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Network intrusion detection using machine learning techniques
(Altınbaş Üniversitesi, 2018)
Recently, it has become important to use advanced intrusion detection techniques to protect networks from the developing network attacks, which are becoming more complex and difficult to detect. For this reason, machine ...
Hybrid feature selection framework for the parkinson imbalanced dataset prediction problem
(MDPI, 2021)
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 ...
Diagnosing cervical cancer using machine learning methods
(Institute of Electrical and Electronics Engineers Inc., 2022)
Pre-diagnosis of any kind of cancer type has critical impact on person's life. According to World Health Organization Cervical cancer is still one of the most common gynecologic cancers in the world that affects women life. ...
Diagnosing coronary artery disease on the basis of hard ensemble voting optimization
(2022)
Background and Objectives: Recently, many studies have focused on the early diagnosis of coronary artery disease (CAD), which is one of the leading causes of cardiac-associated death worldwide. The effectiveness of the ...
