CEOWORLD magazine

Engineering Excellence: Satish Kumar’s Journey in Cloud-Native Architecture and AI Innovation

The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...
IEEE

Barycenter-Based Optimal Transport Neighborhood Learning Network for Multisource Cross-Machine Bearing Fault Diagnosis

Abstract: In recent years, leveraging data from related machines to learn fault knowledge has emerged as a promising approach to address faulty data scarcity in bearing fault diagnosis, i.e., ...
EurekAlert!

AI-accelerated gas sensing: a first-principles–guided machine learning platform for black phosphorus sensors

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Frontiers

Identification of tobacco leaf diseases using hyperspectral imaging and machine learning with SHAP interpretability analysis

1 College of Agronomy, Sichuan Agricultural University, Chengdu, China 2 Yibin Municipal Company of Sichuan Provincial Tobacco Corporation, Yibin, China Tobacco leaf diseases significantly affect ...
Frontiers

Explainable machine learning model of coronary artery disease combined with diabetes: development and validation study

Background: Coronary artery disease (CAD) demonstrates a strong bidirectional association with diabetes mellitus, which not only elevates cardiovascular disease risk but also correlates with poorer ...
IEEE

LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics—The Case of Greek Songs

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...