Machine Learning For Complex And Unmanned Systems
DOWNLOAD
Download Machine Learning For Complex And Unmanned Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine Learning For Complex And Unmanned Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Machine Learning For Complex And Unmanned Systems
DOWNLOAD
Author : Jose Martinez-Carranza
language : en
Publisher:
Release Date : 2024-01-18
Machine Learning For Complex And Unmanned Systems written by Jose Martinez-Carranza and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-18 with categories.
This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The main topics covered under this title include: machine learning, artificial intelligence, cryptography, submarines, drones, security in healthcare, Internet of Things and robotics.
Machine Learning For Complex And Unmanned Systems
DOWNLOAD
Author : Jose Martinez-Carranza
language : en
Publisher: CRC Press
Release Date : 2024-02-21
Machine Learning For Complex And Unmanned Systems written by Jose Martinez-Carranza and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-21 with Computers categories.
This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and discussing their development and hardware/software implementation. The book includes two parts: the first one collects machine learning applications in complex systems, mainly discussing developments highlighting their modeling and simulation, and hardware implementation. The second part collects applications of machine learning in unmanned systems including optimization and case studies in submarines, drones, and robots. The chapters discuss miscellaneous applications required by both complex and unmanned systems, in the areas of artificial intelligence, cryptography, embedded hardware, electronics, the Internet of Things, and healthcare. Each chapter provides guidelines and details of different methods that can be reproduced in hardware/software and discusses future research. Features Provides details of applications using machine learning methods to solve real problems in engineering Discusses new developments in the areas of complex and unmanned systems Includes details of hardware/software implementation of machine learning methods Includes examples of applications of different machine learning methods for future lines for research in the hot topic areas of submarines, drones, robots, cryptography, electronics, healthcare, and the Internet of Things This book can be used by graduate students, industrial and academic professionals to examine real case studies in applying machine learning in the areas of modeling, simulation, and optimization of complex systems, cryptography, electronics, healthcare, control systems, Internet of Things, security, and unmanned systems such as submarines, drones, and robots.
Deep Learning For Unmanned Systems
DOWNLOAD
Author : Anis Koubaa
language : en
Publisher: Springer Nature
Release Date : 2021-10-01
Deep Learning For Unmanned Systems written by Anis Koubaa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-01 with Technology & Engineering categories.
This book is used at the graduate or advanced undergraduate level and many others. Manned and unmanned ground, aerial and marine vehicles enable many promising and revolutionary civilian and military applications that will change our life in the near future. These applications include, but are not limited to, surveillance, search and rescue, environment monitoring, infrastructure monitoring, self-driving cars, contactless last-mile delivery vehicles, autonomous ships, precision agriculture and transmission line inspection to name just a few. These vehicles will benefit from advances of deep learning as a subfield of machine learning able to endow these vehicles with different capability such as perception, situation awareness, planning and intelligent control. Deep learning models also have the ability to generate actionable insights into the complex structures of large data sets. In recent years, deep learning research has received an increasing amount of attention from researchers in academia, government laboratories and industry. These research activities have borne some fruit in tackling some of the challenging problems of manned and unmanned ground, aerial and marine vehicles that are still open. Moreover, deep learning methods have been recently actively developed in other areas of machine learning, including reinforcement training and transfer/meta-learning, whereas standard, deep learning methods such as recent neural network (RNN) and coevolutionary neural networks (CNN). The book is primarily meant for researchers from academia and industry, who are working on in the research areas such as engineering, control engineering, robotics, mechatronics, biomedical engineering, mechanical engineering and computer science. The book chapters deal with the recent research problems in the areas of reinforcement learning-based control of UAVs and deep learning for unmanned aerial systems (UAS) The book chapters present various techniques of deep learning for robotic applications. The book chapters contain a good literature survey with a long list of references. The book chapters are well written with a good exposition of the research problem, methodology, block diagrams and mathematical techniques. The book chapters are lucidly illustrated with numerical examples and simulations. The book chapters discuss details of applications and future research areas.
Proceedings Of 4th 2024 International Conference On Autonomous Unmanned Systems 4th Icaus 2024
DOWNLOAD
Author : Lianqing Liu
language : en
Publisher: Springer Nature
Release Date : 2025-03-27
Proceedings Of 4th 2024 International Conference On Autonomous Unmanned Systems 4th Icaus 2024 written by Lianqing Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-27 with Technology & Engineering categories.
This book includes original, peer-reviewed research papers from the 4th ICAUS 2024, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 4th ICAUS 2024 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
Proceedings Of 2021 International Conference On Autonomous Unmanned Systems Icaus 2021
DOWNLOAD
Author : Meiping Wu
language : en
Publisher: Springer Nature
Release Date : 2022-03-18
Proceedings Of 2021 International Conference On Autonomous Unmanned Systems Icaus 2021 written by Meiping Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-18 with Technology & Engineering categories.
This book includes original, peer-reviewed research papers from the ICAUS 2021, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2021 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.
Proceedings Of 3rd 2023 International Conference On Autonomous Unmanned Systems 3rd Icaus 2023
DOWNLOAD
Author : Yi Qu
language : en
Publisher: Springer Nature
Release Date : 2024-04-26
Proceedings Of 3rd 2023 International Conference On Autonomous Unmanned Systems 3rd Icaus 2023 written by Yi Qu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Technology & Engineering categories.
This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.
Proceedings Of 2022 International Conference On Autonomous Unmanned Systems Icaus 2022
DOWNLOAD
Author : Wenxing Fu
language : en
Publisher: Springer Nature
Release Date : 2023-03-10
Proceedings Of 2022 International Conference On Autonomous Unmanned Systems Icaus 2022 written by Wenxing Fu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-10 with Technology & Engineering categories.
This book includes original, peer-reviewed research papers from the ICAUS 2022, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2022 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.
Proceedings Of The 3rd International Conference On Machine Learning Cloud Computing And Intelligent Mining Mlccim2024
DOWNLOAD
Author : Fuchun Sun
language : en
Publisher: Springer Nature
Release Date : 2025-03-21
Proceedings Of The 3rd International Conference On Machine Learning Cloud Computing And Intelligent Mining Mlccim2024 written by Fuchun Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-21 with Technology & Engineering categories.
This proceedings book offers a meticulously curated compilation of peer-reviewed papers presented at the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024). With a profound focus on these domains, this book serves as an invaluable resource for researchers, experts, professionals, and practitioners engaged in machine learning, control systems, robot, cloud computing, and intelligent mining techniques. The book facilitates a vibrant exchange of knowledge, enabling participants to unveil their pioneering research findings, showcase the outcomes of their latest projects, and engage in thought-provoking discussions to share perspectives and experiences.
The Unmanned Systems And Artificial Intelligence Revolution
DOWNLOAD
Author : Dr. Terence M. Dorn
language : en
Publisher: Page Publishing Inc
Release Date : 2024-06-27
The Unmanned Systems And Artificial Intelligence Revolution written by Dr. Terence M. Dorn and has been published by Page Publishing Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-27 with Technology & Engineering categories.
This book completes my unmanned systems trilogy and provides an update on the capabilities and threat potential of Unmanned Systems since my previous two books, entitled Unmanned Systems: Savior or Threat and The Importance and Vulnerabilities of U.S. Critical Infrastructure to Unmanned Systems and Cyber. The U.S. Congress and military services claim humans will control artificial intelligence (AI)-enhanced autonomous weapon systems, yet they are severely mistaken. The age of autonomous warfare has already arrived, and its incorporation of AI has begun. Our strategic competitors know that AI will digest volumes of information and make decisions far faster than human beings. They have already been unleashed without a human in the loop to authorize engagements against human beings. Our world is embroiled in a technological revolution with unmanned systems and the meteoric rise of more responsive and innovative AI algorithms. These two entities are not in their infancy, for they have emerged and grown immensely in capability, potential, and threat. There is a fierce, modern-day race among countries to conduct research and development to get improved unmanned systems and AI out to military forces, governments, companies, and the general populace. By combining armed and autonomous unmanned systems with AI, we are leap-frogging humanity past science fiction movies towards real-world militarized, AI-enhanced, autonomous unmanned systems and, quite possibly, Skynet.