Dil "eng" Bilişim Sistemleri Mühendisliği Bölümü Koleksiyonu için listeleme
Toplam kayıt 59, listelenen: 21-40
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Diagnosis of transportation modes on mobile phone using logistic regression classification
(Inst Engineering Technology-Iet, 2018)The aim of this study is to detect transportation modes of people by using smartphone sensors. Therefore, a mobile application was developed for this purpose and global positioning system (GPS), accelerometer, and gyroscope ... -
Effect of Feature Selection on the Accuracy of Music Popularity Classification Using Machine Learning Algorithms
(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 ... -
An Effective Classifier Model for Imbalanced Network Attack Data
(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, ... -
An Efficient and Reliable Algorithm for Wireless Sensor Network
(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 ... -
An Efficient and Reliable Multicasting for Smart Cities
(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. ... -
An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms
(Elsevier, 2016)Sleep staging is a significant step in the diagnosis and treatment of sleep disorders. Sleep scoring is a time-consuming and difficult process. Given that sleep scoring requires expert knowledge, it is generally undertaken ... -
Factor Model for Online Education during the COVID-19 Pandemic Using the IoT
(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 ... -
A Fuzzy Multi-Criteria Decision Analysis Approach for the Evaluation of the Network Service Providers in Turkey
(Taylor & Francis Inc, 2018)Heterogeneous networks are environments where networks having different topologies and technologies can be connected. In an environment including more than one heterogeneous access network, selection of a bad network may ... -
How to adjust to organizational culture in virtual structures: The example of Turkish Organizations
(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 ... -
Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm
(Sage Publications Ltd, 2019)Background: Detecting of human movements is an important task in various areas such as healthcare, fitness and eldercare. It is now possible to achieve this aim using mobile applications. These applications provide users, ... -
Image Classification using Manifold Learning Based Non-Linear Dimensionality Reduction
(Ieee, 2018)This paper presents fast categorization or classification of images on an animal dataset using different classification algorithm in combination with manifold learning algorithms. The paper will focus on comparing the ... -
Investigation of Stator and Rotor Slits' Effects to the Torque and Efficiency of an Induction Motor
(Assoc Information Communication Technology Education & Science, 2017)Induction machines have a simple structure and are popular due to their wide range of use, however they have limited power factor and efficiency. Although the working principles of inductions machines have not changed for ... -
Investigation of the Effects of Rotor Pole Geometry and Permanent Magnet to Line Start Permanent Magnet Synchronous Motor's Efficiency
(Kaunas Univ Technology, 2009)The effects of rotor pole geometry to line start permanent magnet synchronous motor's efficiency are discussed. To achieve this goal, several LSPMSMs which have eight type rotors and 550 Watts power have been simulated and ... -
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 ... -
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 ...