All studies were found to have a high risk of bias, mainly due to a lack of uniform variable definitions, outcome definitions and follow-up periods, insufficient sample sizes, and inadequate handling ...

Abstract: Much research aims to enhance weapon detection by applying different techniques to object detection models. However, little research focuses on identifying armed people through real-time ...

By implementing forward feature selection, four ML classifiers were used to determine the maximum classification accuracy and the corresponding features: support vector machine (SVM), linear ...