IEEE

Epileptic Seizure Detection in Rodent iEEG using Machine Learning: A Comparative Study of Random Forest, SVM, and Gradient Boosting Models

Abstract: Epilepsy is a neurological condition because seizures occur at random and thus patients require automated and accurate detection mechanisms. The study design employs an evaluation of ...
IEEE

Using Random Forests for Efficient Identification of Decoys Under Link Flooding Attacks in SDNs

Abstract: Software-defined networks (SDNs) face significant challenges from link flooding attacks (LFAs), where malicious bots flood towards a limited number of hidden hosts, known as decoys, at a low ...
Wall Street Journal

U.S. Strikes in Middle East Use Anthropic, Hours After Trump Ban

Within hours of declaring that the federal government will end its use of artificial-intelligence tools made by tech company Anthropic, President Trump launched a major air attack in Iran with the ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...