A project focused on using Explainable AI (XAI) techniques to interpret machine learning models for diagnosing faults in medium-sized industrial bearings. This repository includes implementations of ...

Osteoporotic fragility fractures often lead to hospitalization and impose a significant economic burden. To investigate the clinical characteristics of hospitalized major osteoporotic fractures in ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Abstract: Deaf and Hard of Hearing (DHH) students encounter obstacles in higher education due to language and communication challenges. Although research aims to improve their academic performance, ...

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

Company Adds 39 New Global Patents to Enrich New Product Innovation and Deepen Leadership in Explainable AI ...

QuadSci, the most predictive and prescriptive AI for customer intelligence, has been selected as the winner of the 2026 Machine Learning Company of the Year award in the 9th annual AI Breakthrough ...

Abstract: The concept of a decentralized smart grid has emerged as a viable approach for efficiently managing and distributing electrical energy. Ensuring the stability and reliability of the grid, ...

A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes applications. By introducing ...

2 King’s College Hospital NHS Trust, London, United Kingdom Introduction Pancreatic neuroendocrine tumours (PanNET) are rare. This study aims to build a risk stratification machine learning (ML) model ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...