Applications Of Machine Learning In Uav Networks
DOWNLOAD
Download Applications Of Machine Learning In Uav Networks PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Applications Of Machine Learning In Uav Networks 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
Applications Of Machine Learning In Uav Networks
DOWNLOAD
Author : Hassan, Jahan
language : en
Publisher: IGI Global
Release Date : 2024-01-17
Applications Of Machine Learning In Uav Networks written by Hassan, Jahan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-17 with Computers categories.
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.
Machine Learning For Drone Enabled Iot Networks
DOWNLOAD
Author : Jahan Hassan
language : en
Publisher: Springer Nature
Release Date : 2025-04-30
Machine Learning For Drone Enabled Iot Networks written by Jahan Hassan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Mathematics categories.
This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones. The book aims to include cutting edge research and development on a number of areas within the topic including but not limited to: •Machine learning algorithms for drone-enabled IoT networks •Sensing and data collection with drones for IoT applications •Data analysis and processing for IoT networks assisted by drones •Energy-efficient and scalable solutions for drone-assisted IoT networks •Security and privacy issues in drone-enabled IoT networks •Emerging trends and future directions in ML for drone-assisted IoT networks.
Unmanned Aerial Vehicles Swarm For Protecting Smart Cities
DOWNLOAD
Author : Oroos Arshi
language : en
Publisher: Springer Nature
Release Date : 2025-02-28
Unmanned Aerial Vehicles Swarm For Protecting Smart Cities written by Oroos Arshi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Technology & Engineering categories.
Explore the intersection between unmanned aerial vehicles (UAVs) and the evolving landscape of smart cities. With the increasing integration of technology into urban environments, there is a growing need to understand how UAV swarms can contribute to the safety, efficiency, and resilience of these complex urban ecosystems. The book aims to provide a technical understanding of UAV swarms and their applications within the context of smart cities. It begins by laying the groundwork with an introduction to UAV swarms and smart cities, establishing the foundational concepts and motivations behind their integration. As the book progresses, it delves into various aspects of smart cities, exploring concepts, technologies, and challenges inherent in their development and operation. This includes discussions on cloud computing, cybersecurity, machine learning applications, surveillance and monitoring systems, urban planning, and infrastructure management. It also examines the integration of IoT devices with UAV swarms, highlighting the synergies between these emerging technologies and their potential impact on urban environments. The book examines cutting-edge topics such as edge computing, blockchain applications, 5G integration, and augmented reality/virtual reality (AR/VR) visualization techniques in the context of UAV swarm operations. It concludes with reflections on innovations and future directions, offering insights into the evolving landscape of UAV swarm technologies and their implications for the protection and advancement of smart cities. The book serves as a comprehensive guide for researchers, practitioners, and policymakers interested in understanding the technical, social, and economic dimensions of UAV swarm technology within the context of smart city development and management. What You Will Learn Identify practical applications of UAV swarms in surveillance monitoring, urban planning, disaster management, and infrastructure resilience Gain comprehensive understanding of UAV swarms by exploring diverse disciplines Apply insights from emerging technologies like cloud computing, machine learning, blockchain, IoT devices, and so on to UAV swarm technology Who Is This Book For This book appeals to a wide range of readers with different interests and backgrounds, including researchers, policymakers, industry stakeholders, practitioners, experts, and general fans who are curious in the confluence of smart cities with UAV swarm technologies with little to no experience or knowledge of UAV swarms.
Drone Data Analytics In Aerial Computing
DOWNLOAD
Author : P. Karthikeyan
language : en
Publisher: Springer Nature
Release Date : 2023-09-26
Drone Data Analytics In Aerial Computing written by P. Karthikeyan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Technology & Engineering categories.
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.
Applications Of Federated Learning In Technological Advancements
DOWNLOAD
Author : S. Jayachitra
language : en
Publisher: CRC Press
Release Date : 2025-09-02
Applications Of Federated Learning In Technological Advancements written by S. Jayachitra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-02 with Computers categories.
This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins. Real-world examples and case studies illustrate federated learning’s role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into federated learning’s transformative potential, offering practical strategies for intelligent systems and sustainable environments. The book particularly: • Focuses on the federated learning–based model optimization, addressing the significance of IoT and federated learning in the evolution of intelligent systems for various applications; • Describes the different optimization techniques of federated learning systems from a practical point of view; • Highlights economic, social, and environmental impacts of smart technologies and provides insights into IoT, 5G/ 6G communication, and computing standards; • Provides analysis of the use cases of federated learning regarding the development of IoT, AI, blockchain, digital twins; • Offers strategies for overcoming challenges associated with federated learning systems, including connectivity, computation, threats, privacy, and security issues. It covers fundamental concepts, practical implementations, and trends, to serve as a reference resource for professionals and researchers in the field.
