Tag: deep learning
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Deep Learning for Edema Classification Using HCT & Clinical Data
Discover a deep learning framework that integrates HCT scans and clinical data for accurate brain edema classification with 94% AUC performance.
Stress Detection from ECG Using Vision Transformer
Improve stress classification accuracy from ECG signals with vision transformers. Outperforms CNN models on WESAD and RML datasets.
Deep Learning Methods for Solar Irradiance Nowcasting
Compare 3 deep learning approaches using sky images to improve multi-horizon solar irradiance nowcasting for better renewable energy forecasts.
Autonomous Agent Reveals Transferable Molecular Transformer Designs
Discover how autonomous agents optimize molecular transformer designs and transfer innovations across SMILES, proteins, and natural language models.
DUET-VLM: Efficient Dual-Stage Token Reduction for VLMs
Discover DUET-VLM, a dual-stage token reduction method boosting Vision-Language Model efficiency with minimal accuracy loss.