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

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Taxonomy of UAVs GPS Spoofing and Jamming Attack Detection Methods, UAV routing protocols and detection mechanisms through the use of Machine Learning (ML), Deep Learning (DL), and Computational Intelligence (CI) techniques. These studies also aim to improve battery life, network performance, and security against attackers. This chapter discusses the different clas

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UAV-Based Rescue System and Seismic Zonation for Hazard Analysis and Disaster Management,h a manner that UAVs automatically deploy to a specified location based on seismic zonation upon receiving signals from the sensors network. Where, seismic zones are produced through computing earthquake catalogs. Through Interpolation techniques, Kalabagh areas are categorized in events frequency,

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General Parametric of Two Micro-Concentrator Photovoltaic Systems for Drone Application,tem using the square dome (88.72%, 1.4° and 140?W). Concerning the flux distribution we got that the flux distribution given by the square dome is uniform. Finally, the power requirement to power the drone‘s motor has been roughly estimated at 390?W for a period of around half an hour. To this must

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Machine Learning and AI Approach to Improve UAV Communication and Networking, UAV capabilities. UAVs are frequently utilized in several life-threatening operations such as rescue, surveillance and transportation. Apart from this, drones-based experiments are conducted in geology, wildlife, safety and ecological protection. Additionally, 5th generation approach which is consi

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,Machine Learning Techniques for UAV Trajectory Optimization—A Survey,ing articles in apparently risky climate, and observation. When utilized in mechanical scenery, UAVs can shape a center piece of modern automation alongside IoT gadgets. With regard to the traditional applications, their trend of getting in similar domains is expected to have enhanced outputs, inspi