MACHINE LEARNING TECHNIQUES APPLIED IN SURFACE EMG DETECTION- A SYSTEMATIC REVIEW

A Review of Machine Learning based Anomaly Detection Techniques

Intrusion detection is so much popular since the last two decades where intrusion is attempted to break into or misuse the system. It is mainly of two types based on the intrusions, first is Misuse or signature based detection and the other is Anomaly detection. In this paper Machine learning based methods which are one of the types of Anomaly detection techniques is discussed.

A Review on Malware Detection Schemes Using Machine Learning Techniques

Malware is a one type of software which can harm the computer’s operating system and it may also steal the personal information from the computer. Malware can be made by using any programming language by the programmer. It is very difficult to define a malware with a single term or a single name. A malware can be considered as a malicious software or malcode or it is also known as a malicious c...

Emotion Detection in Persian Text; A Machine Learning Model

This study aimed to develop a computational model for recognition of emotion in Persian text as a supervised machine learning problem. We considered Pluthchik emotion model as supervised learning criteria and Support Vector Machine (SVM) as baseline classifier. We also used NRC lexicon and contextual features as training data and components of the model. One hundred selected texts including pol...

Machine Learning techniques for applied Information Extraction

Review. Machine learning techniques for traffic sign detection

An automatic road sign detection system localizes road signs from within images captured by an on-board camera of a vehicle, and support the driver to properly ride the vehicle. Most existing algorithms include a preprocessing step, feature extraction and detection step. This paper arranges the methods applied to road sign detection into two groups: general machine learning, neural networks. In...