Abstract: Motor imagery (MI) electroencephalogram (EEG) signals have an important role in brain-computer interface (BCI) research. However, effectively decoding these signals remains a problem to be ...
Abstract: In modern remote sensing image change detection (CD), convolution neural network (CNN), especially U-shaped structure (UNet), has achieved great success due to their powerful discriminative ...
For research I chose this article "Phase-aware speech enchancement with Deep Complex U-Net", which describes the architecture and training of a convolutional neural network for improving speech, ...
Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...
ACFM ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction Pytorch ACM MM2018/A STDN Revisiting spatial-temporal similarity: A deep learning framework for traffic prediction Keras AAAI2019/A ...
The main contributions of this study can be summarized as follows. First, a unified data cleaning and partitioning pipeline was established for the PV panel surface condition recognition task, and ...
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