[HTML][HTML] Autonomous UAV navigation using deep learning-based computer vision frameworks: A systematic literature review

AVR Katkuri, H Madan, N Khatri, ASH Abdul-Qawy… - Array, 2024 - Elsevier
The increasing use of unmanned aerial vehicles (UAVs) in both military and civilian
applications, such as infrastructure inspection, package delivery, and recreational activities …

[HTML][HTML] AI-powered IoT and UAV systems for real-time detection and prevention of illegal logging

MNA Ramadan, MAH Ali, SY Khoo, M Alkhedher - Results in Engineering, 2024 - Elsevier
Illegal logging poses a significant threat to environmental conservation, contributing to
deforestation, ecosystem disruption, and economic losses. Traditional detection methods …

[HTML][HTML] Chemical Detection Using Mobile Platforms and AI-Based Data Processing Technologies

D Noh, E Oh - Journal of Sensor and Actuator Networks, 2025 - mdpi.com
The development of reliable gas sensors is very important in many fields such as safety,
environment, and agriculture, and is especially essential for industrial waste and air …

[HTML][HTML] Adaptive target localization under uncertainty using Multi-Agent Deep Reinforcement Learning with knowledge transfer

A Alagha, R Mizouni, S Singh, J Bentahar, H Otrok - Internet of Things, 2025 - Elsevier
Target localization is a critical task in sensitive applications, where multiple sensing agents
communicate and collaborate to identify the target location based on sensor readings …

Develo** a custom communication protocol for UAVs: Ground control station and architecture design

HH Chen - Internet of Things, 2024 - Elsevier
Robots have become a prominent research topic across various application domains in
recent decades. Additionally, unmanned aerial vehicles (UAVs) are extensively used in both …

[HTML][HTML] SecureIoT-FL: A Federated Learning Framework for Privacy-Preserving Real-Time Environmental Monitoring in Industrial IoT Applications

MNA Ramadan, MAH Ali, SY Khoo… - Alexandria Engineering …, 2025 - Elsevier
Industrial environments face increasing challenges in achieving accurate environmental
monitoring and maintaining data privacy. This paper presents the SecureIoT-FL framework …

Reinforcement learning-based drone-assisted collection system for infection samples in IoT environment

X Fu, S Kang - Internet of Things, 2024 - Elsevier
Since infectious disease surveillance and control rely on efficient sample collection, it is
important to research the infection sample collection system. The combination of Internet of …

MAG-FSNet: A high-precision robust forest fire smoke detection model integrating local features and global information

C Yan, J Wang - Measurement, 2025 - Elsevier
Detecting smoke is crucial for early forest fire prevention, yet its fuzzy, sparse texture and
complex forest backgrounds often lead to missed or false detections in traditional models …

[HTML][HTML] Smart Monitoring Method for Land-Based Sources of Marine Outfalls Based on an Improved YOLOv8 Model

S Zhao, H Zhou, H Yang - Water, 2024 - mdpi.com
Land-based sources of marine outfalls are a major source of marine pollution. The
monitoring of land-based sources of marine outfalls is an important means for marine …

Distributed inference in IoT-based aerial network of UAVs

HB Park, SK Lee, SY Cho - Internet of Things, 2025 - Elsevier
Interest in unmanned aerial vehicle (UAV) has increased drastically due to its ability as a
mobile internet of things (IoT) device and capability of accessing remote regions. Due to its …