Tag: LSTM

Researchers have built an explainable hybrid deep learning framework that predicts India's Air Quality Index with unprecedented accuracy while tolerating ...

Researchers in New Delhi have built a hybrid deep learning framework combining improved SMOTE, swarm-based feature selection, and chaos-assisted metaheuristic ...

Researchers have developed ZD-HybridNet, a hybrid Transformer-LSTM deep learning framework that detects attack categories withheld from training and explains its ...

A new machine learning framework called Seq2DomML predicts residue-level protein domain boundaries in bacterial proteins directly from sequence, outperforming established ...

A new CNN–LSTM–attention framework combines SHAP explainability and Marabou formal verification to deliver reliable, interpretable injury risk prediction from physiological ...

Researchers have built Tiny-STM, a 68.4-kilobyte LSTM controller with a simple coordinate memory that lets an ESP32 microcontroller track objects ...

A new open-source platform called RealPhe enables reproducible real-time inference of 561 patient conditions from intensive care electronic health records, ...

Researchers have developed a CNN-LSTM deep learning framework that compresses 52 sensor streams from a large hydro-turbine unit into six ...

Researchers in Greece have developed a two-stage framework combining kinematic-aware AIS data preprocessing with a bidirectional recurrent network to predict ...

Researchers in India have built a reinforcement learning day-trading agent that combines CNNs, attention-based LSTMs, and explainable AI to outperform ...