Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
CBSSports.com

NFL player props, odds and bets: Week 1, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP

The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league's biggest stars. From the 13 games on ...
CBSSports.com

Cowboys vs. Eagles props, odds, SportsLine Machine Learning Model AI predictions, NFL Kickoff Game SGP picks

The 2025 NFL season kicks off tonight with a key NFC East matchup between the Dallas Cowboys and the defending Super Bowl champion Philadelphia Eagles (-8, 47.5). Since 2010, Dallas and Philadelphia ...
GitHub

clustering-python

An end-to-end machine learning project to predict Autism Spectrum Disorder (ASD) risk in adults. Features a full ETL pipeline, comparative analysis of unsupervised & supervised models, and a final ...
Gehost op MSN

Sleep Classification with Python – EEG, Sklearn and MNE – Part 1

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!
C&EN

Cluster-Based Machine Learning Potentials to Describe Disordered Metal–Organic Frameworks up to the Mesoscale

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. To achieve our goal, we introduce the chemical environment of ...
IEEE

DNA Sequence Classification using Machine Learning

Abstract: This work presents a novel approach to enhancing the accuracy and efficacy of DNA sequence categorization through the use of Machine Learning algorithms. The proposed DNA Sequencing ...
IEEE

Research on Tobacco Leaf Color Classification Based on Machine Learning

Abstract: Objective: This study explores the application of machine learning algorithms in tobacco leaf color classification to improve classification accuracy.Methods: Images of tobacco leaves of ...
BizTech

What Are the Benefits of Unsupervised Machine Learning and Clustering?

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
ascopubs.org

Machine learning–based classification of cancer types using genomic profiling data from the Australian Molecular Screening and Therapeutics (MoST) program.

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
Frontiers

Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review

Department of Preventive Medicine, College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China Background: Effective connectivity (EC) refers to the ...