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Toplam kayıt 20, listelenen: 11-20
TÜRKİYE ERKEKLER BASKETBOL LİGİ MAÇ SONUÇLARININ MAKİNE ÖĞRENMESİ YÖNTEMLERİ İLE TAHMİNİ
(Süleyman Demirel Üniversitesi, 2020)
Basketbol maçları dünyada en çok izlenen spor aktivitelerinden birisidir. Bu popülerlik sonucunda basketbol sporunda bilgi teknolojileri sık sık kullanılmaktadır. İstatistik ve veri depolama sistemlerinin gelişmesiyle maç ...
Performance evaluation of machine learning algorithms for detecting abnormal data traffic in computer networks
(Institute of Electrical and Electronics Engineers Inc., 2020)
Detection and classification of abnormal data in computer network traffic is a very important cyber-security problem. In this study, the aim is to determine the methods with a high rate of success in classifying the data ...
Data analysis of Covid-19 pandemic and short-term cumulative case forecasting using machine learning time series methods
(Elsevier Science, 2021)
The Covid-19 pandemic is the most important health disaster that has surrounded the world for the past eight months. There is no clear date yet on when it will end. As of 18 September 2020, more than 31 million people have ...
Performance evaluation of artificial neural networks for identification of failure modes in composite plates
(Walter de Gruyter GmbH, 2021)
The aim of this work is to identify failure modes of double pinned sandwich composite plates by using artificial neural networks learning algorithms and then analyze their accuracies for identification. Mechanically pinned ...
Development of a fuzzy decision support framework for complex multi-attribute decision problems: A case study for the selection of skilful basketball players
(Wiley, 2014)
The selection of skilful players is a complicated process due to the problem criteria consisting of both qualitative and quantitative
attributes as well as vague linguistic terms. This study seeks to develop a decision ...
Spam SMS Detection for Turkish Language with Deep Text Analysis and Deep Learning Methods
(Springer Science and Business Media Deutschland GmbH, 2021)
With the increasing number of mobile users day by day, the security of mobile phones is an important issue. SMS service available as standard in all users; advertising makes it a preferred method of promotion agencies. ...
Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm
(Sage Publications Ltd, 2019)
Background: Detecting of human movements is an important task in various areas such as healthcare, fitness and eldercare. It is now possible to achieve this aim using mobile applications. These applications provide users, ...
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 ...
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 ...
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 ...