The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

Abstract: This study established a multi-dimensional prediction framework centred on random forest and XGBoost. Firstly, baseline prediction values are generated using a theoretical model, combined ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the entire United States, marking a significant step in how the government ...

Luzerne County District Attorney Samuel Sanguedolce led a discussion on elder abuse, fraud prevention, and steps families can take to safeguard vulnerable adults at Misericordia University’s ...

Abstract: The signature base technique cannot recognize new types of Ransomware without first analyzing it. For that, we need a method to detect Ransomware using machine learning. This study aims to ...