Abstract: The electroencephalograph (EEG) records the electrical activity of the human brain. Decoding the class of visual stimuli from EEG has always been a key focus in Brain-Computer Interface (BCI ...
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
Water Quality Assessment Leveraging CNN-LSTM and Gradient Boosting for Prediction and Classification
Abstract: Accurate prediction of water quality can support in water resource management by the early warning of water pollution. Water quality assessment is crucial for ensuring the availability of ...
Abstract: Urban sound classification has become a critical enabling technology for Internet of Things (IoT) applications, smart cities, and environmental monitoring systems. Despite advances in deep ...
Abstract: Improving the resolution of medical images is an important task in ensuring trustworthy diagnosis and effective monitoring of diseases. Of the newest deep learning algorithms, Convolutional ...
Abstract: Electrical circuits play a vital role in industrial, automotive, and power systems, where even minor faults can lead to severe performance degradation or system failure. Traditional fault ...
Abstract: Developing robust models for medical imaging that effectively generalize across diverse image characteristics remains a significant challenge, primarily due to the limited availability of ...
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