IEEE

Context-Informed Incremental Learning Improves Throughput and Reduces Drift in Regression-Based Myoelectric Control

Abstract: Despite decades of research, commercially available powered myoelectric prostheses continue to use sequential, classification-based control. While regression-based approaches can improve the ...
IEEE

A Comprehensive Machine Learning Approach for Wild Fire Detection and Classification Using Squeezenet and Ridge Regularized Logistic Regression

Abstract: Wild fire is a serious environmental and socioeconomic menace and therefore any effort aimed at the early and accurate detection of wild fire has to be very useful. This paper proposes a ...
C&EN

Practical Guidance for Training Machine Learning Models in Metabolomics and Mass Spectrometry Research

Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada Department of Electrical and Computer ...
Phys.org

Between rain and snow, machine learning finds nine precipitation types

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...
Finbold | Finance in Bold

Machine learning algorithm predicts AMD stock price on October 31, 2025

Advanced Micro Devices (NASDAQ: AMD) exploded on Monday, October 6, after the company announced a new partnership with OpenAI. As part of the deal, OpenAI will deploy up to 6 gigawatts (GW) of AMD ...
Frontiers

Correlation between systemic inflammatory response index and post-stroke epilepsy based on multiple logistic regression analysis

1 College of Life and Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China 2 Department of Neurology, Dazhou Central Hospital, Dazhou, China Background: Post-stroke epilepsy ...