This book introduces new and innovative science and technology research and development toward supporting sustainable economic development and protecting the environment. It explores how emergent and eco-technologies are reshaping major sectors toward sustainability goals at global level. Addressing new studies, industrial case studies, numerous disciplinary research, this book gives insights of research in topics like green material, renewable energy, smart city, AI driven environmental monitoring, the circular economy, the sustainable agriculture, the water conservation, and green movement. Advanced results in these areas are very important because of the challenges which include climate change, loss of resources, and over-exploitation of industries. This book connects technology, policy, science, and history to demonstrate how these costs, trade-offs can be transformed into opportunities for innovative solutions and growth with lesser the impacts of natural disasters while strengthening the economy success. This book describes scalable practices, disruptive new approaches, and case studies that show the reader how to adopt sustainable practices for ecological balance and with economic success. This book addresses how digitization, smart system like AI, IoT, blockchain can support sustainable governance with sustainable utilization of resources. This book also covers awareness and opportunities for educational reform needed to produce an environmentally aware and sustainable society. Some of the challenges covered by this book are the risk of dispersed innovation activities, the absence of integration between sustainable and engineering practices, and most notably, the restricted spread of eco-technology in industrial systems. The objective of the book is to bridge these gaps by providing an integrated perspective and evidence-based case study solutions. The proposed book is useful to academicians, engineers, environmental scientists, policy makers, graduate and postgraduate students, and all those readers who want sustainable solutions for innovation and green technology prospective.

This book provides a deep dive into how Generative Artificial Intelligence is fostering innovation apart from being impactful, and key problems that affect the healthcare ecosystem as a whole are now being solved. With the rapid rise of Generative Artificial Intelligence (AI), industries are changing rapidly, and healthcare is no exception. Generative AI, as a transformative subset of AI, has the extraordinary ability to create new data, simulate scenarios, and optimize complex processes. Its potential for medical diagnostics and drug development is beyond doubt and it is born to revolutionize medical research and Personalized treatment. Reasoning subtitled Generative AI for Healthcare, this exploratory volume on cutting-edge technology's profound impact on modern medicine is based on years of dedicated research. Key highlights include:·         Using Generative AI to actually produce synthetic teaching sets and consequently re-armed medical-solving equipment will in turn enhance diagnosis and accuracy·         Reducing the amount of time and costs for developing drugs by means of artificial intelligence, by iterating through virtual compounds and simulating molecular environments·         Creating personalized treatment strategies out of specific patient profiles that embrace precision medicine, improving outcomes·         Simulating medical scenarios to measure the effectiveness of a cure in advance expensive, high-risk trials, the profound secrets behind complex diseases are slowly coming to light.This book is designed to help the next generation of healthcare practices address research gaps, regulatory challenges, ethical considerations, and other concerns. Balancing rich case studies with practical insights and forward -looking ideas, this book aims to link up the promise of technological innovation in healthcare with its real application. The book also highlights the need for responsible AI adoption, addressing issues such as data privacy, bias reduction in models, explainable and reliable AI systems. The goal is to provide healthcare professionals, researchers and policy makers with knowledge and tools needed to use Generative AI responsibly and effectively. Whether you are a healthcare provider, AI researcher or industry innovator, Generative AI for Healthcare gives you an essential primer on how AI can be applied to transform patient care outcomes, drive medical research forward -- and even shape the future of healthcare itself.

The book involves the original research and practical implementations presented at the International Conference on Smart Systems for Sustainable Development (SSSD 2025). This volume provides smart systems and data-driven inventions contributing to sustainable development across various disciplines. It offers a multidisciplinary perspective of how artificial intelligence (AI), machine learning, internet of things, and optimization techniques are being integrated to address challenging real-world problems in the areas of climate, energy, healthcare, agriculture, infrastructure, etc. The volume is interdisciplinary, illustrating knowledge from fields such as engineering, computer science, environmental science, and industrial technology, presenting researchers with the information desired to solve demanding societal issues. Contributions cover theoretical developments in deep learning, swarm intelligence, and cyber-physical systems, applied research for sensor networks, blockchain, forecasting models, etc. Integrating intelligent decision-making with issues of global accessibility and international sustainability, the book aims to contribute to the main global challenges set out in the United Nations Sustainable Development Goals (SDGs). The introduction of coverage of optimization frameworks, intelligent automation, predictive analytics, and interdisciplinary system design makes the book a value addition for the readers with everything they need to develop resilient and energy-efficient ecosystems in today's digital world. In addition, applied case studies and hybrid methods are presented. This book is an important resource for researchers, academics, graduate students, engineers, data scientists, and industrial professionals interested in using novel methods to advance sustainability, intelligent transportation, environmental science, and artificial intelligence for sustainable development.

