Yazar "MÜ, Teknoloji Fakültesi, Bilişim Sistemleri Mühendisliği Bölümü" için Teknoloji Fakültesi listeleme
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Prediction of traumatic pathology by classifying thorax trauma using a hybrid method for emergency services
Karacı, Abdülkadir; Özkaraca, Osman; Acar, Ethem; Demir, Ahmet (Institution of Engineering and Technology, 2021)In recent years, data mining and algorithm-based methods have been used frequently for the prediction and diagnosis of various diseases. Traumas, being one of the significant health problems in the world, are also one of ... -
Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks
Peker, Musa; Sen, Baha; Gürüler, Hüseyin (Springer, 2015)The effect of anesthesia on the patient is referred to as depth of anesthesia. Rapid classification of appropriate depth level of anesthesia is a matter of great importance in surgical operations. Similarly, accelerating ... -
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 ... -
Sizing of electrical motors for gearless and directly stimulating applications
Tarımer, İlhan; Gurbuz, R. (Kaunas Univ Technology, 2008)Electrical machines are usually designed and produced to work at high circulation. The machines that are designed to work at high circulation are used along with reductors to be operated at low speed mechanisms to acquire ... -
Soft computing model on genetic diversity and pathotype differentiation of pathogens: A novel approach
Gürüler, Hüseyin; Peker, Musa; Baysal, Ömür (Univ Catolica de Valparaiso, 2015)Background: Identifying and validating biomarkers' scores of polymorphic bands are important for studies related to the molecular diversity of pathogens. Although these validations provide more relevant results, the ... -
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 ... -
TAVLAMA BENZETİMİ ALGORİTMASI İLE GENİŞ ÖLÇEKLİ KABLOSUZ ALGILAYICI AĞLARDA LEACH PROTOKOLÜNÜN OPTİMİZASYONU
Gülbaş, Gülşah; Çetin, Gürcan (Süleyman Demirel Üniversitesi, 2020)Kablosuz Algılayıcı Ağ (KAA) yapılarında kullanılan algılayıcı düğümler enerji, hız ve bellek kullanımı açısından sınırlı kapasiteye sahiptirler. Bu sınırlı kapasite KAA’larda her bir veri gönderim çevriminde azalmakta ve ... -
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 ... -
USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS
Ayvaz, Uğur; Gürüler, Hüseyin; Devrim, Mehmet Osman (Natl Acad Pedagogical Sciences Ukraine, Inst Info Technol & Learning Tools, 2017)Since the personal computer usage and internet bandwidth are increasing, e-learning systems are also widely spreading. Although e-learning has some advantages in terms of information accessibility, time and place flexibility ... -
Use of Orange Data Mining Toolbox for Data Analysis in Clinical Decision Making: The Diagnosis of Diabetes Disease
Peker, Musa; Özkaraca, Osman; Şaşar, Ali (Igi Global, 2018)Diabetes is a life-long illness which occurs as a result of lack of insulin hormone or ineffectiveness of insulin hormone. Blood sugar, fructosamine, and hemoglobin A1c (HbA1c) values are widely used for diagnosis of this ... -
Using artificial intelligence for modeling of the realistic animal behaviors in a virtual island
Turan, Ertan; Çetin, Gürcan (Elsevier, 2019)The remarkable development of the computer graphic techniques enables the creation and management of more realistic games and virtual environments. However, placing the Artificial Intelligence (AI) in a virtual world get ...