Recurrent_deep_learning_based_monthly_deforestation_prediction (github):
This code is described in the paper A Recurrent Deep Learning-based Monthly Deforestation Prediction Model in Eight Areas for Brazilian Amazon: A Pilot Study accepted by IGARSS2024.
STM-FT-CNN_for_sEMG_PR (github):
This code is described in the paper A Style Transfer Mapping and Fine-tuning Subject Transfer Framework Using Convolutional Neural Networks for Surface Electromyogram Pattern Recognition accepted by ICASSP2022.
SS-STM_for_MyoDatasets (github):
This code is described in the paper Semi-supervised style transfer mapping-based framework for sEMG-based pattern recognition with 1- or 2-DoF forearm motions accepted by Biomedical Signal Processing and Control, 2021.
Wearable_Sensor_Long-term_sEMG_Dataset (github):
This code is described in the paper Are armband sEMG devices dense enough for long-term use?--Sensor placement shifts cause significant reduction in recognition accuracy accepted by Biomedical Signal Processing and Control, 2020.
MSDL_based_artifact_rejection (github):
This code is described in the paper Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms accepted by Neurocomputing, 2019.
Motor imagery-based single-channel EEG classification (github):
This code is described in the paper A Comparative Study of Features and Classifiers in Single-channel EEG-based Motor Imagery BCI accepted by Global SIP 2018.