A novel metaheuristics with adaptive neuro-fuzzy inference system for decision making on autonomous unmanned aerial vehicle systems

M Ragab, EB Ashary, WH Aljedaibi, IR Alzahrani… - ISA transactions, 2023 - Elsevier
Recently, autonomous systems have received considerable attention amongst research
communities and academicians. Unmanned aerial vehicles (UAVs) find useful in several …

Energy‐efficient cluster‐based unmanned aerial vehicle networks with deep learning‐based scene classification model

IV Pustokhina, DA Pustokhin… - International Journal …, 2021 - Wiley Online Library
In present days, unmanned aerial vehicles (UAVs) have gained significant interest among
researchers and academicians. The UAVs were found useful in diverse application areas …

A review of intelligent optimization algorithm applied to unmanned aerial vehicle swarm search task

Z Qiming, W Husheng… - 2021 11th International …, 2021 - ieeexplore.ieee.org
Collaborative search is one of the key application fields of UAV swarm, Efficient and
accurate algorithm is very important to complete the task of UAV swarm search, and the …

Machine learning techniques in internet of UAVs for smart cities applications

FA Alqurashi, F Alsolami… - Journal of Intelligent …, 2022 - content.iospress.com
Recently, there were much interest in technology which has emerged greatly to the
development of smart unmanned systems. Internet of UAV (IoUAV) enables an unmanned …

UAV swarm intelligence: Recent advances and future trends

Y Zhou, B Rao, W Wang - Ieee Access, 2020 - ieeexplore.ieee.org
The dynamic uncertain environment and complex tasks determine that the unmanned aerial
vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In …

A comprehensive survey on artificial intelligence for unmanned aerial vehicles

S Sai, A Garg, K Jhawar, V Chamola… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) is an emerging technology that finds its application in various
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …

[HTML][HTML] Enhanced artificial gorilla troops optimizer based clustering protocol for UAV-assisted intelligent vehicular network

H Alsolai, JS Alzahrani, M Maray, M Alghamdi… - Drones, 2022 - mdpi.com
The increasing demands of several emergent services brought new communication
problems to vehicular networks (VNs). It is predicted that the transmission system …

[HTML][HTML] White shark optimizer with optimal deep learning based effective unmanned aerial vehicles communication and scene classification

T Nadana Ravishankar, M Ramprasath, A Daniel… - Scientific Reports, 2023 - nature.com
Unmanned aerial vehicles (UAVs) become a promising enabler for the next generation of
wireless networks with the tremendous growth in electronics and communications. The …

Deep learning-based aerial image classification model using inception with residual network and multilayer perceptron

MS Minu, RA Canessane - Microprocessors and Microsystems, 2022 - Elsevier
At present times, unmanned aerial vehicles (UAVs) have become popular owing to the
advantages such as scalable, versatile, autonomous, and inexpensive. The aerial image …

Energy efficient neuro-fuzzy cluster based topology construction with metaheuristic route planning algorithm for unmanned aerial vehicles

IV Pustokhina, DA Pustokhin, EL Lydia, M Elhoseny… - Computer …, 2021 - Elsevier
At present times, unmanned aerial vehicles (UAVs) received significant attention among
several application areas and services in both defense and civilian domains. The existence …