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

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UAV-Based Rescue System and Seismic Zonation for Hazard Analysis and Disaster Management,isaster planning of affected regions. Therefore, the critical demand of society is to invent efficient ways to tackle disastrous situations. UAV-based technologies are the only realistic approach to deal with such circumstances. Additionally, UAVs are already acknowledged for low cost-effectiveness

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Multi-sensor Fusion Methods for Unmanned Aerial Vehicles to Detect Environment Using Deep Learning e. The output model brings an accurate image since it compares the strengths of the different sensors. Deep learning provides some networks and techniques to avail sensor fusion capability. Deep learning is the branch of Machine learning. Deep learning is based on learning and improving on its own b

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978-3-030-97115-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Computational Intelligence for Unmanned Aerial Vehicles Communication Networks978-3-030-97113-7Series ISSN 1860-949X Series E-ISSN 1860-9503

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Prioritising National Security Requirements 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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