Abstract: This paper explores the discrimination ability and stability of electroencephalogram (EEG) and eye movement signals over time for classifying five emotions: happy, sad, fear, disgust and ...
Abstract: This paper focuses on the detection and classification of micro-unmanned aerial vehicles (UAVs)using radio frequency (RF)fingerprints of the signals transmitted from the controller to the ...
[2025.08.27] We have released the pre-trained weights. [2025.10.06] Our paper accepted for publication in Applied Soft Computing. Convolutional networks, transformers, hybrid models, and Mamba-based ...
Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...
DeText is a Deep Text understanding framework for NLP related ranking, classification, and language generation tasks. It leverages semantic matching using deep neural networks to understand member ...
Cells were stained by tartrate-resistant acid phosphatase (TRAP) staining (Sigma-Aldrich, St. Louis, MO, United States), and images were captured using the BZ-X810 inverted microscope (Keyence, Osaka, ...
Motor imagery (MI) allows the design of self-paced brain–computer interfaces (BCIs), which can potentially afford an intuitive and continuous interaction. However, the implementation of non-invasive ...
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