A deep convolutional neural network model with two-stream feature fusion and cross-load adaptive characteristics for fault diagnosis
Sign Up to like & getrecommendations! Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/acd01e
Abstract: Research aimed at diagnosing rolling bearing faults is of great significance to the health management of equipment. In order to solve the problem that rolling bearings are faced with variable operating conditions and the fault… read more here.
Keywords: fusion; feature fusion; two stream; model ... See more keywords
A Multi-Stream Feature Fusion Approach for Traffic Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3026836
Abstract: Accurate and timely traffic flow prediction is crucial for intelligent transportation systems (ITS). Recent advances in graph-based neural networks have achieved promising prediction results. However, some challenges remain, especially regarding graph construction and the time… read more here.
Keywords: stream feature; feature fusion; traffic; prediction ... See more keywords