University of Birmingham

Machine‑learning framework could transform prediction of drug side effects

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
Devdiscourse

Measuring Venezuela’s Economy from Space Using Satellites and Machine Learning

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Hosted on MSN

Tottenham have just enquired about all-action pressing machine – decision imminent

Tottenham Hotspur may have already signed Conor Gallagher in the January transfer window, but Thomas Frank’s side are now actively trying to bring in a Bayern Munich midfielder, too, according to a ...
IEEE

Hybrid Tree-Based Machine Learning Models for State-of-Charge and Core Temperature Estimation in EV Batteries

Abstract: Accurate estimation of State-of-Charge (SoC) and core temperature is fundamental to optimizing the performance, safety, and longevity of Lithium-Ion Batteries (LiBs), particularly in ...
IEEE

Comparative Analysis of Anxiety Disorder Classification Using Algorithm Naïve Bayes, Decision Tree and K-NN

Abstract: This study aims to classify anxiety disorders in adolescents using three machine learning algorithms, namely naive bayes, C4.5, and K-Nearest Neighbor (K-NN). The data used was taken from ...