Elektrik-Elektronik Mühendisliği Bölümü
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Enerji̇ i̇leti̇m hatlarında Wi̇gner Vi̇lle dağılımı, gri̇ düzey eş oluşum matri̇si̇ ve örüntü tanıma yöntemleri̇ i̇le arıza anali̇zi̇
(IEEE, 2012-05-30)Artan enerji ihtiyacı, enerji iletiminin önemini artırmıştır. Enerjinin kesintisiz iletimi için arızalı iletim hattının iletim sisteminden hızla izole edilmesi gerekmektedir. Yapılan çalışmada enerji iletim hatlarında arıza ... -
Hari̇ci̇ uyartı akımı ve i̇yoni̇k konsantrasyonların Hodgki̇n-Huxley si̇ni̇r modeli̇ üzeri̇ndeki̇ etki̇leri̇
(IEEE, 2012-05-30)Hodgkin-Huxley (HH) nöron modeli teorik sinirbilimde çok önemli bir yere sahiptir. Çalışmada HH nöron modelini esas alınarak uyartı akım değerinin ve hücre içi ve dışı iyonik sodyum ve potasyum konsantrasyonlarının ... -
Kortikal bir ağ modelinin çıkış verisindeki karmaşıklık ve uyumluluk analizi
(IEEE, 2013-06-13)Depending on the complex interconnection of billions of neurons forming cortical network excitation times and the emergence of action potentials or spike trains becomes complex and irregular. The effect of various parameters ... -
EMG sinyallerinin aşırı ögrenme makinesi ile sınıflandırılması
(IEEE, 2013-06-13)From disease detection to action assessment EMG signals are used variety of field. Miscellaneous studies have been conducted toward analysis of EMG signals. In this study some statistical features of signal were derived, ... -
Enerji iletim Hatlarında oluşan arızaların aşırı öğrenme makinesi ile tespiti
(IEEE, 2013-06-13)With the increase of energy demand continuous energy transmission gained considerable attention. For a continuous energy transmission, the faulty power transmission line needs to be quickly isolated from the system. In ... -
Doküman dili tanıma için yeni bir öznitelik çıkarım yaklaşımı: İkili desenler
(Gazi Üniversitesi, 2016-12-14)Doğal dil işlemenin önemli alt konularından biri olan dil tanıma (DT), bir dokümanın içeriğine göre yazıldığı dili belirleme işlemidir. Bu çalışmada, karakterlerin UTF-8 değerlerini birbirleri ile karşılaştırmalar sonucu ... -
Forecasting electricity load by a novel recurrent extreme learning machines approach
(Elsevier, 2016-06)Growth in electricity demand also gives a rise to the necessity of cheaper and safer electric supply and forecasting electricity load plays a key role in this goal. In this study recurrent extreme learning machine (RELM) ... -
Smart city planning by estimating energy efficiency of buildings by extreme learning machine
(IEEE, 2016-06-20)Estimation of energy efficiency is one of the major issues in smart city planning. Although, there are some papers about estimation of energy efficiency of the buildings, there is still a requirement of an effective method ... -
A novel approach for SEMG signal classification with adaptive local binary pattern
(Springer Nature, 2015-12-31)Feature extraction plays a major role in the pattern recognition process, and this paper presents a novel feature extraction approach, adaptive local binary pattern (aLBP). aLBP is built on the local binary pattern (LBP), ... -
A novel approach for spam email detection based on shifted binary patterns
(Wiley-Blackwell, 2016-01-11)Advances in communication allow people flexibility to communicate in various ways. Electronic mail (email) is one of the most used communication methods for personal or business purposes. However, it brings one of the most ... -
Detection of Parkinson's disease by Shifted One Dimensional Local Binary Patterns from gait
(Elsevier, 2016-09)The Parkinson's disease (PD) is one of the most common diseases, especially in elderly people. Although the previous studies showed that the PD can be diagnosed by expert systems through its cardinal symptoms such as the ... -
A novel feature extraction approach in SMS spam filtering for mobile communication: one-dimensional ternary patterns
(Wiley-Blackwell, 2016-10-19)The importance and utilization of mobile communication are increasing day by day, and the short message service (SMS) is one of them. Although SMS is a widely used communication way, it brings together a major problem, ... -
Gender classification from facial images using gray relational analysis with novel local binary pattern descriptors
(Springer Nature, 2016-11-18)Gender classification (GC) is one of the major tasks in human identification that increase its accuracy. Local binary pattern (LBP) is a texture method that employed successfully. But LBP suffers a major problem; it cannot ... -
A novel version of k nearest neighbor: Dependent nearest neighbor
(Elsevier, 2017-06)k nearest neighbor (kNN) is one of the basic processes behind various machine learning methods In kNN, the relation of a query to a neighboring sample is basically measured by a similarity metric, such as Euclidean distance. ... -
Estimation of short-term power load of a small house by generalized behavioural learning method
(IEEE, 2017-06-15)Power load estimation, especially short-term power load estimation, plays an important role in the management of a power system in terms of system security and electricity costs. Therefore, estimation of short-term power ... -
Forecasting local mean sea level by generalized behavioral learning method
(Springer Nature, 2017-03-13)Determining and forecasting the local mean sea level (MSL), which is a major indicator of global warming, is an essential issue to set public policies to save our future. Owing to its importance, MSL values are measured ... -
Determining relevant features in estimating short-term power load of a small house via feature selection by extreme learning machine
(IEEE, 2017-11-02)Estimating short-term power load is a fundamental issue in the power distribution system. Since short-term power load is related to many parameters such as weather conditions, and time. The aim of this study is to determine ... -
İki kanal yüzey EMG işareti ile el aç/kapa ve el parmaklarının sınıflandırılması
(IEEE, 2017-11-02)In this study, two-channel surface electromyogram (sEMG) signals were used to classify hand open/close with fingers. The bispectrum analysis of the sEMG signal recorded with surface electrodes near the region of the muscle ... -
Horlama işaretlerinden uyku apnesi teşhisinde yeni bir yaklaşım: Üçlü desen yöntemi
(IEEE, 2017-11-02)Bu çalışmada, Tıkayıcı Uyku Apnesi Sendromu (TUAS) kestirimi için yeni bir yaklaşım önerilmektedir. TUAS, insan hayat konforunu etkileyen son derece ciddi bir uyku hastalığıdır. TUAS’ın teşhisi genellikle pahalı cihazlar ... -
Randomized feed-forward artificial neural networks in estimating short-term power load of a small house: A case study
(IEEE, 2017-11-02)Randomized feed-forward artificial neural networks (ANNs) have been employed in various domains. This paper was written in order to assess the efficiency of the basic forms of randomized feed-forward ANNs, which are ...
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