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Toplam kayıt 49, listelenen: 41-49
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 ...
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 ...
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. ...
Development of a Smart Signalization for Emergency Vehicles
(MDPI, 2023)
As the population increases, the number of motorized vehicles on the roads also increases. As the number of vehicles increases, traffic congestion occurs. Traffic lights are used at road junctions, intersections, pedestrian ...
Lifetime Optimization of the LEACH Protocol in WSNs with Simulated Annealing Algorithm
(Springer, 2023)
The lifetime of a Wireless Sensor Network (WSN) is determined by its energy restriction. One of the conventional techniques used to maintain network connectivity is the utilization of the LEACH routing protocol. LEACH is ...