Başlık için Bilişim Sistemleri Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 75, listelenen: 51-70
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A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform
(Elsevier Ireland Ltd, 2016)Automatic classification of sleep stages is one of the most important methods used for diagnostic procedures in psychiatry and neurology. This method, which has been developed by sleep specialists, is a time-consuming and ... -
Novel active-passive compensator-supercapacitor modeling for low-voltage ride-through capability in DFIG-based wind turbines
(Springer, 2019)Low-voltage ride-through is important for the operation stability of the system in balanced- and unbalanced-grid-fault-connected doubly fed induction generator-based wind turbines. In this study, a new LVRT capability ... -
A novel approach for transportation mode detection: Combining t-SNE Manifold Learning and Support Vector Machines
(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 diagnosis system for Parkinson's disease using complex-valued artificial neural network with k-means clustering feature weighting method
(Springer, 2017)Parkinson's disease (PD) is a degenerative, central nervous system disorder. The diagnosis of PD is difficult, as there is no standard diagnostic test and a particular system that gives accurate results. Therefore, automated ... -
A novel intelligent WEB application on refrigerator systems
(Springer Science and Business Media Deutschland GmbH, 2020)In parallel with the recent development of technology, users’ interest in smart homes is increasing. Many studies have been carried out to develop smarter products having different technology readiness levels (TRL3–TRL6). ... -
A novel method for intrusion detection in computer networks by identifying multivariate outliers and ReliefF feature selection
(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 ... -
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 ...