Yazar "Ballı, Serkan" için Bilişim Sistemleri Mühendisliği Bölümü Koleksiyonu listeleme
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AkıllıTelefon Üzerinden AkıllıSaat Destekli Düşme Tespit Sistemi Tasarımı
Ballı, Serkan; Sağbas, Ensar Arif; Korukoğlu, Serdar (Institute of Electrical and Electronics Engineers Inc., 2018)Falling is an important health risk, especially for the elderly people. This situation prevents individuals from living independently. Automatic and high accuracy detection of the falls will contribute in preventing the ... -
Classification Turkish SMS with Deep Learning Tool Word2Vec
Karasoy, Onur; Ballı, Serkan (Ieee, 2017)In this study, it was aimed to develop SMS (Short Message) classification application based on deep learning. By examining messages collected from different age groups and regions, feature labels that could be effective ... -
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 ... -
A data mining approach to the diagnosis of failure modes for two serial fastened sandwich composite plates
Ballı, Serkan (Sage Publications Ltd, 2017)The aim of this study is to diagnose and classify the failure modes for two serial fastened sandwich composite plates using data mining techniques. The composite material used in the study was manufactured using glass fiber ... -
Development of a fuzzy decision support framework for complex multi-attribute decision problems: A case study for the selection of skilful basketball players
Ballı, Serkan; Korukoglu, Serdar (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 ... -
Development of content-based SMS classification application by using Word2Vec-based feature extraction
Ballı, Serkan; Karasoy, Onur (Institution of Engineering and Technology, 2019)While mobile instant messaging applications such as WhatsApp, Messenger, Viber offer benefits to phone users such as price, easy usage, stable, collective and direct communication, SMS (short message service) is still ... -
Diagnosis of transportation modes on mobile phone using logistic regression classification
Ballı, Serkan; Sağbaş, Ensar Arif (Inst Engineering Technology-Iet, 2018)The aim of this study is to detect transportation modes of people by using smartphone sensors. Therefore, a mobile application was developed for this purpose and global positioning system (GPS), accelerometer, and gyroscope ... -
A Fuzzy Multi-Criteria Decision Analysis Approach for the Evaluation of the Network Service Providers in Turkey
Ballı, Serkan; Tüker, Mustafa (Taylor & Francis Inc, 2018)Heterogeneous networks are environments where networks having different topologies and technologies can be connected. In an environment including more than one heterogeneous access network, selection of a bad network may ... -
Hareket Sensörleri Uzerinden Oylama Yöntemi ile Aktivite Tespiti
Sağbaş, Ensar Arif; Ballı, Serkan (Institute of Electrical and Electronics Engineers Inc., 2017)Classification of daily human movements using wearable sensor technology is among the current research topics, especially healthcare. In this study, eight different daily human movements (writing, walking, running, tooth ... -
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 mobile solution based on soft computing for fall detection
Ballı, Serkan; Sağbaş, Ensar Arif; Peker, Musa (Springer Science and Business Media Deutschland GmbH, 2019)Falling is an important health risk, especially for the elderly people. This situation prevents individuals from living independently. Automatic and high-accuracy detection of the falls will contribute in preventing the ... -
A novel approach for transportation mode detection: Combining t-SNE Manifold Learning and Support Vector Machines
Sağbaş, Ensar Arif; Peker, Musa; Ballı, Serkan (Ieee, 2017)The aim of this study is to detect transportation modes by using smart phone sensor data. The data are obtained from the GPS, accelerometer and gyroscope sensors of the smartphone. The collected data is divided into 10 ... -
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 ... -
Performance evaluation of machine learning algorithms for detecting abnormal data traffic in computer networks
Uzun, Birnur; Ballı, Serkan (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 ... -
Real-time stress detection from smartphone sensor data using genetic algorithm-based feature subset optimization and k-nearest neighbor algorithm
Sağbaş, Ensar Arif; Korukoğlu, Serdar; Ballı, Serkan (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 ... -
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. ... -
Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques
Sagbas, Ensar Arif; Korukoglu, Serdar; Ballı, Serkan (Springer, 2020)Stress is one of the biggest problems in modern society. It may not be possible for people to perceive if they are under high stress or not. It is important to detect stress early and unobtrusively. In this context, stress ... -
TÜRKİYE ERKEKLER BASKETBOL LİGİ MAÇ SONUÇLARININ MAKİNE ÖĞRENMESİ YÖNTEMLERİ İLE TAHMİNİ
Özdemir, Engin; Ballı, Serkan (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 ...