Kurum Yazarı "Ballı, Serkan" Teknoloji Fakültesi İçin 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 ... -
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 ... -
Evaluation of wind loads and the potential of Turkey's south west region by using log-normal and gamma distributions
Özkan, Ramazan; Şen, Faruk; Ballı, Serkan (Techno-Press, 2020)In this study, wind data such as speeds, loads and potential of Mugla which is located in the southwest of Turkey were statistically analyzed. The wind data which consists of hourly wind speed between 2010 and 2013 years, ... -
Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods
Şahin, Utkucan; Ballı, Serkan; Chen, Yan (Elsevier Ltd, 2021)Balances in the energy sector have changed since the implementation of the Covid-19 pandemic lockdown in Europe. This paper analyses how the lockdown affected electricity generation in European countries and how it will ... -
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 ... -
Multi-criteria usability evaluation of symmetric data encryption algorithms in fuzzy environment
Ballı, Serkan; Yılmaz, Menduh (Springer International Publishing Ag, 2020)Effective use of parameters such as time, resources, and energy is a crucial subject in daily life. These parameters directly influence the selection strategy in decision-making problems. While using encryption algorithms, ... -
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 prediction of EuroLeague game results using hybrid feature extraction and machine learning techniques
Ballı, Serkan; Özdemir, Engin (Elsevier Ltd, 2021)Basketball competitions are among the most watched sports activities in the world. With the developing technology, statistics of the games and players of basketball can be stored more easily, so artificial intelligence ... -
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 ... -
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 ...