Most modern systems involve various engineering disciplines. Mechatronic systems are designed to be dependable and efficient; however, mechatronics engineering faces multiple challenges at the design and exploitation stages. It is essential for engineers to be aware of these challenges and remain up to date with the emerging research in the mechatronics engineering field. Trends, Paradigms, and Advances in Mechatronics Engineering presents the latest advances and applications of mechatronics. It highlights the recent challenges in the field and facilitates understanding of the subject. Covering topics such as the construction industry, design optimization, and low-cost fabrication, this premier reference source is a crucial resource for engineers, computer scientists, construction managers, students and educators of higher education, librarians, researchers, and academicians.

Renewable energy is crucial to preserve the environment. This energy involves various systems that should be optimized and assessed to provide better performance. The goal of this book is to present the latest research works on nature-inspired computing approaches applied to the design and development of renewable energy systems. The design and development of renewable energy systems remain a challenge. This book focuses on nature-inspired computing approaches which are the most prevailing solutions. Therefore, the book provides new solutions to the renewable energy domain. It is an essential research book for researchers, students, engineers, and individuals working in the renewable energy industry.

Technology in today's world has continued to develop into multifaceted structures. The performance of computers, specifically, has significantly increased leading to various and complex problems regarding the dependability of these systems. Recently, solutions for these issues have been based on soft computing methods; however, there lacks a considerable amount of research on the applications of these techniques within system dependability. Soft Computing Methods for System Dependability is a collection of innovative research on the applications of these processing techniques for solving problems within the dependability of computer system performance. This book will feature comparative experiences shared by researchers regarding the development of these technological solutions. While highlighting topics including evolutionary computing, chaos theory, and artificial neural networks, this book is ideally designed for researchers, data scientists, computing engineers, industrialists, students, and academicians in the field of computer science.