Background and Objectives: Recently, many studies have focused on the early detection of Parkinson’s disease (PD). This disease belongs to a group of neurological problems that immediately affect brain cells and influence ...

Researchers have successfully implemented machine learning classifiers to predict bugs in a change file for years. Change classification focuses on determining if a new software change is clean or buggy. In the literature, ...

Brain computer interface studies required recording of a physiological response of a subject to exhibit relevant information. This extracted information can be used to perform an action and the amount of the information plays ...

In this study, new software cost estimation approach presented by using machine learning techniques based feature selection method. The proposed method consists from two stages, the feature selection stage which factor ...

The aim of this thesis is to develop a new approach for The Statistical Learning Methods in image processing and Facial Recognition using the deep learning techniques in python. In the recent years there have been ...

Sosyal medyanın artan kullanımıyla birlikte, yaygın nefret söylemi oranı çarpıcı bir şekilde arttı ve bu da dünyada şiddetin artmasına neden oldu , bu nedenle araştırmacılarını rkçı içeriği keşfetme çabalarını artırması ...

It is known that cardiologists can accurately predict 80% of heart disease, but the missing 20% is where AI can help, the problem of achieving high accuracy is one of the challenges that are facing any developer in the ...

In this study, feature selection methods based on the new Caledonian crow learning algorithm has been introduced. In the proposed algorithms, in the frst stage, the best features related to COVID-19 disease are selected ...

Recently, the variety and size of malware on the social networks has increased dramatically, bearing phrases and headings aimed at attracting attention and pushing them to enter the link that contains malicious software, ...

In this work we use a reliable database, properly classified and in enough classes to obtain a classification model based on machine learning., there is a public database generated by network traffic flows from different ...