[HTML][HTML] RF/WiFi-based UAV surveillance systems: A systematic literature review
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 …
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
Globally, communities and governments face growing challenges from an increase in
natural disasters and worsening weather extremes. Precision in disaster preparation is …
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
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 …
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
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 …
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
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 …
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 …
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
Accurate power consumption forecasting is crucial for optimizing energy use in smart
buildings, improving efficiency and decision-making to enhance overall energy …
buildings, improving efficiency and decision-making to enhance overall energy …
Adaptive drone identification and neutralization scheme for real-time military tactical operations
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 …
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
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 …
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 …
encirclement and tracking with time‐varying radius commands for unmanned aerial vehicle …