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

Abstract: Brain tumor classification from MRI images plays a crucial role in early diagnosis and treatment planning. While deep learning approaches have shown promise in this domain, achieving high ...

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.

Lucas is a writer and narrative designer from Argentina with over 15 years of experience writing for games and news. He keeps a watchful eye at the gaming world and loves to write about the hottest ...

https://discord.gg/aR7pYBcqHn - The Discord Server for this program! A roblox trading bot, automates roblox's player-to-player trading system. It scrapes trading ...

Background: The Thrombolysis in Cerebral Infarction scale is the most widely used scale to evaluate reperfusion after mechanical thrombectomy (MT), defined according to the percentage of reperfusion ...

Abstract: In this paper we present a new fuzzy classification method based on support vector machine (SVM) to treat multi-class problems. Generally, SVMs classifiers are designed to solve binary ...

Cybersecurity researchers have discovered two malicious packages in the Python Package Index (PyPI) repository that masquerade as spellcheckers but contain functionality to deliver a remote access ...