1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits
PulseAugur coverage of 1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits — every cluster mentioning 1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits across labs, papers, and developer communities, ranked by signal.
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Study: Shorter data windows optimize AI for hospital readmission prediction
A new study published on arXiv explores the optimal historical data window for predicting hospital readmissions. Researchers found that for unstructured clinical notes, a shorter window of three to six months prior to s…
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AI enhances fault diagnosis for aircraft using digital twins and LLMs
Researchers have developed an intelligent fault diagnosis system for general aviation aircraft, addressing challenges like limited real-world fault data. The system integrates a high-fidelity flight dynamics simulator w…
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VAMP-Net uses AI to predict drug resistance in tuberculosis with high accuracy
Researchers have developed VAMP-Net, a novel dual-pathway neural network designed to predict drug resistance in Mycobacterium tuberculosis. The network combines a Set Attention Transformer for analyzing genomic variants…