Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Kiplinger

Machine Learning in Finance: Real-World Applications and Challenges

Key applications of machine learning in finance Machine learning is changing the face of finance by automating complex processes, increasing security and allowing better decision-making. Financial ...
C&EN

Application of Machine Learning in Hydraulic Fracturing: A Review

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. Hydraulic ...
C&EN

Using Machine Learning and Optical Microscopy Image Analysis of Immunosensors Made on Plasmonic Substrates: Application to Detect the SARS-CoV-2 Virus

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this article, we introduce a diagnostic platform comprising an optical microscopy ...
IEEE

A Survey on Machine Learning Enhanced Integrated Sensing and Communication Systems: Architectures, Algorithms, and Applications

Abstract: Integrated sensing and communications (ISAC) technology is being developed in wireless communications systems in the sixth generation (6G). ISAC has the advantages of lower cost, better ...
Frontiers

Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis

1 School of Data Sciences, Zhejiang University of Finance and Economics, Hangzhou, China 2 Department of Emergency, First Hospital of Shanxi Medical University, Taiyuan, China Background: In the past ...
Scientific Research Publishing

Application of Machine Learning in Electronic Device Fault Diagnosis ()

As electronic devices become increasingly complex, traditional fault diagnosis methods face significant challenges. Machine learning technologies offer new opportunities and solutions for electronic ...