In today’s world, the concept of a circular economy has emerged as a vital solution to address pressing environmental concerns and foster sustainable development. At its core, the circular economy aims to minimize waste generation by keeping resources in use for as long as possible, thereby reducing the strain on natural ecosystems and promoting resource efficiency.Operations research and data science play a crucial role in implementing circular economy principles by bridging the g...

This book provides a comprehensive compilation of the latest research and advancements presented at the First International Symposium on Biomechatronics and Robotics in Healthcare (BioMRH 2025). The proceedings cover key topics such as the integration of robotic systems in healthcare, biomechatronics for rehabilitation, smart biomaterials, AI and machine learning in medical diagnostics and treatment, human-machine interfaces, and ethical challenges in healthcare robotics. By exploring how ...

This book constitutes the refereed post-conference proceedings of the 16th International Conference on Artificial Evolution, EA 2024, held in Bordeaux, France, during October 29–31, 2024.The 16 full papers were carefully reviewed and selected from 30 submissions. The papers cover a wide range of topics in the field of artificial evolution, including Algorithmics and Modeling, Implementations, Application of Evolutionary Paradigms to the Real World industry, biosciences, Machine Lea...

The escalating tide of waste and environmental threats demands a paradigm shift in how we produce and consume waste. The circular economy emerges as a beacon of hope, offering a transformative approach that breaks free from the traditional "take make dispose" model. This innovative system prioritizes sustainable practices throughout a product's lifecycle, promoting reuse, recycling, and regeneration. By fostering the development of robust and closed loop supply chains, the circular economy...

This book provides a comprehensive compilation of the latest research and advancements presented at the First International Symposium on Biomechatronics and Robotics in Healthcare (BioMRH 2025). The proceedings cover key topics such as the integration of robotic systems in healthcare, biomechatronics for rehabilitation, smart biomaterials, AI and machine learning in medical diagnostics and treatment, human-machine interfaces, and ethical challenges in healthcare robotics. By exploring how ...

This book LNICST 617 constitutes the refereed proceedings of the 12th EAI International Conference on Cloud Computing, CloudComp 2024, held in Luton, UK, during September 9–10, 2024.The 16 full papers were carefully reviewed and selected from 42 submissions. The proceedings focus on topics such asThe Cloud-Edging ComputingWireless Networks; Network SecurityEmerging Applications /The Cloud-Edging Integration Applications

This book provides a comprehensive review of the latest research in the area of explainable artificial intelligence (XAI) in health informatics. It focuses on how explainable AI models can work together with humans to assist them in decision-making, leading to improved diagnosis and prognosis in healthcare. This book includes a collection of techniques and systems of XAI in health informatics and gives a wider perspective about the impact created by them. The book covers the different aspe...

This book delves into practical implementation of evolutionary and metaheuristic algorithms to advance the capacity of machine learning. The readers can gain insight into the capabilities of data-driven evolutionary optimization in materials mechanics, and optimize your learning algorithms for maximum efficiency. Or unlock the strategies behind hyperparameter optimization to enhance your transfer learning algorithms, yielding remarkable outcomes. Or embark on an illuminating journey throug...

This book examines the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms with applications in information security for digital media. It highlights the importance of several security parameters, their analysis, and validations for different practical applications. Drawing on multidisciplinary research including computer vision, machine learning, artificial intelligence, and modified/newly developed metaheuristics algorithms, it will enhance information sec...

Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from bo...

This book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solutions for the same. Uncertainty influences the behaviour of the market to a great extent. Global pandemics and calamities are other factors which affect and augment unpredictability in the market. The intent of this book is to develop mathematical structures for different aspects of allocation ...

This book is a guide to the combination of the Internet of Things (IoT) and the Semantic Web, covering a variety of tools, technologies and applications that serve the myriad needs of the researchers in this field. It provides a multi dimensional view of the concepts, tools, techniques and issues that are involved in the development of semantics for the Web of Things.The various aspects studied in this book include Multi-Model Multi-Platform (SHM3P) databases for the IoT, clusterin...