Machine learning beats classical method in predicting cosmic ray radiation near Earth

Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic ...
IEEE

Machine Learning–Based Hypertension Risk Stratification Using Logistic Regression and XGBoost

Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...
GitHub

machine-learning-security

Inspired by dynamic taint tracking, PoisonSpot uses fine-grained training provenance tracker that: (1) tags & traces the impact of every single training sample on model updates, (2) probabilistically ...
IEEE

AI-Driven Urine Analysis for Non-Invasive Kidney Stone Detection: A Machine Learning Approach

Abstract: The urological problem of kidney stones becomes a serious health concern when left untreated that may lead to unbearable pain and important medical complications. Patients often face two ...