Computational Intelligence for Unmanned Aerial Vehicles Communication Networks

Computational Intelligence for Unmanned Aerial Vehicles Communication Networks
Author :
Publisher :
Total Pages : 0
Release :
ISBN-10 : 3030971147
ISBN-13 : 9783030971144
Rating : 4/5 (47 Downloads)

Book Synopsis Computational Intelligence for Unmanned Aerial Vehicles Communication Networks by : Mariya Ouaissa

Download or read book Computational Intelligence for Unmanned Aerial Vehicles Communication Networks written by Mariya Ouaissa and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide a vision that can combine the best of both Artificial Intelligence (AI) and communication networks for designing the deployment trajectory to establish flexible Unmanned Aerial Vehicles (UAV) communication networks. This book will discuss the major challenges that can face deploying unmanned aerial vehicles in emergent networks. It will focus on possible applications of UAV in a Smart City environment where they can be supported by Internet of Things (IoT), wireless sensor networks, as well as 5G, and beyond. This book presents the possible problems and solutions, the network integration of the UAV and compare the communication technologies to be used. This book will be a collection of original contributions regarding state of the art AI/ML based solutions in UAV communication networks which can be used for routing protocol design, transport layer optimization, user/application behaviour prediction, communication network optimization, security, and anomaly detection.

Computational Intelligence for Unmanned Aerial Vehicles Communication Networks

Computational Intelligence for Unmanned Aerial Vehicles Communication Networks
Author :
Publisher : Springer Nature
Total Pages : 294
Release :
ISBN-10 : 9783030971137
ISBN-13 : 3030971139
Rating : 4/5 (37 Downloads)

Book Synopsis Computational Intelligence for Unmanned Aerial Vehicles Communication Networks by : Mariya Ouaissa

Download or read book Computational Intelligence for Unmanned Aerial Vehicles Communication Networks written by Mariya Ouaissa and published by Springer Nature. This book was released on 2022-03-29 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide a vision that can combine the best of both Artificial Intelligence (AI) and communication networks for designing the deployment trajectory to establish flexible Unmanned Aerial Vehicles (UAV) communication networks.This book will discuss the major challenges that can face deploying unmanned aerial vehicles in emergent networks. It will focus on possible applications of UAV in a Smart City environment where they can be supported by Internet of Things (IoT), wireless sensor networks, as well as 5G, and beyond. This book presents the possible problems and solutions, the network integration of the UAV and compare the communication technologies to be used.This book will be a collection of original contributions regarding state of the art AI/ML based solutions in UAV communication networks which can be used for routing protocol design, transport layer optimization, user/application behaviour prediction, communication network optimization, security, and anomaly detection.

Unmanned Aerial Vehicles in Smart Cities

Unmanned Aerial Vehicles in Smart Cities
Author :
Publisher : Springer
Total Pages : 187
Release :
ISBN-10 : 3030387119
ISBN-13 : 9783030387112
Rating : 4/5 (19 Downloads)

Book Synopsis Unmanned Aerial Vehicles in Smart Cities by : Fadi Al-Turjman

Download or read book Unmanned Aerial Vehicles in Smart Cities written by Fadi Al-Turjman and published by Springer. This book was released on 2020-05-19 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the major challenges in realizing unmanned aerial vehicles (UAVs) in IoT-based Smart Cities. The challenges tackled vary from cost and energy efficiency to availability and service quality. The aim of this book is to focus on both the design and implementation aspects of the UAV-based approaches in IoT-enabled smart cities’ applications that are enabled and supported by wireless sensor networks, 5G, and beyond. The contributors mainly focus on data delivery approaches and their performability aspects. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies. Involves the most up to date unmanned aerial vehicles (UAV) assessment and evaluation approaches Includes innovative operational ideas in agriculture, surveillance, rescue, etc. Pertains researchers, scientists, engineers and practitioners in the field of smart cities, IoT, and communications Fadi Al-Turjman received his Ph.D. from Queen’s University, Canada. He is a full professor and a research center director at Near East University, Nicosia. He is a leading authority in the area of IoT and intelligent systems. His publication history spans over 250 publications inaddition to his editorialship in top journals such as the IEEE Communication Surveys and Tutorials, and the Elsevier Sustaibable Cities and Sociaty.

Drones in Smart-Cities

Drones in Smart-Cities
Author :
Publisher : Elsevier
Total Pages : 240
Release :
ISBN-10 : 9780128204306
ISBN-13 : 0128204303
Rating : 4/5 (06 Downloads)

Book Synopsis Drones in Smart-Cities by : Fadi Al-Turjman

Download or read book Drones in Smart-Cities written by Fadi Al-Turjman and published by Elsevier. This book was released on 2020-06-04 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drones in Smart-Cities: Security and Performance is the first book dedicated to drones in smart cities, helping address the many research challenges in bringing UAVs into practice. The book incorporates insights from the latest research in Internet of Things, big data, and cloud computing, 5G, and other communication technologies. It examines the design and implementation of UAV, focusing on data delivery, performability, and security. Intended for researchers, engineers, and practitioners, Drones in Smart-Cities: Security and Performance combines the technical aspects with academic theory to help implement the smart city vision around the globe. - Addresses UAV and IoT for smart cities applications - Examines topics as UAV safety, challenges, localization methods. QoS, simulation tools, and more - Collect the relevant knowledge in one resource, saving research time and effort

Artificial Intelligence in Wireless Robotics

Artificial Intelligence in Wireless Robotics
Author :
Publisher : CRC Press
Total Pages : 354
Release :
ISBN-10 : 9781000793048
ISBN-13 : 1000793044
Rating : 4/5 (48 Downloads)

Book Synopsis Artificial Intelligence in Wireless Robotics by : Kwang-Cheng Chen

Download or read book Artificial Intelligence in Wireless Robotics written by Kwang-Cheng Chen and published by CRC Press. This book was released on 2022-09-01 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robots, autonomous vehicles, unmanned aerial vehicles, and smart factory, will significantly change human living style in digital society. Artificial Intelligence in Wireless Robotics introduces how wireless communications and networking technology enhances facilitation of artificial intelligence in robotics, which bridges basic multi-disciplinary knowledge among artificial intelligence, wireless communications, computing, and control in robotics. A unique aspect of the book is to introduce applying communication and signal processing techniques to enhance traditional artificial intelligence in robotics and multi-agent systems. The technical contents of this book include fundamental knowledge in robotics, cyber-physical systems, artificial intelligence, statistical decision and Markov decision process, reinforcement learning, state estimation, localization, computer vision and multi-modal data fusion, robot planning, multi-agent systems, networked multi-agent systems, security and robustness of networked robots, and ultra-reliable and low-latency machine-to-machine networking. Examples and exercises are provided for easy and effective comprehension. Engineers wishing to extend knowledge in the robotics, AI, and wireless communications, would be benefited from this book. In the meantime, the book is ready as a textbook for senior undergraduate students or first-year graduate students in electrical engineering, computer engineering, computer science, and general engineering students. The readers of this book shall have basic knowledge in undergraduate probability and linear algebra, and basic programming capability, in order to enjoy deep reading.

New Innovations in AI, Aviation, and Air Traffic Technology

New Innovations in AI, Aviation, and Air Traffic Technology
Author :
Publisher : IGI Global
Total Pages : 552
Release :
ISBN-10 : 9798369319550
ISBN-13 :
Rating : 4/5 (50 Downloads)

Book Synopsis New Innovations in AI, Aviation, and Air Traffic Technology by : Khalid, Saifullah

Download or read book New Innovations in AI, Aviation, and Air Traffic Technology written by Khalid, Saifullah and published by IGI Global. This book was released on 2024-07-17 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid advancement of technology, along with the increasing complexity of air traffic management present significant challenges in aviation management. As the industry continues to evolve, aviation professionals must stay updated with the latest advancements to ensure safe and efficient operations. However, accessing comprehensive and up-to-date resources can be difficult, leading to a knowledge gap that hinders the industry's progress. New Innovations in AI, Aviation, and Air Traffic Technology offers a solution to the challenges faced by aviation management professionals by providing a comprehensive overview of futuristic research trends in aviation management. Through case studies, simulations, and experimental results, we offer readers a detailed exploration of the latest trends in air traffic management, uncrewed aerial vehicles (UAVs), electric vehicles, and more. By providing a bridge between theory and practice, this book equips aviation professionals with the knowledge and tools needed to navigate and contribute to the rapidly evolving aviation industry.

Artificial Intelligence for Robotics and Autonomous Systems Applications

Artificial Intelligence for Robotics and Autonomous Systems Applications
Author :
Publisher : Springer Nature
Total Pages : 488
Release :
ISBN-10 : 9783031287152
ISBN-13 : 3031287150
Rating : 4/5 (52 Downloads)

Book Synopsis Artificial Intelligence for Robotics and Autonomous Systems Applications by : Ahmad Taher Azar

Download or read book Artificial Intelligence for Robotics and Autonomous Systems Applications written by Ahmad Taher Azar and published by Springer Nature. This book was released on 2023-05-15 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses many applications of artificial intelligence in robotics, namely AI using visual and motional input. Robotic technology has made significant contributions to daily living, industrial uses, and medicinal applications. Machine learning, in particular, is critical for intelligent robots or unmanned/autonomous systems such as UAVs, UGVs, UUVs, cooperative robots, and so on. Humans are distinguished from animals by capacities such as receiving visual information, adjusting to uncertain circumstances, and making decisions to take action in a complex system. Significant progress has been made in robotics toward human-like intelligence; yet, there are still numerous unresolved issues. Deep learning, reinforcement learning, real-time learning, swarm intelligence, and other developing approaches such as tiny-ML have been developed in recent decades and used in robotics. Artificial intelligence is being integrated into robots in order to develop advanced robotics capable of performing multiple tasks and learning new things with a better perception of the environment, allowing robots to perform critical tasks with human-like vision to detect or recognize various objects. Intelligent robots have been successfully constructed using machine learning and deep learning AI technology. Robotics performance is improving as higher quality, and more precise machine learning processes are used to train computer vision models to recognize different things and carry out operations correctly with the desired outcome. We believe that the increasing demands and challenges offered by real-world robotic applications encourage academic research in both artificial intelligence and robotics. The goal of this book is to bring together scientists, specialists, and engineers from around the world to present and share their most recent research findings and new ideas on artificial intelligence in robotics.