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Author: Thi Dieu Linh Nguyen
Publisher: Springer Nature
ISBN: 9811964505
Category : Technology & Engineering
Languages : en
Pages : 323
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Book Description
This book highlights recent advances in the area of machine learning and robotics-based soft computing applications. The book covers various artificial intelligence, machine learning, and mechanics, a mix of mechanical computational engineering work. The current computing era has a huge market/potential for machine learning, robotics, and soft computing techniques and their applications. With this in view, the book shares latest research and cutting-edge applications useful for professionals and researchers in these areas.
Author: Thi Dieu Linh Nguyen
Publisher: Springer Nature
ISBN: 9811964505
Category : Technology & Engineering
Languages : en
Pages : 323
Get Book Here
Book Description
This book highlights recent advances in the area of machine learning and robotics-based soft computing applications. The book covers various artificial intelligence, machine learning, and mechanics, a mix of mechanical computational engineering work. The current computing era has a huge market/potential for machine learning, robotics, and soft computing techniques and their applications. With this in view, the book shares latest research and cutting-edge applications useful for professionals and researchers in these areas.
Author: Thi Dieu Linh Nguyen
Publisher:
ISBN: 9789811964510
Category :
Languages : en
Pages : 0
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Book Description
This book highlights recent advances in the area of machine learning and robotics-based soft computing applications. The book covers various artificial intelligence, machine learning, and mechanics, a mix of mechanical computational engineering work. The current computing era has a huge market/potential for machine learning, robotics, and soft computing techniques and their applications. With this in view, the book shares latest research and cutting-edge applications useful for professionals and researchers in these areas.
Author: Amit Kumar Tyagi
Publisher: John Wiley & Sons
ISBN: 139425833X
Category : Technology & Engineering
Languages : en
Pages : 470
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Book Description
A comprehensive reference on 6G wireless technologies, covering applications, hardware, security and privacy concerns, existing challenges, analytics methods, and much more 6G-Enabled Technologies for Next Generation delivers a thorough overview of the emerging sixth generation of wireless technology, presenting critical challenges of implementing 6G technologies including spectrum allocation, energy efficiency, security, interoperability, and more. Explaining ways we can use technologies to ensure a sustainable environment through renewable energy and a resilient industry, this book covers the applications and use cases such as smart grid, IoT, smart manufacturing, addressing security and privacy issues with privacy-preserving techniques and authentication control mechanisms. This book discusses the analytical methods used to study the performance of 6G technologies, covering simulation techniques, performance metrics, and predictive modeling. Introducing the core principles of 6G technology, including the advantages and disadvantages of the technology and how wireless communications have evolved, energy-efficient hardware and the different types of green communication technologies is explained. Many case studies are included in this book with a detailed explanation. Written by a team of experienced researchers, this book discusses: Terahertz (ThZ) communication, massive MIMO and beamforming, quantum communication, bandwidth management, and ultra-dense networks and small cell deployments Smart cities, telemedicine, and autonomous vehicles and schemes for waveform design, modulation, error correction, and advanced coding and modulation Sensor networks, edge computing and mobile cloud computing, and spatial, quantum, and dew computing Quantum-safe encryption, privacy-preserving technologies and techniques, threats and vulnerabilities, and authentication and access control mechanisms Network slicing and service differentiation, multi-connectivity and heterogeneous networks, and wireless power transfer 6G-Enabled Technologies for Next Generation is a comprehensive, up-to-date reference for students, academics, and researchers, along with professionals in the telecommunications field.
Author: Z.-Q. Liu
Publisher: Springer Science & Business Media
ISBN: 4431679073
Category : Computers
Languages : en
Pages : 336
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Book Description
Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Work bench represents an important new contribution in the field of practical computer technology. Tosiyasu L. Kunii Preface With the advent of digital computers some five decades ago and the wide spread use of computer networks recently, we have gained enormous power in gathering information and manufacturing. Yet, this increase in comput ing power has not given us freedom in a real sense, we are increasingly enslaved by the very machine we built for gaining freedom and efficiency. Making machines to serve mankind is an essential issue we are facing. Building human-centered systems is an imperative task for scientists and engineers in the new millennium. The topic of human-centered servant modules covers a vast area. In our projects we have focused our efforts on developing theories and techn!ques based on fuzzy theories. Chapters 2 to 12 in this book collectively deal with the theoretical, methodological, and applicational aspects of human centered systems. Each chapter presents the most recent research results by the authors on a particular topic.
