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Found 5 papers, 1 papers with code
Audio-based drone detection and identification using deep learning techniques with dataset enhancement through generative adversarial networks
In this paper, we aim to fill this gap by introducing a hybrid drone acoustic dataset composed of recorded drone audio clips and artificially generated drone audio samples using a state-of-the-art deep learning technique known as the Generative Adversarial Network.
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
Unmanned Aerial Vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems relying on direct observations obtained from fixed cameras and sensors.
Compress or Interfere?
Rapid evolution of wireless medical devices and network technologies has fostered the growth of remote monitoring systems.
Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey, and Future Directions
We present and propose state-of-the-art algorithms to address design challenges with both quantitative and qualitative methods and map these challenges with important CPS applications to draw insightful conclusions on the challenges of each application.
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
Consequently, ML/DL methods are important in transforming the security of IoT systems from merely facilitating secure communication between devices to security-based intelligence systems.
