Model-Constrained Deep Learning for Online Fault Diagnosis in Li-ion Batteries over Stochastic Conditions for the Proposed Scenario Code. The meaning of the code file is as follows: Train: Training of ...

A comprehensive MATLAB/Simulink implementation of a Doubly-Fed Induction Generator (DFIG) wind power system with integrated energy storage, featuring advanced control strategies, professional GUI ...

Deep learning, as an important branch of machine learning, has been widely applied in computer vision, natural language processing, speech recognition, and more. However, recent studies have revealed ...

Here, we propose a deep-learning method (EQpolarity) for determining the P-wave first-motion polarity using the vertical-component seismic waveforms. The proposed deep-learning method was trained ...

This deep learning-based approach significantly reduces the confusion between PE and fatty acids observed in conventional Raman spectral analyses of microplastics, thereby demonstrating its potential ...

In this multicentre cohort study, tissue samples from patients with colorectal cancer were obtained by surgical resection and stained with haematoxylin and eosin. These samples were then digitised ...