[HTML][HTML] RF/WiFi-based UAV surveillance systems: A systematic literature review

I Bisio, C Garibotto, H Haleem, F Lavagetto… - Internet of Things, 2024 - Elsevier
Abstract The deployment of Unmanned Aerial Vehicles (UAVs) has gained increasing
interest in various applications during recent years due to its multiple features. At the same …

Leveraging machine learning algorithms for improved disaster preparedness and response through accurate weather pattern and natural disaster prediction

H Jain, R Dhupper, A Shrivastava, D Kumar… - Frontiers in …, 2023 - frontiersin.org
Globally, communities and governments face growing challenges from an increase in
natural disasters and worsening weather extremes. Precision in disaster preparation is …

An efficient hybrid-dnn for ddos detection and classification in software-defined iiot networks

A Zainudin, LAC Ahakonye, R Akter… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Software-defined networking (SDN)-based Industrial Internet of Things (IIoT) networks have
a centralized controller that is a single attractive target for unauthorized users to attack …

DRONET: Multi-tasking framework for real-time industrial facility aerial surveillance and safety

SO Ajakwe, VU Ihekoronye, DS Kim, JM Lee - Drones, 2022 - mdpi.com
The security of key and critical infrastructures is crucial for uninterrupted industrial process
flow needed in strategic management as these facilities are major targets of invaders. The …

Performance enhancement of optimized link state routing protocol by parameter configuration for UANET

EA Tuli, M Golam, DS Kim, JM Lee - Drones, 2022 - mdpi.com
The growing need for wireless communication has resulted in the widespread usage of
unmanned aerial vehicles (UAVs) in a variety of applications. Designing a routing protocol …

Quick and automatic detection of co-seismic landslides with multi-feature deep learning model

W Huangfu, H Qiu, P Cui, D Yang, Y Liu, B Tang… - Science China Earth …, 2024 - Springer
Co-seismic landslide detection is essential for post-disaster rescue and risk assessment
after an earthquake event. However, a variety of ground objects, including roads and bare …

An efficient hybrid deep neural network model for multi-horizon forecasting of power loads in academic buildings

R Akter, MG Shirkoohi, J Wang, W Mérida - Energy and Buildings, 2025 - Elsevier
Accurate power consumption forecasting is crucial for optimizing energy use in smart
buildings, improving efficiency and decision-making to enhance overall energy …

Adaptive drone identification and neutralization scheme for real-time military tactical operations

SO Ajakwe, VU Ihekoronye, R Akter… - 2022 International …, 2022 - ieeexplore.ieee.org
The surging proliferation in the deployment of unmanned aerial vehicles (UAVs) in various
domains has resulted into unsolicited intrusion into private properties and protected areas …

A survey on detection, classification, and tracking of aerial threats using radar and communications systems

W Khawaja, M Ezuma, V Semkin, F Erden… - arxiv preprint arxiv …, 2024 - arxiv.org
The use of unmanned aerial vehicles (UAVs) for a variety of commercial, civilian, and
defense applications has increased many folds in recent years. While UAVs are expected to …

Event‐triggered cooperative control for moving target encirclement and tracking with time‐varying pattern by UAV formation

J Jia, X Chen, W Wang, M Zhang - IET Control Theory & …, 2024 - Wiley Online Library
This paper investigates an event‐triggered cooperative control policy of moving‐target
encirclement and tracking with time‐varying radius commands for unmanned aerial vehicle …