Author: Han Liu
Publisher: Springer
ISBN: 3319700588
Category : Technology & Engineering
Languages : en
Pages : 123
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Book Description
This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e., the five Vs—Volume, Velocity, Variety, Veracity and Variability. The book explores granular computing as a response to the fact that learning tasks have become increasingly more complex due to the vast and rapid increase in the size of data, and that traditional machine learning has proven too shallow to adequately deal with big data. Some popular types of traditional machine learning are presented in terms of their key features and limitations in the context of big data. Further, the book discusses why granular-computing-based machine learning is called for, and demonstrates how granular computing concepts can be used in different ways to advance machine learning for big data processing. Several case studies involving big data are presented by using biomedical data and sentiment data, in order to show the advances in big data processing through the shift from traditional machine learning to granular-computing-based machine learning. Finally, the book stresses the theoretical significance, practical importance, methodological impact and philosophical aspects of granular-computing-based machine learning, and suggests several further directions for advancing machine learning to fit the needs of modern industries. This book is aimed at PhD students, postdoctoral researchers and academics who are actively involved in fundamental research on machine learning or applied research on data mining and knowledge discovery, sentiment analysis, pattern recognition, image processing, computer vision and big data analytics. It will also benefit a broader audience of researchers and practitioners who are actively engaged in the research and development of intelligent systems.
Author: Jamshid Ghaboussi
Publisher: CRC Press
ISBN: 1498745687
Category : Mathematics
Languages : en
Pages : 221
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Book Description
Soft computing methods such as neural networks and genetic algorithms draw on the problem solving strategies of the natural world which differ fundamentally from the mathematically-based computing methods normally used in engineering. Human brains are highly effective computers with capabilities far beyond those of the most sophisticated electronic computers. The 'soft computing‘ methods they use can solve very difficult inverse problems based on reduction in disorder. This book outlines these methods and applies them to a range of difficult engineering problems, including applications in computational mechanics, earthquake engineering, and engineering design. Most of these are difficult inverse problems – especially in engineering design – and are treated in depth.
Author: Samui, Pijush
Publisher: IGI Global
ISBN: 1466694807
Category : Technology & Engineering
Languages : en
Pages : 641
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Book Description
Recent developments in information processing systems have driven the advancement of computational methods in the engineering realm. New models and simulations enable better solutions for problem-solving and overall process improvement. The Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering is an authoritative reference work representing the latest scholarly research on the application of computational models to improve the quality of engineering design. Featuring extensive coverage on a range of topics from various engineering disciplines, including, but not limited to, soft computing methods, comparative studies, and hybrid approaches, this book is a comprehensive reference source for students, professional engineers, and researchers interested in the application of computational methods for engineering design.
Author: Sankar Kumar Pal
Publisher: Springer Science & Business Media
ISBN: 1447106873
Category : Computers
Languages : en
Pages : 380
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Book Description
This text demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning, that is, for real-life decision-making or recognition problems. Comprising contributions from experts, it introduces the basic concepts and theories, and includes many reports on real-life applications. This book is of interest to graduate students and researchers in computer science, electrical engineering and information technology, as well as researchers and practitioners from the fields of systems design, pattern recognition and data mining.
Author: Vojislav Kecman
Publisher: MIT Press
ISBN: 9780262112550
Category : Computers
Languages : en
Pages : 556
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Book Description
This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.
Author: Oluwatobi Adeleke
Publisher: CRC Press
ISBN: 1003803113
Category : Technology & Engineering
Languages : en
Pages : 377
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Book Description
While thin film technology has benefited greatly from artificial intelligence (AI) and machine learning (ML) techniques, there is still much to be learned from a full-scale exploration of these technologies in atomic layer deposition (ALD). This book provides in-depth information regarding the application of ML-based modeling techniques in thin film technology as a standalone approach and integrated with the classical simulation and modeling methods. It is the first of its kind to present detailed information regarding approaches in ML-based modeling, optimization, and prediction of the behaviors and characteristics of ALD for improved process quality control and discovery of new materials. As such, this book fills significant knowledge gaps in the existing resources as it provides extensive information on ML and its applications in film thin technology. Offers an in-depth overview of the fundamentals of thin film technology, state-of-the-art computational simulation approaches in ALD, ML techniques, algorithms, applications, and challenges. Establishes the need for and significance of ML applications in ALD while introducing integration approaches for ML techniques with computation simulation approaches. Explores the application of key techniques in ML, such as predictive analysis, classification techniques, feature engineering, image processing capability, and microstructural analysis of deep learning algorithms and generative model benefits in ALD. Helps readers gain a holistic understanding of the exciting applications of ML-based solutions to ALD problems and apply them to real-world issues. Aimed at materials scientists and engineers, this book fills significant knowledge gaps in existing resources as it provides extensive information on ML and its applications in film thin technology. It also opens space for future intensive research and intriguing opportunities for ML-enhanced ALD processes, which scale from academic to industrial applications.
