This book offers advanced iterative learning control (ILC) and optimization methods for industrial batch systems, facilitating engineering applications subject to time- and batch-varying process uncertainties that could not be effectively addressed by the existing ILC methods.
This book enables readers to acquire a fundamental knowledge of computer vision from the perspective of geometry, including knowledge of image processing and pattern recognition intended for two-dimensional geometry analysis of images, knowledge of computer vision intended for three-dimensional geometry analysis of images.
„Der Moeller“ ist das seit über neun Jahrzehnten bewährte und kontinuierlich weiterentwickelte Standardwerk für die Ausbildung von Studierenden der Elektrotechnik an Universitäten und Hochschulen für angewandte Wissenschaften.
As industries move toward intelligent, adaptive, and efficient manufacturing processes, the integration of (artificial intelligence) AI, (Internet of Things) IoT, signal processing, and computer vision is crucial.
Deep Learning Applications in Operations Research explores cutting-edge applications of deep learning and optimization techniques across various domains.
Unlocking the future of image and video coding with AI-based Image and Video Coding: Methods, Standards, and Applications, we can explore the revolutionary impact of deep learning technologies on image and video compression.
This book uniquely examines basic electronics from a physics perspective and introduces electrical circuits, components, and basic circuit analysis in a self-contained manner.
The text explains how explainable artificial intelligence impacts problem-solving and aims to provide practical suggestions across various emerging industries.
This book presents the transformational progress in next-generation advanced converter circuit topologies based on the unique electrical properties of wide-bandgap semiconductors, including silicon carbide (SiC) and gallium nitride (GaN).
The book explores the fault-tolerant control (FTC) methods for unmanned flight vehicle (UFV) by considering practical safety issues in low-altitude economic environments.
Unlocking the future of image and video coding with AI-based Image and Video Coding: Methods, Standards, and Applications, we can explore the revolutionary impact of deep learning technologies on image and video compression.
This book comprehensively covers designing and implementing misinformation intervention strategies and risk communication approaches for generative artificial intelligence (AI) technologies.
This book comprehensively covers designing and implementing misinformation intervention strategies and risk communication approaches for generative artificial intelligence (AI) technologies.
We are pleased to present the proceedings of the International Conference on Advanced Data Analytics and Computing (ICADAC) 2025, a premier platform that brings together researchers, scholars, and industry professionals to share their latest findings, technological advancements, and practical applications in the field of data analytics and intelligent computing.
The book aims to develop methodologies and throw light on the advances in empirical research of various machine learning systems through data mining and parallel programming using GPU approaches.
The book highlights the importance of using machine learning algorithms for smart intelligent devices, security and privacy issues of the Internet of Things.
The book highlights the importance of using machine learning algorithms for smart intelligent devices, security and privacy issues of the Internet of Things.
The book aims to develop methodologies and throw light on the advances in empirical research of various machine learning systems through data mining and parallel programming using GPU approaches.
This book details relevant research toward design and modeling issues for the firmware of higher-order flexible robotic systems (FRS) with concerned chapters delineating state-of-the-art research in FRS, focusing on novel designs and prototype hardware development of different types of multi-link serial-chain as well as closed-loop flexible manipulators.
The text provides readers with an understanding of how green technology solutions can be applied to support sustainable manufacturing practices in the context of Industry 4.
This book details relevant research toward design and modeling issues for the firmware of higher-order flexible robotic systems (FRS) with concerned chapters delineating state-of-the-art research in FRS, focusing on novel designs and prototype hardware development of different types of multi-link serial-chain as well as closed-loop flexible manipulators.
This book covers the developments of perovskite solar cells, materials and properties for perovskite solar cells, charge transport and separation in perovskite solar cells, regular p-i-n and inverted n-i-p perovskite solar cells, hybrid perovskite solar cells, and the reliability issues in perovskite solar cells.
This book covers the developments of perovskite solar cells, materials and properties for perovskite solar cells, charge transport and separation in perovskite solar cells, regular p-i-n and inverted n-i-p perovskite solar cells, hybrid perovskite solar cells, and the reliability issues in perovskite solar cells.
This book aims to mainstream UI/UX design process by explaining latest AI/ML models in a comprehensible way and highlighting case studies on developing intelligent user interfaces for XR systems, human robot interaction, cockpit design and trajectory prediction.
This book introduces foundational and advanced concepts in artificial intelligence (AI) and machine learning (ML), focusing on their real-world applications and societal implications.
Smart Farming, Smarter Solutions: Revolutionizing Agriculture with Artificial Intelligence presents a comprehensive exploration of how Artificial Intelligence (AI) technologies are transforming modern agriculture.
The book presents fundamental to advanced concepts of AI and IoT in healthcare and disease prediction, demonstrating the emerging mechanisms, including machine learning, deep learning, image sensing, and explainable AI models to handle issues in healthcare industries with real-life scenarios.
The purpose of this book is to explore the fundamentals and implementation strategies of smart agriculture through the integration of artificial intelligence and Internet of Things technologies.
Artificial Intelligence in Smart Cities presents an interdisciplinary and comprehensive analysis of how AI reengineers urban life, governance, and infrastructure.
The book presents fundamental to advanced concepts of AI and IoT in healthcare and disease prediction, demonstrating the emerging mechanisms, including machine learning, deep learning, image sensing, and explainable AI models to handle issues in healthcare industries with real-life scenarios.
Serving as a foundational guide to the field, this book is an essential resource for professionals involved in the development of mechanical systems and related industries.