This book introduces new and innovative science and technology research and development toward supporting sustainable economic development and protecting the environment. It explores how emergent and eco-technologies are reshaping major sectors toward sustainability goals at global level. Addressing new studies, industrial case studies, numerous disciplinary research, this book gives insights of research in topics like green material, renewable energy, smart city, AI driven environmental monitoring, the circular economy, the sustainable agriculture, the water conservation, and green movement. Advanced results in these areas are very important because of the challenges which include climate change, loss of resources, and over-exploitation of industries. This book connects technology, policy, science, and history to demonstrate how these costs, trade-offs can be transformed into opportunities for innovative solutions and growth with lesser the impacts of natural disasters while strengthening the economy success. This book describes scalable practices, disruptive new approaches, and case studies that show the reader how to adopt sustainable practices for ecological balance and with economic success. This book addresses how digitization, smart system like AI, IoT, blockchain can support sustainable governance with sustainable utilization of resources. This book also covers awareness and opportunities for educational reform needed to produce an environmentally aware and sustainable society. Some of the challenges covered by this book are the risk of dispersed innovation activities, the absence of integration between sustainable and engineering practices, and most notably, the restricted spread of eco-technology in industrial systems. The objective of the book is to bridge these gaps by providing an integrated perspective and evidence-based case study solutions. The proposed book is useful to academicians, engineers, environmental scientists, policy makers, graduate and postgraduate students, and all those readers who want sustainable solutions for innovation and green technology prospective.

This book provides a deep dive into how Generative Artificial Intelligence is fostering innovation apart from being impactful, and key problems that affect the healthcare ecosystem as a whole are now being solved. With the rapid rise of Generative Artificial Intelligence (AI), industries are changing rapidly, and healthcare is no exception. Generative AI, as a transformative subset of AI, has the extraordinary ability to create new data, simulate scenarios, and optimize complex processes. Its potential for medical diagnostics and drug development is beyond doubt and it is born to revolutionize medical research and Personalized treatment. Reasoning subtitled Generative AI for Healthcare, this exploratory volume on cutting-edge technology's profound impact on modern medicine is based on years of dedicated research. Key highlights include:·         Using Generative AI to actually produce synthetic teaching sets and consequently re-armed medical-solving equipment will in turn enhance diagnosis and accuracy·         Reducing the amount of time and costs for developing drugs by means of artificial intelligence, by iterating through virtual compounds and simulating molecular environments·         Creating personalized treatment strategies out of specific patient profiles that embrace precision medicine, improving outcomes·         Simulating medical scenarios to measure the effectiveness of a cure in advance expensive, high-risk trials, the profound secrets behind complex diseases are slowly coming to light.This book is designed to help the next generation of healthcare practices address research gaps, regulatory challenges, ethical considerations, and other concerns. Balancing rich case studies with practical insights and forward -looking ideas, this book aims to link up the promise of technological innovation in healthcare with its real application. The book also highlights the need for responsible AI adoption, addressing issues such as data privacy, bias reduction in models, explainable and reliable AI systems. The goal is to provide healthcare professionals, researchers and policy makers with knowledge and tools needed to use Generative AI responsibly and effectively. Whether you are a healthcare provider, AI researcher or industry innovator, Generative AI for Healthcare gives you an essential primer on how AI can be applied to transform patient care outcomes, drive medical research forward -- and even shape the future of healthcare itself.

The book involves the original research and practical implementations presented at the International Conference on Smart Systems for Sustainable Development (SSSD 2025). This volume provides smart systems and data-driven inventions contributing to sustainable development across various disciplines. It offers a multidisciplinary perspective of how artificial intelligence (AI), machine learning, internet of things, and optimization techniques are being integrated to address challenging real-world problems in the areas of climate, energy, healthcare, agriculture, infrastructure, etc. The volume is interdisciplinary, illustrating knowledge from fields such as engineering, computer science, environmental science, and industrial technology, presenting researchers with the information desired to solve demanding societal issues. Contributions cover theoretical developments in deep learning, swarm intelligence, and cyber-physical systems, applied research for sensor networks, blockchain, forecasting models, etc. Integrating intelligent decision-making with issues of global accessibility and international sustainability, the book aims to contribute to the main global challenges set out in the United Nations Sustainable Development Goals (SDGs). The introduction of coverage of optimization frameworks, intelligent automation, predictive analytics, and interdisciplinary system design makes the book a value addition for the readers with everything they need to develop resilient and energy-efficient ecosystems in today's digital world. In addition, applied case studies and hybrid methods are presented. This book is an important resource for researchers, academics, graduate students, engineers, data scientists, and industrial professionals interested in using novel methods to advance sustainability, intelligent transportation, environmental science, and artificial intelligence for sustainable development.