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FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks
There are two fundamental problems in applying deep learning/machine learning methods to disease classification tasks, one is the insufficient number and poor quality of training samples; another one is how to effectively fuse multiple source features and thus train robust classification models.
Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm
Landslide is a natural disaster that can easily threaten local ecology, people's lives and property.
EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning
To achieve a simple and effective model with supervised learning, we propose an efficient CNN and contrastive learning (ECNN-C) method for EEG-based emotion recognition.
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