Tür "conferenceObject" Bilgisayar Mühendisliği Bölümü Koleksiyonu için listeleme
Toplam kayıt 49, listelenen: 1-20
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Ambient Energy Harvesting for Low Powered Wireless Sensor Network based Smart Grid Applications
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)Limited battery lifetime is one of the most critical issues for wireless sensor networks (WSNs)-based smart grid (SG) applications. Recently, ambient energy harvesting (AEH) has been considered to significantly improve the ... -
Analysis of Battery-Powered Sensor Node Lifetime for Smart Grid Applications
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2016)Wireless Sensor Networks (WSNs) enable smart grids where sensor nodes monitor and control the important parameters of power grid components. However, energy-aware communication protocols should be developed to extend network ... -
Assessing Employee Attrition Using Classifications Algorithms
(Association for Computing Machinery, 2020)Employees leave an organization when other organizations offer better opportunities than their current organizations. Continuity and sustenance and even completion of jobs are crucial issues for the companies not to suffer ... -
Blockchain Based User Management System
(IEEE, 2020)—Blokzinciri, çeşitli kriptografi teknikleri kullanılarak birbirine bağlanmış bloklar içerisinde bulunan verilerin, ağ üzerinde diğer noktalara dağıtılmasıyla oluşturulan güvenilir ve şeffaf bir yapıdır. Mevcut veri ... -
Blockchain-based Fog Computing Applications in Healthcare
(IEEE, 2020)— Son zamanlarda blokzincir teknolojisinin sağlık alanında kullanımı artmıştır. Blokzincir teknolojisinin sağlık alanına getirdiği birçok yenilik olmasına rağmen, halen çözülmeyi bekleyen problemleri mevcuttur. Bu ... -
Ceph-based Storage Server Application
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Ceph is a scalable and high performance distributed file system. In this study, a Ceph-based storage server was implemented and used actively. This storage system has been used as a disk of 40 virtual servers in 4 different ... -
Combining Classifiers for Protein Secondary Structure Prediction
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Protein secondary structure prediction is an important step in estimating the three dimensional structure of proteins. Among the many methods developed for predicting structural properties of proteins, hybrid classifiers ... -
Common miRNA signatures in a group of rare neuromuscular disorders
(WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2018)Neuromuscular disorders (NMD) are heterogeneous group ofgenetic diseases that encompasses many different syndromes anddiseases that either directly or indirectly impairs the function ofskeletal muscle. However, there are ... -
Credit Card Fraud Detection with Machine Learning Methods
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 01.01.2019)With the increase in credit card usage of people, the credit card transactions increase dramatically. It is difficult to identify fraudulent transactions among the vast amount of credit card transactions. Although credit ... -
A Data Mining Method For Refining Groups In Data Using Dynamic Model Based Clustering
(IEEE, 2013)A new data mining method is proposed for determining the number and structure of clusters, and refining groups in multivariate heterogeneous data set including groups, partly and completely overlapped group structures ... -
Data Mining Techniques in Direct Marketing on Imbalanced Data using Tomek Link Combined with Random Under-sampling
(Association for Computing Machinery, 2021)Determining the potential customers is very important in direct marketing. Data mining techniques are one of the most important methods for companies to determine potential customers. However, since the number of potential ... -
Design of a Tri band 5-Fingers Shaped Microstrip Patch Antenna with an Adjustable Resistor
(IEEE, 2014)This paper presents a tri band 5-fingers shaped microstrip patch antenna, which resonates initially at dual band of 3.2 GHz and 5.2 GHz frequencies for VSWR < 2. The antenna is modified by adding an adjustable resistor ... -
Development of Knowledge Based Response Correction for a Reconfigurable N-Shaped Microstrip Antenna Design
(IEEE, 2015)This study presents the use of prior knowledge of inverse artificial neural network (ANN) to model and optimize a reconfigurable N-shaped microstrip antenna. Three accurate prior knowledge inverse ANNs with large amount ... -
Ensemble Churn Prediction for Internet Service Provider with Machine Learning Techniques
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2020)With the developing technology in every fields, a competitive marketing environment has been arised In this competitive environment analyzing customer behavior has become vital In particular, the ability to easily change ... -
Evaluation of Classification Algorithms, Linear Discriminant Analysis and a New Hybrid Feature Selection Methodology for the Diagnosis of Coronary Artery Disease
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)According to the World Health Organization (WHO), 31% of the world's total deaths in 2016 (17.9 million) was due to cardiovascular diseases (CVD). With the development of information technologies, it has become possible ... -
Evaluation of Dominant and Non-Dominant Hand Movements For Volleyball Action Modelling
(ASSOC COMPUTING MACHINERY, 1515 BROADWAY, NEW YORK, NY 10036-9998 USA, 2019)In this paper, we assess the use of Inertial Measurement Units (IMU) in recognising different volleyball-specific actions. Analysis of the results suggests that all sensors in the IMU (i.e. magnetometer, accelerometer, ... -
EXTRACTING PRNU NOISE FROM H.264 CODED VIDEOS
(IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, 2018)Every device equipped with a digital camera has a unique identity. This phenomenon is essentially due to a systematic noise component of an imaging sensor, known as photo-response non-uniformity (PRNU) noise. An imaging ... -
Feature Selection for Protein Dihedral Angle Prediction
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Three-dimensional structure prediction has crucial importance for bioinformatics and theoretical chemistry. One of the main steps of three-dimensional structure prediction is dihedral (torsion) angle prediction. As new ... -
The Identification of Discriminative Single Nucleotide Polymorphism Sets for the Classification of Behcet's Disease
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Behcet's disease is a long-term multisystem inflammatory disorder, characterized by recurrent attacks affecting several organs. As the genotyping individuals get cheaper and easier following the developments in genomic ... -
Identification of Shared Pathways Among Immune Related Diseases Utilizing Active Subnetworks
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2020)Different, but related diseases often contain shared symptoms indicating the presence of possible overlaps in underlying pathogenic mechanisms. The identification of the shared pathways and related factors across these ...