Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants presents the development process of new artificial intelligent charging systems for battery powered implants that can last for a lifetime after implantation. This book introduces new strategies to address the limitations of technologies that have been employed to improve the lifespan of medical implants. This book also provides guidelines that medical implant manufacturers can adopt during their product development stages - this adds a new dimension of research on medical device implants that can be a game changer for the artificial intelligent (AI) medical implants industry. Researchers, engineers, and graduate students in the fields of biomedical engineering, electrical engineering, and computer science will find this text helpful as they seek to understand the potential of AI systems to help achieve sustainability in healthcare and make current medical implants relevant in the future.
Advances in Cancer Biomarkers Research provides a thorough and detailed description of cancer biomarkers for diagnostic, prognostic and therapeutics in several cancer types. The book presents a compendium of topics related to current advanced research, along with fundamental knowledge that will help readers fully comprehend the field of cancer biomarkers. Topics discussed include such the role of genetic mechanisms, epigenetics, DNA and microRNA in different cancers, signaling pathways and exosomes. In addition, the book discusses biomarker research applied to several cancer types, such as head and neck, urological, lung, bone tumors, hematological and neurological malignancies and breast cancers.This will be a valuable resource for cancer researchers, oncologists, graduate students and members of the biomedical field who are interested in the potential of biomarkers in cancer research and treatment.
Developments in Reliability Engineering equips its audience with the necessary information to keep up with the latest original research and state-of-the-art advances in reliability engineering. The book offers an excursus from historical theories and methods to present-world, practical utility of these concepts, along with worked-out examples. Modern systems have become increasingly complex to design and build while the demand for reliability and cost-effective enhancement continues. Robust international competition has further intensified the need for all designers, managers, practitioners, scientists, and engineers to ensure a level of reliability of their products and processes before release at the lowest cost.
Handbook of Robotic Surgery serves as a primer covering the main areas of knowledge in robotic surgery. This comprehensive book provides essential information on all aspects related to robotic surgery, from the present up to the future. Sections range from the historical background of robotic surgery up to more recent and future technological innovations such as remote controls, surgically distant collaboration, simulators, modern surgical robotics, fluorescence guided surgery, and virtual reality. The book also contains sections dedicated to the safety conditions in surgery and patient protection, which will be suitable for surgeons, health professionals, biomedical engineering professionals, and students.
Biomechatronics is rapidly becoming one of the most influential and innovative research directions defining the 21st century. The second edition Biomechatronics provides a complete and up-to-date account of this advanced subject at the university textbook level. This new edition introduces two new chapters – Animals Biomechatronics and Plants Biomechatronics – highlighting the importance of the rapidly growing world population and associated challenges with food production. Each chapter is co-authored by top experts led by Professor Marko B. Popovic, researcher and educator at the forefront of advancements in this fascinating field. Starting with an introduction to the historical background of Biomechatronics, this book covers recent breakthroughs in artificial organs and tissues, prosthetic limbs, neural interfaces, orthotic systems, wearable systems for physical augmentation, physical therapy and rehabilitation, robotic surgery, natural and synthetic actuators, sensors, and control systems. A number of practice prompts and solutions are provided at the end of the book. The second edition of Biomechatronics is a result of dedicated work of a team of more than 30 contributors from all across the globe including top researchers and educators in the United States (Popovic, Lamkin-Kennard, Herr, Sinyukov, Troy, Goodworth, Johnson, Kaipa, Onal, Bowers, Djuric, Fischer, Ji, Jovanovic, Luo, Padir, Tetreault), Japan (Tashiro, Iraminda, Ohta, Terasawa), Sweden (Boyraz), Turkey (Arslan, Karabulut, Ortes), Germany (Beckerle and Wiliwacher), New Zealand (Liarokapis), Switzerland (Dobrev), and Serbia (Lazarevic).
Siddhartha Bhattacharyya, Mario Koeppen, Debashis De + 1 more
August 1, 2024
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Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications focuses on recent, up-to-date technologies, combining other intelligent tools with swarm intelligence techniques to yield robust and failsafe solutions to real world problems. This book aims to provide audiences with a platform to learn and gain insights into the latest developments in hybrid swarm intelligence. It will be useful to researchers, engineers, developers, practitioners, and graduate students working in the major and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing.With the advent of data-intensive applications, the elimination of redundancy in disseminated information has become a serious challenge for researchers who are on the lookout for evolving metaheuristic algorithms which can explore and exploit the information feature space to derive the optimal settings for specific applications. Swarm intelligence algorithms have developed as one of the most widely used metaheuristic techniques for addressing this challenge in an effective way. Inspired by the behavior of a swarm of bees, these swarm intelligence techniques emulate the corresponding natural instincts to derive optimal solutions for data-intensive applications.
Abhishek Sharma, Shailendra Rajput, Moshe Averbukh + 1 more
August 1, 2024
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Computational Tools for Energy Harvesting Applications presents the latest applications of energy harvesting methods for renewable energy systems. The book provides readers with the computational tools and algorithms for energy harvesting, explaining the mathematical basis behind their development and application and analyzing the latest developments. Each chapter provides a review of the fundamentals and basic theory behind each energy harvester, the working principles, and the latest practical applications.The mathematical techniques and computational tools are provided for response analysis and optimization of diverse energy harvesters, including from fixed renewable energy systems – wind, solar, etc. – and portable devices such as PEM fuel cells. This is a valuable reference for students and researchers working in the field of renewable energy harvesting and its application, as well as electrical and mechanical engineers.
Tofigh Allahviranloo, Witold Pedrycz and Amir Seyyedabbasi
August 1, 2024
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Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic exposure to soft computing techniques in fuzzy mathematics as well as artificial intelligence in the context of real-life problems and is designed to address recent techniques to solving uncertain problems encountered specifically in decision sciences. Researchers, professors, software engineers, and graduate students working in the fields of applied mathematics, software engineering, and artificial intelligence will find this book useful to acquire a solid foundation in fuzzy logic and fuzzy systems.Other areas of note include optimization problems and artificial intelligence practices, as well as how to analyze IoT solutions with applications and develop decision-making mechanisms realized under uncertainty.
Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent systems. As there are strong links between optimization and learning, this book provides a unified platform for understanding distributed optimization and learning algorithms for different purposes.
Nanomechanics of Structures and Materials: Modeling and Analysis highlights and compares the advantages and disadvantages of varied modeling and analyzation methods for a broad array of different nanostructures and nanomaterials. It focuses on the behavior of media with nanostructural features where the classic continuum theory does not apply and augmented continuum theories such as nonlocal theory, gradient theory of elasticity, and the surface elasticity model must be used. These theories and models are discussed at length and their application to a variety of different materials and structures, including graphene, shells, arches, nanobeams, carbon nanotubes, porous materials, and more are covered.