Tag: LSTM

A new dendrite-inspired recurrent neural network architecture outperforms LSTMs on chaotic forecasting benchmarks and achieves strong seizure detection in raw ...

A 43-year, 38-station machine-learning study of Nigerian rainfall identifies four shifting climate zones, rising monsoon extremes and last-month rainfall as ...

Researchers have built a microgrid scheduling system that pairs online electric vehicle battery state estimation with a neural network surrogate, ...

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, ...