and aims to improve the feature learning ability from highly noise signals or complex backgrounds. Although the method is originally developed for vibration-based fault diagnosis, it can be applied to image recognition and speech recognition as well. The major innovation is the integration of soft ...
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training. [link] [code] Jakub Breier, Xiaolu Hou, Martín Ochoa and Jesus Solano. IEEE Transactions on Dependable and Secure Computing, 2022. DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection. [...
Paper tables with annotated results for InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images
UAV swarm [129] CNN Trajectory prediction Y N N N N N Y Y Y Y N N N GCNs [130] GCN+CNN Climate science Y N N N N N Y N N Y Y Y N ST-HSL [131] CNN Crime prediction Y N N N N N Y N N Y Y N N ASTIF-Net [132] GCN+CNN Traffic Forecasting Y N N Y Y N ...
[6] employed the remote camera on an unmanned aerial vehicle (UAV) with 3D reconstruction technology to figure out the degree of damage to wind turbine blades. Non-contact detection is also possible using infrared thermal imaging. For smooth blade surface, the temperature on it should be evenly...
CN103236037A 2013-08-07 Real-time simulation of UAV image degradation model based on stratified CN103500322A 2014-01-08 基于低空航拍图像的车道线自动识别方法 CN106419893A 2017-02-22 Method and device for detecting sleep state CN106504253A 2017-03-15 Processing method and system of medical image...
cameras still monitored humans. To address this limitation, we developed a dataset of risk factors and a smart detection system that enables an immediate response to any abnormal behavior and intensive monitoring thereof. We created an innovative learning dataset that takes into account seven unique ...
Alfa: A dataset for uav fault and anomaly detection. Int. J. Robot. Res. 2021, 40, 515–520. [Google Scholar] [CrossRef] Street, M. Drone Identification and Tracking. Available online: https://www.kaggle.com/competitions/icmcis-drone-tracking (accessed on 24 December 2023). Rodrigues, ...
The findings aim to advance the state of technology in this field, offering insights into more efficient and practical solutions for PV system fault management. Keywords: solar PV; defect detection; machine learning; thermal images; I-V curves; neural networks; SVM; random forest; decision trees...
The remaining parts are arranged as follows. To begin, we provide a summary of related work. Secondly, we introduce the system model. Followed by is our proposed algorithm. And then introduce the performance of COPSA using real dataset. Last but not the least, the conclusion and future resea...