Control Systems Design of Bio-Robotics and Bio-Mechatronics with Advanced Applications delivers essential and advanced bioengineering information on the application of control and robotics technologies in the life sciences. Judging by what we have witnessed so far, this exciting field of control systems and robotics in bioengineering is likely to produce revolutionary breakthroughs over the next decade. While this book is intended for senior undergraduate or graduate students in both control engineering and biomedical engineering programs, it will also appeal to medical researchers and practitioners who want to enhance their quantitative understanding of physiological processes.
Автор: Margarita N. Favorskaya; Lakhmi C. Jain Название: Computer Vision in Advanced Control Systems-5 ISBN: 3030337944 ISBN-13(EAN): 9783030337940 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book applies novel theories to improve algorithms in complex data analysis in various fields, including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D.
Описание: This book gathers papers that are centered on the theory and practice of a wide variety of advanced technologies. They cover the latest developments in computing, networking, information technology, robotics, complex systems, communications, energy, mechanical engineering, civil engineering, geodesy, and other subjects.
Описание: The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand?Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.
Описание: Measuring systems are an essential part of all automated production systems. They can serve to ensure the quality of production, or they can be used to assure the reliability and safety in various areas. The same applies in principle for fields of telecommunication, energy production and distribution, health care, etc. Similarly, no serious scientific research in the field of natural and technical sciences can be performed without objective data about the investigated object, which is usually acquired using measuring system. Demands on the speed and accuracy of measurement increase in all areas in general. These are the grounds for publishing this book.
Advanced Distributed Measuring Systems: Exhibits of Application offers eight up-to-date examples of typical laboratory, industrial, and biomedical applications of advanced measuring and information systems, including virtual instrumentation. The book arose based on the most interesting papers from this area published at IDAACS 2011 conference. However, single chapters include not only system design solution in wider context but also relevant theoretical parts, achieved results, and possible future ways of design and development.
Technical topics discussed in the book include: - embedded applications; - small distributed systems; - automotive distributed system; - distributed monitoring systems based on wireless networks; - synchronization in large DAQ systems; - virtual instrumentation.
Advanced Distributed Measuring Systems: Exhibits of Application is ideal for personnel of firms dealing with control systems, automotive electronics, airspace instrumentation, health care technology, etc. as well as academic staff and postgraduate students in electrical, control, and computer engineering.
Описание: You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.
Описание: In the world of mathematics and computer science, technological advancements are constantly being researched and applied to ongoing issues. Setbacks in social networking, engineering, and automation are themes that affect everyday life, and researchers have been looking for new techniques in which to solve these challenges. Graph theory is a widely studied topic that is now being applied to real-life problems.
Advanced Applications of Graph Theory in Modern Society is an essential reference source that discusses recent developments on graph theory, as well as its representation in social networks, artificial neural networks, and many complex networks. The book aims to study results that are useful in the fields of robotics and machine learning and will examine different engineering issues that are closely related to fuzzy graph theory. Featuring research on topics such as artificial neural systems and robotics, this book is ideally designed for mathematicians, research scholars, practitioners, professionals, engineers, and students seeking an innovative overview of graphic theory.
Автор: Holden Steve Название: Computer Vision: Advanced Techniques and Applications ISBN: 1632408147 ISBN-13(EAN): 9781632408143 Издательство: Неизвестно Рейтинг: Цена: 24292.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
This is the first book that comprehensively and systematically describes the new technology of hydrophilic interaction liquid chromatography (HILIC). Hydrophilic interaction chromatography is a separation technique suitable for polar and hydrophilic compounds and orthogonal to reversed phase liquid chromatography. From small organic molecules to proteins, the text explores the many applications of HILIC in the analytical field. Winner of the President's Award for Excellence, the author explains how HILIC can significantly improve analytical throughput by shortening sample preparation procedure, which is one of the bottlenecks for drug discovery and development in the pharmaceutical industry.
Описание: This book presents an authoritative collection of contributions by researchers from 16 different countries (Austria, Chile, Georgia, Germany, Mexico, Norway, P.R. of China, Poland, North Macedonia, Romania, Russia, Spain, Turkey, Ukraine, the United Kingdom and United States) that report on recent developments and new directions in advanced control systems, together with new theoretical findings, industrial applications and case studies on complex engineering systems. This book is dedicated to Professor Vsevolod Mykhailovych Kuntsevich, an Academician of the National Academy of Sciences of Ukraine, and President of the National Committee of the Ukrainian Association on Automatic Control, in recognition of his pioneering works, his great scientific and scholarly achievements, and his years of service to many scientific and professional communities, notably those involved in automation, cybernetics, control, management and, more specifically, the fundamentals and applications of tools and techniques for dealing with uncertain information, robustness, non-linearity, extremal systems, discrete control systems, adaptive control systems and others. Covering essential theories, methods and new challenges in control systems design, the book is not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike. Its 15 chapters are grouped into four sections: (a) fundamental theoretical issues in complex engineering systems, (b) artificial intelligence and soft computing for control and decision-making systems, (c) advanced control techniques for industrial and collaborative automation, and (d) modern applications for management and information processing in complex systems. All chapters are intended to provide an easy-to-follow introduction to the topics addressed, including the most relevant references. At the same time, they reflect various aspects of the latest research work being conducted around the world and, therefore, provide information on the state of the art.
Описание: Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking.
Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.
Описание: Method of Resolving Functions in the Theory of Conflict - Controlled Processes.- Impact of Average-Dwell-Time Characterizations for Switched Nonlinear Systems on Complex Systems Control.- On the Problem of Optimization in Group Control.- Model Predictive Control for Discrete MIMO Linear Systems.- Krasovskii's Unification Method and the Stability Defect of Sets in a Game Problem of Approach on a Finite Time Interval.- Control of Stochastic Systems Based on the Predictive Models of Random Sequences.- Program iterations method and relaxation of a Pursuit-Evasion differential game.- Fuzzy Real-Time Multi-Objective Optimization of a Prosthesis Test Robot Control System.- Bio-inspired Optimization of Type-2 Fuzzy Controllers n Autonomous Mobile Robot Navigation.- A status quo biased multistage decision model for regional agricultural socioeconomic planning under fuzzy information.- Holonic Hybrid Supervised Control of Semi-continuous Radiopharmaceutical Production Processes.- Hybrid Control Structure and Reconfiguration Capabilities in Bionic Assembly System.- A flatness-based approach to the control of distributed parameter systems applied to load transportation with heavy ropes.- Toward A Secure IoT Architecture.- Formal Concept Analysis for Partner Selection in Collaborative Simulation Training.
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