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 ...
Accurate classification of tobacco leaf diseases is critical for objective disease assessment and management. However, traditional manual observation methods are inherently subjective, 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 ...
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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