Bölüm "MÜ, Teknoloji Fakültesi, Bilişim Sistemleri Mühendisliği Bölümü" Bilişim Sistemleri Mühendisliği Bölümü Koleksiyonu için listeleme
Toplam kayıt 70, listelenen: 41-60
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Lifetime Optimization of the LEACH Protocol in WSNs with Simulated Annealing Algorithm
(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 ... -
Mahalanobis uzaklığı tabanlı aykırı değer bulma ve ReliefF öznitelik seçimine dayalı bir makine öğrenmesi yaklaşımı ile akıllı telefon verileri üzerinden stres tespiti
(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 ... -
Man Overboard Detection System Using IoT for Navigation Model
(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 ... -
A Medical Decision Support System Based on Ensemble of Complex-Valued Radial Basis Function Networks
(Igi Global, 2018)The use of machine learning techniques for medical diagnosis has become increasingly common in recent years because, most importantly, the computer-aided diagnostic systems developed for supporting the experts have provided ... -
A mobile solution based on soft computing for fall detection
(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 ... -
Monkeypox Detection Using CNN with Transfer Learning
(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 ... -
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 ...