Başlık için Bilişim Sistemleri Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 75, listelenen: 57-75
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Optimization in Wideband Code-Division Multiple Access Systems with Genetic Algorithm-Based Discrete Frequency Planning
(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 ... -
Optimization of thermodynamic performance with simulated annealing algorithm: A geothermal power plant
(Elsevier Ltd, 2021)Binary geothermal power plants (GPP) always attract researchers’ attention as they are renewable-energy operated, low-temperature, high-performance, environmentally-friendly, and baseload power plants. In addition, they ... -
Öğrencilerin Sınıf içi Duygusal Durumlarının Gerçek Zamanlı Tespit Edilmesi
(Institute of Electrical and Electronics Engineers Inc., 2017)Today, as social media sharing increases, the instant emotional state of the students changes frequently. This situation is greatly affecting the learning process as well as the motivation of the students in the classroom. ... -
Performance Comparision of Internal and External Rotor Structured Wind Generators Mounted from Same Permanent Magnets on Same Geometry
(Kaunas Univ Technology, 2009)In this study, internal and external rotor radial-flux machine constructions built With surface mounted by applying the same NdFeB were compared according to torque density, vigorous material weight, outer radius, total ... -
Performance evaluation of artificial neural networks for identification of failure modes in composite plates
(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
(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 ... -
Prediction of traumatic pathology by classifying thorax trauma using a hybrid method for emergency services
(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
(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
(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
(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
(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
(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 ... -
Spam SMS Detection for Turkish Language with Deep Text Analysis and Deep Learning Methods
(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
(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
(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
(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
(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
(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
(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 ...
