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Toplam kayıt 32, listelenen: 21-30
A COMPARATIVE EVALUATION OF THE BOOSTING ALGORITHMS FOR NETWORK ATTACK CLASSIFICATION
(Kerim ÇETİNKAYA, 2022)
The security of information resources is an extremely critical problem. The network infrastructure that enables internet access, in particular, may be targeted by attackers from a variety of national and international ...
A novel method for intrusion detection in computer networks by identifying multivariate outliers and ReliefF feature selection
(SPRINGER LONDON LTD, 2022)
The identification of unusual data in computer networks is a critical task for intrusion detection systems. In this study, a novel approach has been proposed for improving intrusion detection system performance by finding ...
An Effective Classifier Model for Imbalanced Network Attack Data
(Tech Science Press, 2022)
Recently, machine learning algorithms have been used in the detection and classification of network attacks. The performance of the algorithms has been evaluated by using benchmark network intrusion datasets such as DARPA98, ...
Factor Model for Online Education during the COVID-19 Pandemic Using the IoT
(MDPI, 2022)
Coronavirus disease (COVID-19) has spread quickly around the globe. COVID-19 has affected the education sector due to partial or complete lockdowns that were implemented throughout the world between 2019 and 2022. This ...
Effect of Feature Selection on the Accuracy of Music Popularity Classification Using Machine Learning Algorithms
(MDPI, 2022)
This research aims to analyze the effect of feature selection on the accuracy of music popularity classification using machine learning algorithms. The data of Spotify, the most used music listening platform today, was ...
Mahalanobis uzaklığı tabanlı aykırı değer bulma ve ReliefF öznitelik seçimine dayalı bir makine öğrenmesi yaklaşımı ile akıllı telefon verileri üzerinden stres tespiti
(Pamukkale Üniversitesi, 2022)
Stress is beneficial when a person is focused, awake and alert. However, exposure to high doses of stress harms a person's health. For this reason, it is important to detect stress and begin relief as soon as possible. In ...
Monkeypox Detection Using CNN with Transfer Learning
(MDPI, 2023)
Monkeypox disease is caused by a virus that causes lesions on the skin and has been observed on the African continent in the past years. The fatal consequences caused by virus infections after the COVID pandemic have caused ...
Security-based explainable artificial intelligence (XAI) in healthcare system
(INST ENGINEERING TECH-IET, 2022)
Explainable Artificial Intelligence (XAI) is one of the most advanced research areas of Artificial Intelligence (AI). To explain the deep learning (DL) model is the main objective of XAI. It deals with artificial models ...
Real-time stress detection from smartphone sensor data using genetic algorithm-based feature subset optimization and k-nearest neighbor algorithm
(SPRINGER, 2023)
Stress is the mood of pressure and tension that a person feels. Usually, when the pressure on an individual decrease, the body begins to stabilize the state and calm down. Hence, stress detection in real-time is a critical ...
The Diagnosis of Diabetes Mellitus with Boosting Methods
(TUBITAK, 2023)
In addition to the damage, it can cause to various organs, diabetes mellitus (DM) also increases a person's risk of developing other serious health conditions. These can include heart disease, stroke, and nerve damage. ...