Toward high entropy material discovery for energy applications using computational and machine learning methods
Wan, X. et al. Machine learning paves the way for high entropy compounds exploration: challenges, progress, and outlook. Adv. Mater....
Applications
Artificial intelligence in polycystic ovary syndrome: a systematic review of diagnostic and predictive applications
Study selectionFrom 662 records initially identified (SCOPUS: 408, Web of Science: 153, PubMed: 101), 245 unique studies remained after removing...
Machine learning in biological research: key algorithms, applications, and future directions | BMC Biology
Ordinary least squares regressionOverviewOrdinary least squares (OLS) is a statistical method that is used to estimate the parameters of a...
A review of machine learning applications in heart health | BioMedical Engineering OnLine
This section covers papers that apply machine learning methods to predict the diagnosis of a stroke. The section titles are...
FSU’s 2025 Artificial Intelligence and Machine Learning Expo explores latest applications for technology in education
Florida State University will bring together experts on artificial intelligence and machine learning this month to discuss ways these cutting-edge...
A comprehensive survey of federated transfer learning: Challenges, methods and applications
The challenges of FTL. Credit: Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong Federated Learning (FL) has gained...
