Automatic peculiarities detection in PhenoScreen information system

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...

MSAS: An M-mental health care System for Automatic Stress detection

Bayes Networks and Fault Tree Analysis Application in Reliability Estimation (Case Study: Automatic Water Sprinkler System)

In this study, the application of Bayes networks and fault tree analysis in reliability estimation have been investigated. Fault tree analysis is one of the most widely used methods for estimating reliability. In recent years, a method called "Bayes Network" has been used, which is a dynamic method, and information about the probable failure of the system components will be updated according to...

Adaptive Multi-National License Plate Extraction

The paper represents the automatic plate localization component of a multi-national Car License Plate Recognition (CLPR) system. The approach includes stages of preprocessing, edge detection, filtering, detection of plate’s position, slope evaluation, character segmentation and recognition. Single frame gray-level images are used as the only source of information. In the experiments Israeli and...

Designing and implementing a system for Automatic recognition of Persian letters by Lip-reading using image processing methods

For many years, speech has been the most natural and efficient means of information exchange for human beings. With the advancement of technology and the prevalence of computer usage, the design and production of speech recognition systems have been considered by researchers. Among this, lip-reading techniques encountered with many challenges for speech recognition, that one of the challenges b...