Blockchain For 5g Enabled Iot
DOWNLOAD
Author : Sudeep Tanwar
language : en
Publisher: Springer Nature
Release Date : 2021-04-09
Blockchain For 5g Enabled Iot written by Sudeep Tanwar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-09 with Technology & Engineering categories.
This book addresses one of the most overlooked practical, methodological, and moral questions in the journey to secure and handle the massive amount of data being generated from smart devices interactions: the integration of Blockchain with 5G-enabled IoT. After an overview, this book discusses open issues and challenges, which may hinder the growth of Blockchain technology. Then, this book presents a variety of perspectives on the most pressing questions in the field, such as: how IoT can connect billions of objects together; how the access control mechanisms in 5G-enabled industrial environment works; how to address the real-time and quality-of-service requirements for industrial applications; and how to ensure scalability and computing efficiency. Also, it includes a detailed discussions on the complexity of adoption of Blockchain for 5G-Enabled IoT and presents comparative case studies with respect to various performance evaluation metrics such as scalability, data management, standardization, interoperability and regulations, accessibility, human-factors engineering and interfaces, reliability, heterogeneity, and QoS requirements. This book acts as a professional guide for the practitioners in information security and related topics.
Handbook Of Research On Machine And Deep Learning Applications For Cyber Security
DOWNLOAD
Author : Ganapathi, Padmavathi
language : en
Publisher: IGI Global
Release Date : 2019-07-26
Handbook Of Research On Machine And Deep Learning Applications For Cyber Security written by Ganapathi, Padmavathi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-26 with Computers categories.
As the advancement of technology continues, cyber security continues to play a significant role in today’s 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.
Data Science And Applications
DOWNLOAD
Author : Satyasai Jagannath Nanda
language : en
Publisher: Springer Nature
Release Date : 2025-06-21
Data Science And Applications written by Satyasai Jagannath Nanda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-21 with Computers categories.
This book gathers outstanding papers presented at the 5th International Conference on Data Science and Applications (ICDSA 2024), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 17 to 19 July 2024. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
Mean Field Game And Its Applications In Wireless Networks
DOWNLOAD
Author : Reginald A. Banez
language : en
Publisher: Springer Nature
Release Date : 2021-10-30
Mean Field Game And Its Applications In Wireless Networks written by Reginald A. Banez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-30 with Computers categories.
This book covers the basic theory of mean field game (MFG) and its applications in wireless networks. It starts with an overview of the current and future state-of-the-art in 5G and 6G wireless networks. Then, a tutorial is presented for MFG, mean-field-type game (MFTG), and prerequisite fields of study such as optimal control theory and differential games. This book also includes a literature survey of MFG-based research in wireless network technologies such as ultra-dense networks (UDNs), device-to-device (D2D) communications, internet-of-things (IoT), unmanned aerial vehicles (UAVs), and mobile edge networks (MENs). Several applications of MFG and MFTG in UDNs, social networks, and multi-access edge computing networks (MECNs) are introduced as well. Applications of MFG covered in this book are divided in three parts. The first part covers three single-population MFG research works or case studies in UDNs including ultra-dense D2D networks, ultra-dense UAV networks, and dense-user MECNs. The second part centers on a multiple-population MFG (MPMFG) modeling of belief and opinion evolution in social networks. It focuses on a recently developed MPMFG framework and its application in analyzing the behavior of users in a multiple-population social network. Finally, the last part concentrates on an MFTG approach to computation offloading in MECN. The computation offloading algorithms are designed for energy- and time-efficient offloading of computation-intensive tasks in an MECN. This book targets advanced-level students, professors, researchers, scientists, and engineers in the fields of communications and networks. Industry managers and government employees working in these same fields will also find this book useful.
Analyzing Mobile Apps Using Smart Assessment Methodology
DOWNLOAD
Author : Riskhan, Basheer
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Analyzing Mobile Apps Using Smart Assessment Methodology written by Riskhan, Basheer and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Education categories.
In today’s digital landscape, mobile applications play a role in personal and business operations, making their security and performance critical. Smart assessment methodology offers a structured and intelligent approach to analyzing mobile apps, combining techniques to identify vulnerabilities, performance issues, and compliance issues. Unlike traditional testing methods, this intelligent framework adapts to evolving threats and application environments, providing deeper insights into app functions, data practices, and user interactions. By implementing smart assessment methodology, developers and security professionals can enhance app reliability, optimize user experience, and ensure adherence to privacy and security standards while reducing overall risks. Analyzing Mobile Apps Using Smart Assessment Methodology examines how assessment methodology can be applied to analyze mobile applications for security vulnerabilities, performance issues, and compliance with industry standards. It explores the integration of intelligent techniques to provide a comprehensive and adaptive evaluation of mobile app behavior and risks. This book covers topics such as cloud computing, gamification, and smart technology, and is a useful resource for engineers, educators, academicians, researchers, and scientists.