Automatic control engineering

The ongoing impact of Industry 4.

Network Optimization in Intelligent Internet of Things Applications: Principles and Challenges sheds light on the optimization methods that form the basis of effective communication between networked devices.

This book provides a comprehensive overview of the latest advancements and research in the fields of computing and intelligent information systems.

This volume investigates the challenges and opportunities for designing, manufacturing and operating off-Earth infrastructures in order to establish adaptive human habitats.

Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems.

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis.

The motor vehicle technology covered in this book has become in the more than 125 years of its history in many aspects an extremely complex and, in many areas of engineering science .

This book offers an in-depth discussion related to metrological aspects of automated tests.

This book offers an in-depth discussion related to metrological aspects of automated tests.

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis.

The publication is attempted to address emerging trends in machine learning applications.

The publication is attempted to address emerging trends in machine learning applications.

The motor vehicle technology covered in this book has become in the more than 125 years of its history in many aspects an extremely complex and, in many areas of engineering science .

Computational Approaches in Bioengineering, Volume 2-Computational Approaches in Biomaterials and Biomedical Engineering Applications is a comprehensive and up-to-date resource that provides a broad overview of the use of computational methods in the fields of biomaterials and biomedical engineering.

The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis.

The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions.

This book considers David Hanson's robots as a performative expression of our cultural moment, serving as a paradigm for the evolution of humanoid social robots.

The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.

This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges.

This volume examines how the adoption of AI technologies is likely to impact strategic and operational planning, and the possible future tactical scenarios for conventional, unconventional, cyber, space and nuclear force structures.

This book highlights the technological advances that are transforming the future of digital marketing and covers important areas of research in this field.

The recent pandemic has forced researchers to adapt technologies such as robotics and AI in the healthcare field.

Leveraging the latest developments in MATLAB and its image processing toolbox, this 'cookbook' is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms.

The book discusses principles of optimization techniques for microgrid applications specifically for microgrid system stability, smart charging, and storage units.

Advancements in computational intelligence, which encompasses artificial intelligence, machine learning, and data analytics, have revolutionized the way we process and analyze biomedical and health data.

This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms.

This text presents a comprehensive analysis of mathematical formulations for proving the effectiveness of artificial intelligence in education and investigates the possibilities for integrating advanced artificial intelligence algorithms.

This book explores the need for a data centric AI approach and its application in the multidisciplinary domain, compared to a model centric approach.

This book presents the role of AI-Driven Digital Twin in the Industry 4.

Leveraging the latest developments in MATLAB and its image processing toolbox, this 'cookbook' is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms.

Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science mainly focuses on the techniques of artificial intelligence (AI), Internet of Things (IoT) and data science for future communications systems.

Advancements in computational intelligence, which encompasses artificial intelligence, machine learning, and data analytics, have revolutionized the way we process and analyze biomedical and health data.

Advanced Chassis Control Technology for Steer-by-Wire Vehicles details state-of-the-art drive-by-wire technology, enabling engineers to create safer and smarter steering technology.

The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.

The recent pandemic has forced researchers to adapt technologies such as robotics and AI in the healthcare field.

This volume examines how the adoption of AI technologies is likely to impact strategic and operational planning, and the possible future tactical scenarios for conventional, unconventional, cyber, space and nuclear force structures.

The book discusses principles of optimization techniques for microgrid applications specifically for microgrid system stability, smart charging, and storage units.

This book explores the need for a data centric AI approach and its application in the multidisciplinary domain, compared to a model centric approach.

The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems.

This book focuses on the artificial neural network-based system for gaze-based communication.

This book discusses the importance of using industrial intelligence in collaboration with computational intelligence in forming a smart system for diverse applications.

The text highlights a comprehensive survey that focuses on all security aspects and challenges facing the Internet of Things systems, including outsourcing techniques for partial computations on edge or cloud while presenting case studies to map security challenges.

Advances in signal and image processing for remote sensing have been tremendous in recent years.

The year 2023 marks the 100th birth anniversary of E.

Volume 1 of Computational Approaches in Bioengineering-Computational Approaches in Biotechnology and Bioinformatics-explores many significant topics of biomedical engineering and bioinformatics in an easily understandable format.

The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis.

Advanced Chassis Control Technology for Steer-by-Wire Vehicles details state-of-the-art drive-by-wire technology, enabling engineers to create safer and smarter steering technology.

Due to disruptions occurring within production processes as a result of different circumstances, it is necessary to provide a new and safe production system that can be resilient to cope with any crisis, such as a pandemic.

Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning.