Chromatography Online

Optimizing HSSE-GC-MS and Machine Learning for Forensic Gender Classification from Human Scent

Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...
News-Medical.Net

New computational method links individual cells to patient outcomes

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...
Analytics Insight

10 Must-Know Machine Learning Algorithms for Data Science in 2026

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...
Analytics Insight

What are the Best Books on Data Science?

Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
IEEE

Fault Diagnosis and Prediction of Electric Vehicle Drive using Support Vector Machine Algorithm

Preventive identification of Electric Vehicle (EV) drive faults always play a vital role in machine condition monitoring. Further, Machine Learning (ML) algorithms are becoming essential for ensuring ...
IEEE

A Comparative Study using Random Forests and SVM Models for Machine Learning Techniques to Predict Heart Disease Accurately

Abstract: This paper analyzes the possible use of machine learning (ML) algorithms for early detection and prevention of cardiovascular disease (CVD) which is one of the leading global health concerns ...