• Lifetime Optimization of the LEACH Protocol in WSNs with Simulated Annealing Algorithm 

  Gülbaş, Gülşah; Çetin, Gürcan (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 ...

• The Diagnosis of Diabetes Mellitus with Boosting Methods 

  Koçak, Hilal; Çetin, Gürcan (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 

  Siddiqi, Muhammad Hameed; Alruwaili, Madallah; Tarımer, İlhan; Karadağ, Buse Cennet; Alhwaiti, Yousef (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 ...

• 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 ...

• Security-based explainable artificial intelligence (XAI) in healthcare system 

  Gürüler, Hüseyin; Islam, Naveed; Din, Alloud (INST ENGINEERING TECH-IET, 2022)

  Explainable Artificial Intelligence (XAI) is one of the most advanced research areas of Artificial Intelligence (AI). To explain the deep learning (DL) model is the main objective of XAI. It deals with artificial models ...

• Monkeypox Detection Using CNN with Transfer Learning 

  Altun, Murat; Gürüler, Hüseyin; Özkaraca, Osman; Khan, Faheem; Khan, Jawad; Lee, Youngmoon (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 ...

• Effect of Feature Selection on the Accuracy of Music Popularity Classification Using Machine Learning Algorithms 

  Khan, Faheem; Tarımer, İlhan; Alwageed, Hathal Salamah; Karadağ, Buse Cennet; Fayaz, Muhammad (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 ...

• Factor Model for Online Education during the COVID-19 Pandemic Using the IoT 

  Khan, Faheem; Tarımer, İlhan; Taekeun, Whangbo (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 ...

• An Effective Classifier Model for Imbalanced Network Attack Data 

  Çetin, Gürcan (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, ...

• 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 COMPARATIVE EVALUATION OF THE BOOSTING ALGORITHMS FOR NETWORK ATTACK CLASSIFICATION 

  Coşkun, Koraty; Çetin, Gürcan (Kerim ÇETİNKAYA, 2022)

  The security of information resources is an extremely critical problem. The network infrastructure that enables internet access, in particular, may be targeted by attackers from a variety of national and international ...

• 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 ...

• An Efficient and Reliable Multicasting for Smart Cities 

  Khan, Faheem; Zahid, Muhammed; Gürüler, Hüseyin; Tarımer, İlhan; Whangbo, Taegkeun (TECH SCIENCE PRESS, 2022)

  The Internet of thing (IoT) is a growing concept for smart cities, and it is compulsory to communicate data between different networks and devices. In the IoT, communication should be rapid with less delay and overhead. ...

• Man Overboard Detection System Using IoT for Navigation Model 

  Gürüler, Hüseyin; Altun, Murat; Khan, Faheem; Whangbo, Taegkeun (Tech Science Press, 2022)

  Security measures and contingency plans have been established in order to ensure human safety especially in the floating elements like ferry, roro, catamaran, frigate, yacht that are the vehicles services for the purpose ...

• Automatic Speaker Recognition Using Mel-Frequency Cepstral Coefficients Through Machine Learning 

  Ayvaz, Uğur; Gürüler, Hüseyin; Khan, Faheem; Ahmed, Naveed; Whangbo, Taegkeun (Tech Science Press, 2022)

  Automatic speaker recognition (ASR) systems are the field of Human-machine interaction and scientists have been using feature extraction and feature matching methods to analyze and synthesize these signals. One of the most ...

• An Efficient and Reliable Algorithm for Wireless Sensor Network 

  Khan, Faheem; Ahmad, Shabir; Gürüler, Hüseyin; Çetin, Gürcan; Whangbo, Taegkeun; Kim, Cheong-Ghil (Multidisciplinary Digital Publishing Institute (MDPI), 2021)

  In wireless sensor networks (WSN), flooding increases the reliability in terms of successful transmission of a packet with higher overhead. The flooding consumes the resources of the network quickly, especially in sensor ...

• 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. ...

• How to adjust to organizational culture in virtual structures: The example of Turkish Organizations 

  Flieger, Marcin; Flieger, Michal; Tarımer, İlhan (IBIMA Publishing, 2021)

  The main scientific purpose of the article is to present a pattern for creating mechanisms that allow members of virtual structures to adjust to the organizational-culture-conditioned ways other partners operate. Conceptual ...

• A Deep Learning-Based IoT Implementation for Detection of Patients’ Falls in Hospitals 

  Koçak, Hilal; Çetin, Gürcan (Springer, 2021)

  Falls in hospitalized patients are a major problem for patient safety. Accidental falls are one of the most common incidents reported in hospitals. Thanks to the advances in technology, smart solutions can be developed for ...

• Optimization in Wideband Code-Division Multiple Access Systems with Genetic Algorithm-Based Discrete Frequency Planning 

  Aksoy, Sencer; Özkaraca, Osman (Springer, 2021)

  One of the most serious problems is how the limited number of requencies (carriers) allocated to operators in broadband code division multiple access systems can be distributed to the base station cells in a way that ...

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