Abstract: For classification tasks, such as protein-protein interactions (PPI), support vector machines (SVMs) have been continually utilised as a standard machine learning model. However, most ...

Abstract: Estimation of the target’s location and velocity using radar sensors is a long-standing problem, and improving the accuracy of these estimates is still an open challenge. In fact, the ...

This study compares two different techniques in a time series small area application: state space models estimated with the Kalman filter with a frequentist approach to hyperparameter estimation, and ...

This repository contains a comprehensive implementation of battery State of Charge (SoC) estimation using various deep learning models including LSTM, Bidirectional LSTM, GRU, Bidirectional GRU, and ...