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Drug target interaction prediction using artificial intelligence
(Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2021)
The aim of this research is to develop a system for drug target interaction prediction using
artificial intelligence which involves development of both machine learning and deep learningbased systems. In this paper, we ...
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 ...
Classification of brain tumors using MRI images based on convolutional neural network and supervised machine learning algorithms
(Institute of Electrical and Electronics Engineers Inc., 2022)
Brain tumor is abnormal cells that originate from cranial tissue and is considered one of the most destructive diseases, and lead to the cause of death, where the early diagnosis is crucial for accelerating the therapy of ...
A novel feature to predict buggy changes in a software system
(Springer, 2021)
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, ...
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 ...
Diagnosis of respiratory diseases for children using machine learning
(Institute of Electrical and Electronics Engineers Inc., 2022)
Respiratory diseases are among the widespread diseases that affect child in abundance around the world, and which can increase the number of child deaths due to the speed of their spread and thus exhaust the global health ...
Evaluation of postgraduate academic performance using artificial intelligence models
(Alexandria Engineering Journal, 2022)
Institutions of higher learning are currently facing the challenging task of attracting new students who can effectively meet their diverse academic demands. With these demands come the need for those institutions to develop ...
A survey on intrusion detection system in ad hoc networks based on machine learning
(IEEE, 2021)
This advanced research survey aims to perform
intrusion detection and routing in ad hoc networks in wireless
MANET networks using machine learning techniques. The
MANETs are composed of several ad-hoc nodes that ...
Botnet mobile detection using machine & deep learning techniques
(Institute of Electrical and Electronics Engineers Inc., 2022)
In this study, we discuss the most dangerous and most widespread attacks, namely botnets. We will also discuss the bot attack mechanism and introduce methods using machine learning (ML) and deep learning techniques to ...
A supervised learning algorithms for consumer product returns case study for FLO offline stores
(Springer Science and Business Media, 2022)
One of the key dimensions of customer loyalty is consumer product returns, which are critical for success and quality of services. For this reason, manufacturers and retailers need to consider operational challenges for ...
