Başlık için Bilişim Sistemleri Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 75, listelenen: 21-40
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Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network
(Springer, 2015)The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal processing methods up to date. Those standard models have used the full spectrum of EEG signals together with the systolic-diastolic ... -
Development of a fuzzy decision support framework for complex multi-attribute decision problems: A case study for the selection of skilful basketball players
(Wiley, 2014)The selection of skilful players is a complicated process due to the problem criteria consisting of both qualitative and quantitative attributes as well as vague linguistic terms. This study seeks to develop a decision ... -
Development of a Smart Signalization for Emergency Vehicles
(MDPI, 2023)As the population increases, the number of motorized vehicles on the roads also increases. As the number of vehicles increases, traffic congestion occurs. Traffic lights are used at road junctions, intersections, pedestrian ... -
Development of content-based SMS classification application by using Word2Vec-based feature extraction
(Institution of Engineering and Technology, 2019)While mobile instant messaging applications such as WhatsApp, Messenger, Viber offer benefits to phone users such as price, easy usage, stable, collective and direct communication, SMS (short message service) is still ... -
Development of PID based control strategy in maximum exergy efficiency of a geothermal power plant
(Elsevier, 2021)The control strategy insures the efficiency, increased production and safety in new and complicated energy conversion systems. To this end, a thermodynamic model that simulates a real geothermal power plant is developed, ... -
The Diagnosis of Diabetes Mellitus with Boosting Methods
(TUBITAK, 2023)In addition to the damage, it can cause to various organs, diabetes mellitus (DM) also increases a person's risk of developing other serious health conditions. These can include heart disease, stroke, and nerve damage. ... -
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 ... -
Hareket Sensörleri Uzerinden Oylama Yöntemi ile Aktivite Tespiti
(Institute of Electrical and Electronics Engineers Inc., 2017)Classification of daily human movements using wearable sensor technology is among the current research topics, especially healthcare. In this study, eight different daily human movements (writing, walking, running, tooth ... -
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, ... -
IEEE 802.15.4 / ZigBee Based Wireless Sensor Network Design for Monitoring Server Rooms
(Ieee, 2017)it is expected that server rooms equipped with expensive and complex devices must be reliable and stable. However, excessive environmental factors such as temperature and humidity can cause very serious effects on the ... -
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 ...