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Titlebook: Computational Intelligence for Unmanned Aerial Vehicles Communication Networks; Mariya Ouaissa,Inam Ullah Khan,Syed Bilal Hussain Book 20

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發(fā)表于 2025-3-21 18:51:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Computational Intelligence for Unmanned Aerial Vehicles Communication Networks
編輯Mariya Ouaissa,Inam Ullah Khan,Syed Bilal Hussain
視頻videohttp://file.papertrans.cn/233/232464/232464.mp4
概述Combines AI and communication networks to establish flexible UAV communication networks.Focuses on possible applications of Unmanned Aerial Vehicles in a Smart City environment.Recent research on Comp
叢書(shū)名稱(chēng)Studies in Computational Intelligence
圖書(shū)封面Titlebook: Computational Intelligence for Unmanned Aerial Vehicles Communication Networks;  Mariya Ouaissa,Inam Ullah Khan,Syed Bilal Hussain  Book 20
描述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, communicationnetwork optimization, security, and anomaly detection..
出版日期Book 2022
關(guān)鍵詞Computational Intelligence; Unmanned Aerial Vehicle; Drones; Artificial Intelligence; Internet of Things
版次1
doihttps://doi.org/10.1007/978-3-030-97113-7
isbn_softcover978-3-030-97115-1
isbn_ebook978-3-030-97113-7Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 23:47:53 | 只看該作者
1860-949X Vehicles in a Smart City environment.Recent research on CompThis 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
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Prioritising National Security Requirementserms of all algorithmic and navigation performance indicators. The overall assessment in comparison with two well-known competitors of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) indicates the success of the proposed metaheuristic algorithms over the basic integrated navigation problem.
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Metaheuristic Algorithms for Integrated Navigation Systems,erms of all algorithmic and navigation performance indicators. The overall assessment in comparison with two well-known competitors of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) indicates the success of the proposed metaheuristic algorithms over the basic integrated navigation problem.
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UAV-Based Photogrammetry and Seismic Zonation Approach for Earthquakes Hazard Analysis of Pakistan, operation. Furthermore, proposed approach is composed of Flying Ad hoc Networks and Seismic Zonation statistics which are mainly utilized to improve surveillance in hazardous condition. Moreover, interpolation techniques are used to improve visual representation of seismic zone which assist UAVs in life-saving tasks.
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Strategic Investment Decisions in Chinaed for a low-price radio-controlled drone. This chapter mainly focuses on applications of drones, the significance of big data in UAV surveillance, challenges of big data in UAV surveillance, conclusion, and Future work of UAV surveillance.
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