GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
IEEE

Machine-Learning-Based Condition Monitoring of Power Electronics Modules in Modern Electric Drives

Abstract: Integrating machine-learning (ML) models responsible for predicting the evolution of those directly collected or implicitly derived parameters enhances the smartness of industrial systems ...
C&EN

Fe–Al–Si Thermoelectric (FAST) Materials and Modules: Diffusion Couple and Machine-Learning-Assisted Materials Development

State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, P. R. China Article Views are the COUNTER-compliant ...
GitHub

Python Module for WAGO 750-xxx series PLCs

This third party Python module provides an abstraction layer for interacting with WAGO 750 series PLCs through Modbus TCP communication. It offers an object-oriented interface to control and monitor ...
IEEE

Enhancing Active Learning With Semi-Supervised Loss Prediction Modules

Abstract: In recent years, deep learning techniques have substantially improved across numerous applications. However, these advancements come with the requirement for extensive human-labeled data, ...