A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Abstract: Multi-class classification is a current research area within machine learning, aimed at solving problems where input data is categorized into more than two classes. The dataset is in English ...

SHENZHEN, China, Nov. 15, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

Robin Erickson has been covering high school sports since 2023 after graduating from Carroll College with a degree in Health Sciences. He began working in data operations at High School On SI before ...

In the published article, there was a mistake in the Acknowledgments. The project number for Northern Border University support was shown as “NBU-CRP-2025-2903”. The correct statement is: “The authors ...

Multi-class network intrusion detection using CatBoost with GPU/CPU support, handling highly imbalanced datasets. Includes stratified downsampling, K-Fold cross-validation, and explainable AI with ...