Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Tech Xplore

New method improves the reliability of statistical estimations

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.
Becker's Hospital Review

From Manual Audits to Machine Learning: The ROI of Smart Drug Diversion Prevention

Manual audits machine learning improves drug diversion prevention by reducing errors, saving staff time, and enhancing patient safety in hospitals.
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.
Medicine Buffalo

Statistical Process Control (SPC)

This asynchronous course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to ...
IEEE

Empowering Autonomous Underwater Vehicles Using Learning-Based Model Predictive Control With Dynamic Forgetting Gaussian Processes

Abstract: Autonomous underwater vehicles (AUVs) present several challenges due to the complex and simultaneous interplay of various factors, including but not limited to unmodeled dynamics, highly ...
IEEE

General Semi-Nonnegative Matrix Factorization and Its Application for Statistical Process Monitoring

Abstract: As an effective feature extraction and dimensionality reduction technique, nonnegative matrix factorization (NMF) has been widely applied in fault detection in recent years. The requirement ...