SecurityWeek

AI Fuels ‘Industrial’ Cybercrime as Time-to-Exploit Shrinks to Hours

Industrialized cybercrime delivers attacks with greater scale, speed and success. Defenders must match this with use of AI ...
Journal of Medical Internet Research

Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...
IEEE

Machine Learning Approaches to Cross-National Crime Rate Prediction: a Meta-Analysis of Male and Female Delinquency

Abstract: Criminal behaviors are considered deviant for both men and women, and juveniles and adults. Men commit a disproportionate number of crimes, leading to higher rates of arrest and ...
IEEE

Predicting Crime Types and Occurrences Using Machine Learning Algorithms

Abstract: This study aims to analyze crime data from the Kaggle platform to identify the main crime categories and explore the impact of geographical and temporal factors, such as location and time, ...