IEEE

BCI based EEG Signals classification using Machine Learning Approach

Abstract: this research investigates the effectiveness of classifiers in non-invasive electroencephalogram (EEG) Classification based brain computer interface (BCI) systems. Such systems are crucial ...
Frontiers

Differential diagnosis of eczema and psoriasis using routine clinical data and machine learning: development of a web-based tool in a multicenter outpatient cohort

Background: Eczema and psoriasis are common chronic dermatoses with overlapping features, making early differential diagnosis difficult. While biopsy is the gold standard, its invasiveness and ...
C&EN

Classification of NaCl and CsCl Crystal Structures: Establishing an Integrated Didactic Approach for Machine Learning and Chemistry in Upper Secondary Education

© 2025 The Author. Published by American Chemical Society and Division of Chemical Education, Inc. Article Views are the COUNTER-compliant sum of full text article ...
C&EN

Machine-Learning Predictions of Rate Constants of Internal Conversion Using Electronic and Structural Descriptors

Department of Chemistry, Faculty of Science, University of Helsinki, P.O. Box 55 (A.I. Virtanens plats 1), Helsinki FIN-00014, Finland ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
People

Woman Asks Roommate to Stop Using ‘Baby Voice’ with Boyfriend Around Her: 'Gross'

The woman wonders if she crossed a line after telling her roommate she found the couple’s “baby voice” annoying DoxaDigital/Getty A woman admitted she can’t stand the baby voice her roommate and her ...
IEEE

Classification of Cognitive Load Using Deep Learning Based on Eye Movement Indices

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...