This book addresses the complexity of assessing fit and using fittings in the product design process from a scientific and systems engineering perspective. Including: how to represent the anthropometry of the target market, good practices for reliab...More info...
This new edition of Signal and Image Processing for Remote Sensing emphasizes the use of machine learning approaches to remote sensing information extraction, change detection, and compressed sensing. With 19 new chapters written by world leaders in...More info...
The proposed book entitled Industry 6.0: Technology, Practices, Challenges and Applications determine the ways to create a paradigm shift from conventional to intelligent companies by integrating Industry 6.0 technology with data, identifies limitat...More info...
This book studies the evolution of sustainable green smart cities and demonstrates solutions for green environmental issues using modern industrial IoT solutions....More info...
This book offers a comprehensive overview of the current state of cybersecurity in smart cities and explores how AI and IoT technologies can be used to address cybersecurity challenges....More info...
This book delves into the history of biometrics, the various systems that have been developed to date, the problems that have arisen from these systems, the necessity of AI-based biometrics systems, the various AI techniques that have been developed...More info...
Thos book is a comprehensive and interdisciplinary introduction to AI Safety. As AI threatens to transform society, it becomes increasingly more important to understand the risks that AI poses, and to learn what measures we can take to mitigate them...More info...
The Art of Cyber Defense: From Risk Assessment to Threat Intelligence offers a comprehensive exploration of cybersecurity principles, strategies, and technologies essential for safeguarding digital assets and mitigating evolving cyber threats....More info...
This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in air quality management. It explains the linkage between conventional approaches used in air quality monitoring with AI techniques such...More info...
This book introduces an auto-design-based optimization for building frames using an artificial neural networks (ANN)-based Lagrange method and genetic algorithms (GAs), and consistent with codes of practice. It is heavily illustrated with color figu...More info...
This book explores the development of an analysis tool for lunar crescent visibility criterion using an integrated lunar crescent visibility database....More info...
Steel Informatics aims to review the application of data-driven computing techniques related to design of steel including phase transformation, composition-process-property correlation, and different processing techniques, particularly deformation a...More info...
The text highlights the role of artificial intelligence in driving innovation, productivity, and efficiency. It further covers applications of artificial intelligence for digital marketing in Industry 5.0 and discusses data security and privacy issu...More info...
This book presents the application of CAE, statistics and AI in defect identification and optimization of injection molding process for quality production. It showcases CAE in determining the optimal placement of injection points, designing cooling...More info...
This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric explainable machine learning approach for obtaining new insights from geospatial data analysis and...More info...
This book reboots the conversation about all technologies relating to robot safety. It covers key features of industry standards, relevant government regulations, hardware devices, physical safeguards, and vendor-specific software implementations,...More info...
The book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challen...More info...
This book shows how SRv6 can be used in real-world network deployments, providing real-world project cases from multiple carriers and enterprises....More info...
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain manageme...More info...
This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for...More info...
This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. It uses case studies and examples to dis...More info...
A ready reference for the next-generation discovery techniques, this book presents advanced research findings on resource discovery, network navigability, and trust management on the Internet of Things (IoT) and Social Internet of Things (SIoT) ecos...More info...
This concise and accessible guide equips readers with the knowledge and skills needed to implement digital control algorithms to design efficient and reliable power converters using STM32 microcontrollers....More info...
This book explores how swarm intelligence and digital innovations can shape sustainable, resilient, and inclusive urban environments. It highlights the role of Artificial Intelligence, Internet of Things, and citizen engagement in optimizing energy...More info...
With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques ha...More info...
Material science is one of the sciences that utilizes Artificial Intelligence techniques, including machine learning and nature-inspired optimization algorithms, most extensively. This book reviews the latest methods and applications of AI in materi...More info...
Computer vision is an effective solution in a range of real-life applications. With the advent of the machine and deep learning paradigms, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accur...More info...
Businesses have faced many difficulties as a result of the global pandemic. Digital technologies have played a crucial role in addressing these issues and fostering resilience. It is, therefore, imperative to explore options for post-pandemic busine...More info...
The book aims to highlight the potential of Deep Learning (DL)-based methods in Intelligent Fault Diagnosis (IFD), along with their benefits and contributions....More info...
This book focuses on deep learning-based approaches in the field of Diabetes Mellitus detection and diagnosis, including preprocessing techniques which are an essential part of this subject. This is the first book of its kind to cover deep learning-...More info...
This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. It uses case studies and examples to dis...More info...
The text highlights the role of artificial intelligence in driving innovation, productivity, and efficiency. It further covers applications of artificial intelligence for digital marketing in Industry 5.0 and discusses data security and privacy issu...More info...
This book presents the application of CAE, statistics and AI in defect identification and optimization of injection molding process for quality production. It showcases CAE in determining the optimal placement of injection points, designing cooling...More info...
This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric explainable machine learning approach for obtaining new insights from geospatial data analysis and...More info...
This book reboots the conversation about all technologies relating to robot safety. It covers key features of industry standards, relevant government regulations, hardware devices, physical safeguards, and vendor-specific software implementations,...More info...
The book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challen...More info...
This book shows how SRv6 can be used in real-world network deployments, providing real-world project cases from multiple carriers and enterprises....More info...
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain manageme...More info...
This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for...More info...
Steel Informatics aims to review the application of data-driven computing techniques related to design of steel including phase transformation, composition-process-property correlation, and different processing techniques, particularly deformation a...More info...
This book explores the development of an analysis tool for lunar crescent visibility criterion using an integrated lunar crescent visibility database....More info...
This book introduces an auto-design-based optimization for building frames using an artificial neural networks (ANN)-based Lagrange method and genetic algorithms (GAs), and consistent with codes of practice. It is heavily illustrated with color figu...More info...
This new edition of Signal and Image Processing for Remote Sensing emphasizes the use of machine learning approaches to remote sensing information extraction, change detection, and compressed sensing. With 19 new chapters written by world leaders in...More info...
The proposed book entitled Industry 6.0: Technology, Practices, Challenges and Applications determine the ways to create a paradigm shift from conventional to intelligent companies by integrating Industry 6.0 technology with data, identifies limitat...More info...
This book studies the evolution of sustainable green smart cities and demonstrates solutions for green environmental issues using modern industrial IoT solutions....More info...
This book offers a comprehensive overview of the current state of cybersecurity in smart cities and explores how AI and IoT technologies can be used to address cybersecurity challenges....More info...
This book delves into the history of biometrics, the various systems that have been developed to date, the problems that have arisen from these systems, the necessity of AI-based biometrics systems, the various AI techniques that have been developed...More info...
Thos book is a comprehensive and interdisciplinary introduction to AI Safety. As AI threatens to transform society, it becomes increasingly more important to understand the risks that AI poses, and to learn what measures we can take to mitigate them...More info...
The Art of Cyber Defense: From Risk Assessment to Threat Intelligence offers a comprehensive exploration of cybersecurity principles, strategies, and technologies essential for safeguarding digital assets and mitigating evolving cyber threats....More info...
This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in air quality management. It explains the linkage between conventional approaches used in air quality monitoring with AI techniques such...More info...
