Tag: BiLSTM
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Explainable Fall Detection for Elderly Using T-SHAP & LSTM
Discover a reliable, explainable fall detection method for elderly care using temporally stable SHAP and skeleton-based activity recognition with 94.3% acc...
Transformer-Based Symptom Recognition & Linking in Healthcare
Explore how transformer models improve symptom recognition and entity linking in medical texts using RoBERTa, BiLSTM, CRF, and SapBERT.
SE ViT-BiLSTM Intrusion Detection for Secure IIoT & IoMT
Discover SE ViT-BiLSTM, a hybrid model boosting intrusion detection accuracy and efficiency in IIoT and IoMT cybersecurity environments.