As the world grapples with pressing environmental challenges, the need for sustainable solutions has never been more urgent. From climate change to resource depletion, our planet faces unprecedented threats that require immediate action. Revolutionizing Automated Waste Treatment Systems: IoT and Bioelectronics emerge as a beacon of hope, offering comprehensive insights and practical guidance to address these critical issues. By delving into the principles and applications of green technologies, this book presents a roadmap towards a greener, more sustainable future. Recognizing the essential role that green technologies play in mitigating environmental degradation, this book emphasizes concepts such as smart technologies, bioelectronics, and the internet of things. It also illustrates how these innovations can be leveraged to create a more sustainable world. Readers will be educated on the importance of adopting these technologies, and the book provides actionable strategies for implementation. Use this impressive resource to grasp a more holistic approach to environmental sustainability, from designing green infrastructure to managing water resources.

Management has always been a multifaceted and continuously changing aspect of the business world. Today, with the introduction of revolutionary technology, working environments, and new individual attitudes, it is essential to understand more information than ever. A comprehensive knowledge of the interworking of accounting, behavior, decision making, strategy, data, marketing, and revenue management is a must for any manager to act as efficiently and effectively as possible. Modern Management Science Practices in the Age of AI offers a thorough and interdisciplinary exploration of management, addressing key aspects such as challenge resolution, strategic planning, execution, and performance measurement. It refines and transforms organizational operations across various sectors including public, private, and civil society. Drawing on insights from global scholars, researchers, and practitioners, the volume provides a rich collection of contemporary knowledge that is invaluable for both academics and practitioners. By integrating these diverse fields, the book equips both researchers and organizational managers with the tools needed to adapt and thrive in a rapidly evolving environment.

Experience the forefront of healthcare innovation the essential volume edited by Nilmini Wickramasinghe of La Trobe University. In today’s field of healthcare, the demand for high-quality care, accessible to all, has never been more pressing. However, traditional models struggle to meet these demands, leaving gaps in delivery and outcomes. The solution lies in harnessing the power of digital technologies to revolutionize healthcare delivery. Impact of Digital Solutions for Improved Healthcare Delivery offers a comprehensive exploration of how digital solutions—from AI and analytics to sensors and IoT—are reshaping the healthcare industry. By examining key advancements and practical applications, contributors present a roadmap for leveraging digital platforms and ecosystems to co-create value and drive better clinical outcomes. From telemedicine to personalized healthcare platforms, each chapter offers actionable insights and real-world case studies, empowering academic scholars to lead the charge in digital transformation.

The book presents the latest developments in intelligent communication networks based on applicability from various domains of artificial intelligence and machine learning including channel modeling, model-based structure, channel prediction, and signal detection. It further explains important topics such as vehicular mobility modeling, human-centric network applications, security and privacy in social networks, and trust-based intelligent transportation systems. This book: Presents a model-based approach to constructing an effective network by using state-of-the-art artificial intelligent techniques. Discusses the theoretical and practical applications of channel prediction and signal detection. Introduces the fundamental concepts and application of vehicular networks in conjunction with artificial intelligence. Explores wireless communication network techniques enabled by human-centric applications, designed, and developed with artificial intelligence characteristics. Highlights the challenges in designing and developing an effective and intelligent communication network that can be applied in different domains of human activities for finding sustainable solutions. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and information technology.

In an increasingly complex world, decision-makers face the challenge of optimizing multiple conflicting objectives across various scenarios. Multi-Criteria Decision-Making (MCDM) techniques have emerged as essential tools for addressing these challenges and offer methods to evaluate alternatives and minimize subjectivity. As the landscape of MCDM evolves with new approaches such as fuzzy set theory, rough set theory, and neutrosophic set theory, decision-making in situations involving varied and complex data becomes more reliable and consistent. Recent Theories and Applications for Multi-Criteria Decision-Making explores the latest trends and innovations in this field. The book includes thought-provoking input from renowned researchers who cover case studies, real-world applications, challenges, and cutting-edge methodologies. It highlights the integration of advanced technologies such as AI, big data, and IoT with MCDM, while offering practical insights into strategic decision-making in today's digital age. This volume serves as a valuable resource for scholars, practitioners, and researchers keen to improve their decision-making capacity.

Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid is a comprehensive guide that delves into the intricate world of renewable energy integration and its impact on electrical systems. With the current global energy crisis and the urgent need to address climate change, this book explores the latest advancements and research surrounding optimization techniques in the realm of renewable energy. This book has a focus on nature-inspired and meta-heuristic optimization methods, and it demonstrates how these techniques have revolutionized renewable energy problem-solving and their application in real-world scenarios. It examines the challenges and opportunities in achieving a larger utilization of renewable energy sources to reduce carbon emissions and air pollutants while meeting renewable portfolio standards and enhancing energy efficiency. This book serves as a valuable resource for researchers, academicians, industry delegates, scientists, and final-year master's degree students. It covers a wide range of topics, including novel power generation technology, advanced energy conversion systems, low-carbon technology in power generation and smart grids, AI-based control strategies, data analytics, electrified transportation infrastructure, and grid-interactive building infrastructure.

Rampant deforestation, rising carbon emissions, and more unprecedented threats are creating chaos and turmoil for the environment. The delicate balance between nature and humanity seems to waver on the brink of collapse. Climate change exacerbates standard occurrences of natural disasters, and endangers countless species. Amid these daunting challenges, the need for comprehensive research and actionable solutions has never been greater. Global Challenges for the Environment and Climate Change draws upon the latest research and empirical findings, and offers a roadmap for navigating the complexities of our interconnected world. Exploring topics such as climate change, sustainable consumption, and global governance equips readers with the knowledge and insights needed to effect meaningful change.