IEEE

Condition-Based Maintenance Scheduling Using Probability Distribution Function and Agglomerative Hierarchical Clustering Approaches: AI-Driven Predictive Maintenance Mapping

Abstract: Advanced industries such as wind turbines aim for condition-based maintenance (CBM) to enhance system availability and reach higher revenue. Hence, decision making plays an essential role in ...
IEEE

Digital Twin-Driven Predictive Maintenance Using ML Models in Industry 5.0 Environments

Abstract: The Industry 5.0 has integrated into a new paradigm of manufacturing and industry system and the ideal convergence of man and machine. In this regard, predictive maintenance (PdM) is ...
GitHub

ML Pipeline Automation Tool - Chain together data processing, model training, and deployment with minimal code

MLFCrafter is a Python Tool that simplifies machine learning pipeline creation through chainable "crafter" components. Build, train, and deploy ML models with minimal code and maximum flexibility.
Frontiers

Machine learning–guided feature selection and predictive model construction for attention-deficit/hyperactivity disorder

Background: Attention Deficit/Hyperactivity Disorder (ADHD) is a highly prevalent neurodevelopmental disorder, but its diagnosis remains constrained. This study aimed to identify potential candidate ...