Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues

A Heidari, N Jafari Navimipour, M Unal… - ACM Computing …, 2023 - dl.acm.org
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

[HTML][HTML] Vision-based autonomous landing for the UAV: A review

L Xin, Z Tang, W Gai, H Liu - Aerospace, 2022 - mdpi.com
With the rapid development of the UAV, it is widely used in rescue and disaster relief, where
autonomous landing is the key technology. Vision-based autonomous landing has the …

Autonomous drone racing: A survey

D Hanover, A Loquercio, L Bauersfeld… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Over the last decade, the use of autonomous drone systems for surveying, search and
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …

[HTML][HTML] Deep reinforcement learning for truck-drone delivery problem

Z Bi, X Guo, J Wang, S Qin, G Liu - Drones, 2023 - mdpi.com
Utilizing drones for delivery is an effective approach to enhancing delivery efficiency and
lowering expenses. However, to overcome the delivery range and payload capacity …

Drone navigation using region and edge exploitation-based deep CNN

MA Arshad, SH Khan, S Qamar, MW Khan… - IEEE …, 2022 - ieeexplore.ieee.org
Drones are unmanned aerial vehicles (UAV) utilized for a broad range of functions,
including delivery, aerial surveillance, traffic monitoring, architecture monitoring, and even …

Early detection of forest fire using mixed learning techniques and UAV

VL Kasyap, D Sumathi, K Alluri… - Computational …, 2022 - Wiley Online Library
Over the last few decades, forest fires are increased due to deforestation and global
warming. Many trees and animals in the forest are affected by forest fires. Technology can …

Recent advancements in deep learning applications and methods for autonomous navigation: A comprehensive review

AA Golroudbari, MH Sabour - arXiv preprint arXiv:2302.11089, 2023 - arxiv.org
This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …

Multi-objective reinforcement learning for autonomous drone navigation in urban areas with wind zones

J Wu, Y Ye, J Du - Automation in Construction, 2024 - Elsevier
Drones can be used for tasks such as data collection and logistics in civil engineering.
Current research on autonomous drones mainly focuses on planning a safe path and …

Utilizing artificial intelligence and lotus effect in an emerging intelligent drone for persevering solar panel efficiency

FA Almalki, AA Albraikan… - … and Mobile Computing, 2022 - Wiley Online Library
Solar energy has been receiving increasing attention due to the wide range of functionality it
now supports and the promise of reduced environmental pollution. However, there are a few …

CDAnet: A Physics‐Informed Deep Neural Network for Downscaling Fluid Flows

MAER Hammoud, ES Titi, I Hoteit… - Journal of Advances in …, 2022 - Wiley Online Library
Generating high‐resolution flow fields is of paramount importance for various applications in
engineering and climate sciences. This is typically achieved by solving the governing …