Security Boulevard

There’s Always Something: Secrets Detection at Engagement Scale with Titus

TL;DR: Titus is an open source secret scanner from Praetorian that detects and validates leaked credentials across source code, binary files, and HTTP traffic. It ships with 450+ detection rules and ...
IEEE

Towards Wheat Rust Disease Classification using Different Machine Learning Approaches: A Systematic Literature Review

Abstract: This systematic literature review explores various machine learning (ML) approaches for the classification of wheat rust diseases, a significant threat to global food security. With the ...
EurekAlert!

Attention detection using EEG signals and machine learning: A review

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...
Scientific Research Publishing

Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()

Laboratoire de Matériaux et Environnement (LAME), Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso. In recent decades, the impact of climate change on natural resources has increased. However, ...
IEEE

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
GitHub

Dristi-b/Rust-Detection-using-Texture-and-Color-Features-using-multimodal-data

The emergence of plant rust has proven to be a serious threat to agricultural yields. The identification of plant diseases is tradition ally done through visual inspection that often lead to delays ...