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...

This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a mult...

Graph partitioning is a theoretical subject with applications in many areas, principally: numerical analysis, programs mapping onto parallel architectures, image segmentation, VLSI design. During the last 40 years, the literature has strongly increased and big improvements have been made.This book brings together the knowledge accumulated during many years to extract both theoretical foundations of graph partitioning and its main applications.

Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in recent years, in terms of real impact. The aim of this book is to present some of the innovative techniques in the field of optimization and machine learning, and to demonstrate how to apply them in the fields of engineering.Optimization and Machine Learning presents modern advances in the selection, configuration and engineeri...

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...

This book highlights recent research on intelligent systems and nature-inspired computing. It presents 50 selected papers focused on Information and Network Security from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India, and in online mode. The ISDA is a premier conference in the field of artificial inte...

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 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...

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 highlights the recent research on soft computing, pattern recognition, nature-inspired computing, and their various practical applications. It presents 69 selected papers from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) and 19 papers from the 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022), which was held online, from December 14 to 16, 2022. A premier conference in the field of soft computing, artificia...

This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective.Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering ...