Applications Of Machine Learning In Uav Networks

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Applications of Machine Learning in UAV Networks

Author : Hassan, Jahan
Publisher : IGI Global
ISBN 13 :
Total Pages : 425 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Applications of Machine Learning in UAV Networks by : Hassan, Jahan

Download or read book Applications of Machine Learning in UAV Networks written by Hassan, Jahan and published by IGI Global. This book was released on 2024-01-17 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.

Deep Learning for Unmanned Systems

Author : Anis Koubaa
Publisher : Springer Nature
ISBN 13 : 3030779394
Total Pages : 731 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Deep Learning for Unmanned Systems by : Anis Koubaa

Download or read book Deep Learning for Unmanned Systems written by Anis Koubaa and published by Springer Nature. This book was released on 2021-10-01 with total page 731 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Research on Machine and Deep Learning Applications for Cyber Security

Author : Ganapathi, Padmavathi
Publisher : IGI Global
ISBN 13 : 1522596135
Total Pages : 482 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Machine and Deep Learning Applications for Cyber Security by : Ganapathi, Padmavathi

Download or read book Handbook of Research on Machine and Deep Learning Applications for Cyber Security written by Ganapathi, Padmavathi and published by IGI Global. This book was released on 2019-07-26 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the advancement of technology continues, cyber security continues to play a significant role in todays world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

Engineering Applications of Neural Networks

Author : John Macintyre
Publisher : Springer
ISBN 13 : 3030202577
Total Pages : 546 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Engineering Applications of Neural Networks by : John Macintyre

Download or read book Engineering Applications of Neural Networks written by John Macintyre and published by Springer. This book was released on 2019-05-14 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.

Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques

Author : Thusnavis, Bella Mary I.
Publisher : IGI Global
ISBN 13 : 1799887650
Total Pages : 325 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques by : Thusnavis, Bella Mary I.

Download or read book Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques written by Thusnavis, Bella Mary I. and published by IGI Global. This book was released on 2022-05-27 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned aerial vehicles (UAVs) and artificial intelligence (AI) are gaining the attention of academic and industrial researchers due to the freedoms that UAVs afford when operating and monitoring activities remotely. Applying machine learning and deep learning techniques can result in fast and reliable outputs and have helped in real-time monitoring, data collection and processing, and prediction. UAVs utilizing these techniques can become instrumental tools for computer/wireless networks, smart cities, military applications, agricultural sectors, and mining. Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques is an essential reference source that covers pattern recognition, machine and deep learning-based methods, and other AI techniques and the impact they have when applied to different real-time applications of UAVs. It synthesizes the scope and importance of machine learning and deep learning models in enhancing UAV capabilities, solutions to problems, and numerous application areas. Covering topics such as vehicular surveillance systems, yield prediction, and human activity recognition, this premier reference source is a comprehensive resource for computer scientists; AI engineers; data scientists; agriculturalists; government officials; military leaders; business managers and leaders; students and faculty of higher education; academic libraries; academicians; and researchers in computer science, computer vision, pattern recognition, imaging, and engineering.

Drones in Smart-Cities

Author : Fadi Al-Turjman
Publisher : Elsevier
ISBN 13 : 0128204303
Total Pages : 240 pages
Book Rating : 4.1/5 (282 download)

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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

Deep Learning and Its Applications for Vehicle Networks

Author : Fei Hu
Publisher : CRC Press
ISBN 13 : 100087723X
Total Pages : 357 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Deep Learning and Its Applications for Vehicle Networks by : Fei Hu

Download or read book Deep Learning and Its Applications for Vehicle Networks written by Fei Hu and published by CRC Press. This book was released on 2023-05-12 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: (I) DL for vehicle safety and security: This part covers the use of DL algorithms for vehicle safety or security. (II) DL for effective vehicle communications: Vehicle networks consist of vehicle-to-vehicle and vehicle-to-roadside communications. This part covers how Intelligent vehicle networks require a flexible selection of the best path across all vehicles, adaptive sending rate control based on bandwidth availability and timely data downloads from a roadside base-station. (III) DL for vehicle control: The myriad operations that require intelligent control for each individual vehicle are discussed in this part. This also includes emission control, which is based on the road traffic situation, the charging pile load is predicted through DL andvehicle speed adjustments based on the camera-captured image analysis. (IV) DL for information management: This part covers some intelligent information collection and understanding. We can use DL for energy-saving vehicle trajectory control based on the road traffic situation and given destination information; we can also natural language processing based on DL algorithm for automatic internet of things (IoT) search during driving. (V) Other applications. This part introduces the use of DL models for other vehicle controls. Autonomous vehicles are becoming more and more popular in society. The DL and its variants will play greater roles in cognitive vehicle communications and control. Other machine learning models such as deep reinforcement learning will also facilitate intelligent vehicle behavior understanding and adjustment. This book will become a valuable reference to your understanding of this critical field.

Drone Technology

Author : Sachi Nandan Mohanty
Publisher : John Wiley & Sons
ISBN 13 : 1394166532
Total Pages : 468 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Drone Technology by : Sachi Nandan Mohanty

Download or read book Drone Technology written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2023-06-20 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: DRONE TECHNOLOGY This book provides a holistic and valuable insight into the revolutionary world of unmanned aerial vehicles (UAV). The book elucidates the revolutionary and riveting research in the ultramodern domain of drone technologies, drone-enabled IoT applications, and artificial intelligence-based smart surveillance. The book explains the most recent developments in the field, challenges, and future scope of drone technologies. Beyond that, it discusses the importance of a wide range of design applications, drone/UAV development, and drone-enabled smart healthcare systems for smart cities. It describes pioneering work on mitigating cyber security threats by employing intelligent machine learning models in the designing of IoT-aided drones. The book also has a fascinating chapter on application intrusion detection by drones using recurrent neural networks. Other chapters address interdisciplinary fields like artificial intelligence, deep learning, the role of drones in healthcare in smart cities, and the importance of drone technology in agriculture. Audience The book will be read and consulted by a range of industry engineers involved with introducing drone technology to their daily operations.

Computational Intelligence for Unmanned Aerial Vehicles Communication Networks

Author : Mariya Ouaissa
Publisher : Springer Nature
ISBN 13 : 3030971139
Total Pages : 294 pages
Book Rating : 4.0/5 (39 download)

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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.

Wiley 5G Ref

Author : Rahim Tafazolli
Publisher : Wiley-Blackwell
ISBN 13 : 9781119471509
Total Pages : 300 pages
Book Rating : 4.4/5 (715 download)

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Book Synopsis Wiley 5G Ref by : Rahim Tafazolli

Download or read book Wiley 5G Ref written by Rahim Tafazolli and published by Wiley-Blackwell. This book was released on 2019-10-31 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wiley 5G Ref: The Essential 5G reference Online is a large-scale, fully comprehensive, twice-yearly updating digital reference, planned for release in 2020 to coincide with commercial deployment of 5G. This essential resource maps out a solid vision of emerging technologies widely foreseen to be adopted by 5G mobile systems, based on current business trends, proven technologies, and the latest international research. Wiley 5G Ref offers a user-friendly format that provides the user with article-level, in-depth technical surveys on all aspects of 5G solutions, architectures, technologies and standards for researchers, practitioners and students in information and communication engineering, computer science and engineering, and telecommunication networking.

Drone Data Analytics in Aerial Computing

Author : P. Karthikeyan
Publisher : Springer Nature
ISBN 13 : 9819950562
Total Pages : 282 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Drone Data Analytics in Aerial Computing by : P. Karthikeyan

Download or read book Drone Data Analytics in Aerial Computing written by P. Karthikeyan and published by Springer Nature. This book was released on 2023-09-26 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the latest research, theoretical, and experimental research innovations in drone data analytics in aerial computing. Drone data analytics guarantees that the right people have the correct data at their fingertips whenever they need it. The contents also discuss the challenges faced with drone data analytics, such as due to the high mobility of drones, aerial computing is significantly different from terrestrial computing. It also includes case studies from leading drone vendors. The book also focuses on the comparison of data management and security mechanisms in drone data analytics. This book is useful to those working in agriculture, mining, waste management, and defenses department.

Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond

Author : Hongliang Zhang
Publisher : Springer Nature
ISBN 13 : 3030330397
Total Pages : 231 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond by : Hongliang Zhang

Download or read book Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond written by Hongliang Zhang and published by Springer Nature. This book was released on 2019-12-13 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses how to plan the time-variant placements of the UAVs served as base station (BS)/relay, which is very challenging due to the complicated 3D propagation environments, as well as many other practical constraints such as power and flying speed. Spectrum sharing with existing cellular networks is also investigated in this book. The emerging unmanned aerial vehicles (UAVs) have been playing an increasing role in the military, public, and civil applications. To seamlessly integrate UAVs into future cellular networks, this book will cover two main scenarios of UAV applications as follows. The first type of applications can be referred to as UAV Assisted Cellular Communications. Second type of application is to exploit UAVs for sensing purposes, such as smart agriculture, security monitoring, and traffic surveillance. Due to the limited computation capability of UAVs, the real-time sensory data needs to be transmitted to the BS for real-time data processing. The cellular networks are necessarily committed to support the data transmission for UAVs, which the authors refer to as Cellular assisted UAV Sensing. To support real-time sensing streaming, the authors design joint sensing and communication protocols, develop novel beamforming and estimation algorithms, and study efficient distributed resource optimization methods. This book targets signal processing engineers, computer and information scientists, applied mathematicians and statisticians, as well as systems engineers to carve out the role that analytical and experimental engineering has to play in UAV research and development. Undergraduate students, industry managers, government research agency workers and general readers interested in the fields of communications and networks will also want to read this book.

Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network

Author : Thiruselvan Subramanian
Publisher : CRC Press
ISBN 13 : 1000688739
Total Pages : 245 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network by : Thiruselvan Subramanian

Download or read book Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network written by Thiruselvan Subramanian and published by CRC Press. This book was released on 2022-10-14 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum computing is a field in which advanced technologies like quantum communication, artificial intelligence and machine learning can be used to secure and speed up connectivity using quantum computers, quantum drones or quantum satellites. This book serve as a foundation for researchers and scientists in this field. Future technologies, such as quantum drone delivery systems, quicker internet and climate change mitigation, will need quantum information processing and quantum computation. This book deeply explores the importance of quantum computing in real-time applications. It may be used as a reference book for students in higher education, including undergraduate and graduate students, as well as researchers. Key features: Provides a clear insight into the Internet of Drones for academicians, postdoc fellows, research scholars, graduate and postgraduate students, industry fellows and software engineers Useful to professionals who seek information about the Internet of Drones, including experts in quantum computing and physics and post-quantum cryptography, as well as data scientists and data analysts Covers quantum computing and security for Unmanned Aerial Vehicles (UAV) or drones which are widely useful for applications such as military, government, and non-government systems Explores futuristic aspects of the Intenet of Drones to improve everyday living for ordinary people

UAV or Drones for Remote Sensing Applications

Author : Felipe Gonzalez Toro
Publisher : MDPI
ISBN 13 : 3038971111
Total Pages : 345 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis UAV or Drones for Remote Sensing Applications by : Felipe Gonzalez Toro

Download or read book UAV or Drones for Remote Sensing Applications written by Felipe Gonzalez Toro and published by MDPI. This book was released on 2018-11-23 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "UAV or Drones for Remote Sensing Applications" that was published in Sensors

Deep Learning Applications with Practical Measured Results in Electronics Industries

Author : Mong-Fong Horng
Publisher : MDPI
ISBN 13 : 3039288636
Total Pages : 272 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Deep Learning Applications with Practical Measured Results in Electronics Industries by : Mong-Fong Horng

Download or read book Deep Learning Applications with Practical Measured Results in Electronics Industries written by Mong-Fong Horng and published by MDPI. This book was released on 2020-05-22 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects 14 articles from the Special Issue entitled “Deep Learning Applications with Practical Measured Results in Electronics Industries” of Electronics. Topics covered in this Issue include four main parts: (1) environmental information analyses and predictions, (2) unmanned aerial vehicle (UAV) and object tracking applications, (3) measurement and denoising techniques, and (4) recommendation systems and education systems. These authors used and improved deep learning techniques (e.g., ResNet (deep residual network), Faster-RCNN (faster regions with convolutional neural network), LSTM (long short term memory), ConvLSTM (convolutional LSTM), GAN (generative adversarial network), etc.) to analyze and denoise measured data in a variety of applications and services (e.g., wind speed prediction, air quality prediction, underground mine applications, neural audio caption, etc.). Several practical experiments were conducted, and the results indicate that the performance of the presented deep learning methods is improved compared with the performance of conventional machine learning methods.

Unmanned Aerial Vehicles Applications: Challenges and Trends

Author : Mohamed Abdelkader
Publisher : Springer Nature
ISBN 13 : 3031320379
Total Pages : 404 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Unmanned Aerial Vehicles Applications: Challenges and Trends by : Mohamed Abdelkader

Download or read book Unmanned Aerial Vehicles Applications: Challenges and Trends written by Mohamed Abdelkader and published by Springer Nature. This book was released on 2023-06-29 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book that covers different aspects of UAV technology, including design and development, applications, security and communication, and legal and regulatory challenges. The book is divided into 13 chapters, grouped into four parts. The first part discusses the design and development of UAVs, including ROS customization, structured designs, and intelligent trajectory tracking. The second part explores diverse applications such as search and rescue, monitoring distributed parameter systems, and leveraging drone technology in accounting. The third part focuses on security and communication challenges, including security concerns, multi-UAV systems, and communications security. The final part delves into the legal and regulatory challenges of integrating UAVs into non-segregated airspace. The book serves as a valuable resource for researchers, practitioners, and students in the field of unmanned aerial vehicles, providing a comprehensive understanding of UAV technology and its applications.

Intelligent Communication Networks

Author : Rajarshi Mahapatra
Publisher : CRC Press
ISBN 13 : 1040032389
Total Pages : 257 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Communication Networks by : Rajarshi Mahapatra

Download or read book Intelligent Communication Networks written by Rajarshi Mahapatra and published by CRC Press. This book was released on 2024-06-06 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of Big Data, conventional communication networks are often limited in their inability to handle complex and voluminous data and information as far as effective processing, transmission, and reception are concerned. This book discusses the evolution of computational intelligence techniques in handling intelligent communication networks. Provides a detailed theoretical foundation of machine learning and computational intelligence algorithms Highlights the state of art machine learning-based solutions for communication networks Presents video demonstrations and code snippets on each chapter for easy understanding of the concepts Discusses applications including resource allocation, spectrum management, channel estimation, and physical layer of wireless networks Demonstrates applications of machine learning techniques for optical networks The text is primarily intended for senior undergraduate and graduate students and academic researchers in fields of electrical engineering, electronics and communication engineering, and computer engineering.