systems. As the digital landscape rapidly evolves, ICSDC 2025 addresses the critical need for advanced distributed and intelligent technologies that align with global sustainable development goals.A prominent feature of ICSDC 2025 is its emphasis on Digital Twin technologies. These virtual counterparts of physical systems allow for continuous monitoring, simulation, and lifecycle management of assets. They are increasingly being adopted in sectors such as industrial automation, infrastructure development, environmental monitoring, and healthcare. By providing real-time feedback and scenario modeling, digital twins promote more informed decision-making and efficient use of energy, materials, and human resources. The conference is deeply aligned with the vision of Industry 5.0, which emphasizes human-centric design, ethical AI, and intelligent automation. ICSDC 2025 highlights innovations that prioritize sustainability, resilience, and collaboration between humans and machines. Topics such as federated learning, cyber-physical systems, and context-aware computing are featured prominently, showcasing the potential of emerging technologies to enable a more inclusive and sustainable industrial future. The book includes research on low-power computing architectures, green AI models, edge intelligence, privacy-preserving mechanisms, and secure distributed systems.The intended audience of ICSDC 2025 includes academic researchers, industry practitioners, system architects, and policy decision-makers who are working at the intersection of technology and sustainability. It serves as a strategic reference point for those seeking to design, implement, and scale digital ecosystems that are not only smart and secure but also equitable, human-centric, and environmentally sustainable.

This book presents a curated collection of peer-reviewed research contributions emerging from the International Conference on Frontiers in Engineering, Science, and Technology (ICONFEST 2025). It highlights contemporary innovations, interdisciplinary approaches, and transformative technologies that are shaping the future of engineering and applied sciences.The volume brings together diverse research works spanning computer science, electrical and electronics engineering, mechanical and manufacturing systems, civil and environmental engineering, and materials science. It emphasizes the growing significance of interdisciplinary collaboration in addressing complex real-world challenges. Key themes include artificial intelligence and machine learning applications, intelligent infrastructure, renewable and sustainable energy systems, and advancements in smart manufacturing technologies. The book captures cutting-edge methodologies, experimental findings, and practical implementations, reflecting both theoretical advancements and industry-driven innovations. By integrating perspectives from academia and industry, it demonstrates how convergent research can foster sustainable development and technological progress across multiple domains.This book is intended for researchers, academicians, industry professionals, and postgraduate students engaged in engineering, applied sciences, and emerging technologies. It serves as a valuable reference for those seeking insights into current research trends, interdisciplinary innovations, and practical solutions to contemporary engineering challenges.

The book addresses the exploration of cutting-edge technological advancements.This collection encompasses a comprehensive range of peer-reviewed research across nine strategic tracks, including Robotics and Intelligent Systems, Industrial Automation, IoT, and Cyber-Security. Significant focus is placed on the transformative role of Artificial Intelligence and Machine Learning in specialized domains such as Natural Disaster Management, Space Technology, and Medical Device Research. The findings illustrated within these chapters delve into automated digital manufacturing systems, advanced machine vision, and the integration of smart sensors. By highlighting innovations that foster industrial resilience, the book documents how modern control systems and AI-driven methodologies are being deployed to optimize resource management and solve complex real-world problems. This book is intended for researchers, academic faculty, and postgraduate students specializing in mechatronics, AI, and systems engineering. It is also an essential resource for industry professionals and technical consultants seeking the latest developments in automation, IoT security, and the application of machine learning in high-stakes fields like medicine and disaster recovery.

The book addresses the exploration of cutting-edge technological advancements.This collection encompasses a comprehensive range of peer-reviewed research across nine strategic tracks, including Robotics and Intelligent Systems, Industrial Automation, IoT, and Cyber-Security. Significant focus is placed on the transformative role of Artificial Intelligence and Machine Learning in specialized domains such as Natural Disaster Management, Space Technology, and Medical Device Research. The findings illustrated within these chapters delve into automated digital manufacturing systems, advanced machine vision, and the integration of smart sensors. By highlighting innovations that foster industrial resilience, the book documents how modern control systems and AI-driven methodologies are being deployed to optimize resource management and solve complex real-world problems. This book is intended for researchers, academic faculty, and postgraduate students specializing in mechatronics, AI, and systems engineering. It is also an essential resource for industry professionals and technical consultants seeking the latest developments in automation, IoT security, and the application of machine learning in high-stakes fields like medicine and disaster recovery.

This book aims to foster meaningful dialogue to strategically enhance human capabilities through targeted collaboration with AI to secure sustainable competitive advantage in rapidly evolving marketplaces.Key highlights of the book includes the SDG Youth Challenge, which promotes youth-led sustainable innovations; the Three Minute Thesis (3MT) Competition, empowering postgraduate students to communicate their research effectively; the Postgraduate Colloquium, facilitating mentorship and scholarly exchange, and a panel discussion featuring industry leaders and academics to explore the future of Artificial Intelligence (AI) Human Intelligence (HI) collaboration through action research.The book will serve as a valuable reference to academics, researchers, industry professionals, and policymakers around the globe to share their research findings and discuss current and challenging issues in management, business, and interdisciplinary domains.