IEEE

Physics-Informed LSTM-Based Time-Series Forecasting Model for Power Transformers

Abstract: The complexity of data and limited model generalization significantly hinder prediction accuracy. A physics-informed long short-term memory model with adaptive weight assignment (PILSTM-AWA) ...
GitHub

Denovo-Chemical-Molecule-Generation-with-LSTM-RL

This project enables the generation of novel, valid, and drug-like molecules as SMILES strings, using a two-stage approach: Stage 1: Train an LSTM model on a large SMILES dataset for next-token ...
Times Republican

Local leaders gather for two-day Sequential Intercept Model conference at Vets Coliseum

Over the last several years, leaders in law enforcement and the local legal system have taken a proactive approach to criminal justice diversion through programs like the Marshalltown Police and ...
IEEE

LSTM-BP Model: Enhancing Prediction Accuracy for Medium Earth Orbit Satellites

Abstract: To improve the low accuracy of the SGP4 model in short-term orbit prediction for medium Earth orbit satellites and the instability in LSTM model training, this paper proposes and develops an ...