This book focuses on the solar sailing technique and investigates in detail its applications for deep-space explorations focusing on the Earth-Moon, Sun-Earth and Sun-planet systems.
This book presents a collection of rigorously revised papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023).
AI is a major driver of change in business and economic ecosystems and touches many computer science disciplines, from cybersecurity to computing networks.
Technologies, applications and practices for virtual environments create interactive and immersive experiences and blend the transitions and permeabilities between the virtual and physical world.
This book presents a collection of rigorously revised papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023).
This book focuses on the solar sailing technique and investigates in detail its applications for deep-space explorations focusing on the Earth-Moon, Sun-Earth and Sun-planet systems.
This book discusses the development and application of dynamic neural networks (DNNs) for solving complex motion control problems in redundant manipulators.
This book discusses the development and application of dynamic neural networks (DNNs) for solving complex motion control problems in redundant manipulators.
This book constitutes the refereed proceedings of the Third International Conference on Cognitive Computation and Systems, ICCCS 2024, held in Linyi, China, December 20–22, 2024.
This book constitutes the refereed proceedings of the Third International Conference on Cognitive Computation and Systems, ICCCS 2024, held in Linyi, China, December 20–22, 2024.
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.
The text explains how explainable artificial intelligence impacts problem-solving and aims to provide practical suggestions across various emerging industries.
The first part of the Machine Tools and Production Systems Compendium presents the wide range of machine tools and a comprehensive overview of different machine types.
The first part of the Machine Tools and Production Systems Compendium presents the wide range of machine tools and a comprehensive overview of different machine types.
In an effort to investigate the revolutionary potential of augmented reality (AR) and virtual reality (VR) technologies in the field of mechanical and medical emergency management, Virtual Reality, Real Emergency was written.
Deep Learning Applications in Operations Research explores cutting-edge applications of deep learning and optimization techniques across various domains.
This book constitutes the proceedings of the 27th International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2025, held in Kathmandu, Nepal, during October 9–11, 2025.
Recently, substantial progress has been made in the machine perception, particularly computer vision, largely due to the advancements in deep learning techniques.
Recently, substantial progress has been made in the machine perception, particularly computer vision, largely due to the advancements in deep learning techniques.
Die vorliegende Arbeit entstand während meiner Tätigkeit als wissenschaftlicher Mit arbeiter am Fraunhofer-Institut für Produktionstechnik und Automatisierung (lPA), Stuttgart.
Proceedings of the FISITA 2012 World Automotive Congress are selected from nearly 2,000 papers submitted to the 34th FISITA World Automotive Congress, which is held by Society of Automotive Engineers of China (SAE-China ) and the International Federation of Automotive Engineering Societies (FISITA).
The global population is projected to exceed 9 billion by 2050, leading to imminent food shortages not only for the current but also future generations.
The book explores the fault-tolerant control (FTC) methods for unmanned flight vehicle (UFV) by considering practical safety issues in low-altitude economic environments.
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.
The global population is projected to exceed 9 billion by 2050, leading to imminent food shortages not only for the current but also future generations.
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.
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.
The text explains how explainable artificial intelligence impacts problem-solving and aims to provide practical suggestions across various emerging industries.
The book explores the fault-tolerant control (FTC) methods for unmanned flight vehicle (UFV) by considering practical safety issues in low-altitude economic environments.
