Yazar "0000-0002-4825-139X" için Bilişim Sistemleri Mühendisliği Bölümü Koleksiyonu listeleme
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Data analysis of Covid-19 pandemic and short-term cumulative case forecasting using machine learning time series methods
Ballı, Serkan (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 ... -
Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm
Ballı, Serkan; Sağbaş, Ensar Arif; Peker, Musa (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, ... -
Mahalanobis uzaklığı tabanlı aykırı değer bulma ve ReliefF öznitelik seçimine dayalı bir makine öğrenmesi yaklaşımı ile akıllı telefon verileri üzerinden stres tespiti
Sağbaş, Ensar Arif; Korukoğlu, Serdar; Ballı, Serkan (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 ... -
A novel method for intrusion detection in computer networks by identifying multivariate outliers and ReliefF feature selection
Ballı, Serkan; Uzun, Birnur (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 ... -
Performance evaluation of artificial neural networks for identification of failure modes in composite plates
Ballı, Serkan; Şen, Faruk (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 ... -
Spam SMS Detection for Turkish Language with Deep Text Analysis and Deep Learning Methods
Karasoy, Onur; Ballı, Serkan (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. ...