Suicidal Tendency Detection Using Machine Learning

[Evaluation of suicidal tendency].

Using Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media

Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...

Patellar Ligament Tear Detection using Machine Learning

In this paper we show a method for identifying ligament tears in MRI scans. We present a new algorithm that builds a spatial pyramid over the tendon invariant to scale and orientation changes of the tendon. We analyze the performance of both LLC encoded texton features and Intensity histograms for building extracting features from the pyramid regions. Figure 1. A cropped MRI of a damaged Patell...

DGA Detection Using Machine Learning Methods

A botnet is a network of private computers infected with malicious software and controlled as a group without the knowledge of the owners. Botnets are used by cyber criminals for various malicious activities such as stealing sensitive data, sending spam, launching Distributed Denial of Service (DDoS) attacks, etc. A Command and Control (C&C) server sends commands to the compromised hosts for ex...

Fault Detection of Anti-friction Bearing using Ensemble Machine Learning Methods

Anti-Friction Bearing (AFB) is a very important machine component and its unscheduled failure leads to cause of malfunction in wide range of rotating machinery which results in unexpected downtime and economic loss. In this paper, ensemble machine learning techniques are demonstrated for the detection of different AFB faults. Initially, statistical features were extracted from temporal vibratio...