Browsing Mühendislik-Mimarlık Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü, Makale Koleksiyonu by Issue Date
Now showing items 1-20 of 30
-
Örüntü tanımada hopfield ağının kullanılması
(Batman Üniversitesi, 2012)Bilgisayar teknolojisinin hızlı bir şekilde gelişmesi akıllı sistemlerin insan yaşamının birçok alanında kullanılmasını artırmıştır. Bu alanlardan birisi de alfa nümerik karakterlerin otomatik olarak doğru bir şekilde ... -
Gabor dalgacık dönüşümü tabanlı yapay sinir ağı modeli ile zambak yaprağı imgelerinde pas hastalıklarının tespiti
(Batman Üniversitesi, 2012-06-01)Bitkilerdeki hastalıklar, hasadı ve dolayısıyla verimi etkilemektedir. Hastalıkların önceden kestirilmesi, çiftçilerin alacağı önlemler ile verimi artıracaktır. Verimi etkileyen önemli hastalıkların başında pas hastalığı ... -
GLCM tabanlı k-nn sınıflandırıcı modeli ile avuç içi tanıma sistemi
(Batman Üniversitesi, 2012-06-01)K en yakın komşuluk algoritması, sınıflandırma problemini çözen bir algoritmadır. Sınıflandırma, yeni bir imgenin özniteliklerini inceleme ve bu imgeyi önceden tanımlanmış bir sınıfa atamaktır. Önemli olan, her bir sınıfın ... -
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), ... -
Matris konverterden beslenen sabit mıknatıslı senkron motorun vektör kontrolünün sayısal benzetimi
(Batman Üniversitesi, 2016)Bu çalışmada 3-fazlı bir matris konverterden beslenen sinüzoidal akı dağılımlı sabit mıknatıslı senkron motorun (SMSM), alan yönlendirmeli kontrol tekniğine göre hız denetimi gerçekleştirilmiştir. Kontrollü güç kaynağı ... -
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 ... -
A novel machine learning method based on generalized behavioral learning theory
(Springer Nature, 2016-04-09)Learning is an important talent for understanding the nature and accordingly controlling behavioral characteristics. Behavioral learning theories are one of the popular learning theories which are built on experimental ... -
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) ... -
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 ... -
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 ... -
A basic and brief scheme of an application of a machine learning process
(Batman Üniversitesi, 2017)Machine learning methods are powerful tools in modeling systems or extracting knowledge about a phenomenon from samples. This paper is written in order to make the process of machine learning clearer. Therefore, the reason ... -
Coordinated design of TCSC and PSS by using PSO algorithm for enhancement of SMIB power system stability
(Batman Üniversitesi, 2017)The main aim of this study is to investigate the enhancement of power system stability via individual and coordinated design of Thyristor Controlled Series Compensation (TCSC) and Power System Stabilizer (PSS) in single ... -
İki eksenli güneş takip sistemlerinde takip verimliliğin arttırılması
(Batman Üniversitesi, 2017)Güneş panellerinden elde edilen gücün DC olması bu sistemlerde kullanılan motorların da DC motor özellikli sistemler olmasını gerektirmektedir. DC motorlardaki hız kontrolü kolaylığı ve istenilen devirlerde kolay çalış ... -
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 ... -
Extreme learning machine model for water network management
(Springer Nature, 2017-04-22)A novel failure rate prediction model is developed by the extreme learning machine (ELM) to provide key information needed for optimum ongoing maintenance/rehabilitation of a water network, meaning the estimated times for ... -
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. ... -
A novel approach for extracting ideal exemplars by clustering for massive time-ordered datasets
(TÜBİTAK, 2017-07-30)The number and length of massive datasets have increased day by day and this yields more complex machine learning stages due to the high computational costs. To decrease the computational cost many methods were proposed in ... -
A fast feature selection approach based on extreme learning machine and coefficient of variation
(TÜBİTAK, 2017-07-30)Feature selection is the method of reducing the size of data without degrading their accuracy. In this study, we propose a novel feature selection approach, based on extreme learning machines (ELMs) and the coefficient of ...
