Güncel Gönderiler: Bilgisayar Mühendisliği Bölümü Makale Koleksiyonu
Toplam kayıt 68, listelenen: 41-60
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Autonomous Vehicle Convoy Formation Control with Size/Shape Switching for Automated Highways
(Materials & Energy Research Center-Merc, 2020)Today's semi-autonomous vehicles are gradually moving towards full autonomy. This transition requires developing effective control algorithms for handing complex autonomous tasks. Driving as a group of vehicles, referred ... -
A machine learning-based framework for predicting game server load
(Springer, 2020)Server load prediction can be utilized for load-balancing and load-sharing in distributed systems. The use of machine learning (ML) algorithms for load estimation in distributed system applications can increase the ... -
A Novel Cancellation Protection Service in Online Reservation System
(IEEE, 2020)Web-based systems are frequently used by the customers as well as travel agencies for online flight reservation and booking. In general, customers prefer to plan their trips as early as possible to take advantage of ... -
Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes
(Sage, 2020)Reliable prediction of municipal solid waste (MSW) generation rates is a significant element of planning and implementation of sustainable solid waste management strategies. In this study, the multi-layer perceptron ... -
Harmonic analysis of steady-state visual evoked potentials in brain computer interfaces
(Elsevier, 2020)The signals generated in the occipital lobe of the brain, as a result of visual stimuli flickering at a certain frequency, are called steady-state visual evoked potentials (SSVEPs). Spectral properties of the SSVEPs are ... -
HEEL: A new clustering method to improve wireless sensor network lifetime
(Inst Engineering Technology, 2020)In wireless sensor networks, some resources such as memory and energy are limited. In recent years, there has been an increasing interest in improving network lifetime. Node energy plays an important role in the network ... -
FTSH: a framework for transition from square image processing to hexagonal image processing
(Springer, 2020)This paper proposes a novel framework for transition from the ordinary square-pixel-based image processing (SIP) domain to the hexagonal-pixel-based (HIP) domain (FTSH). The conventional image acquisition and processing ... -
RPINBASE: An online toolbox to extract features for predicting RNA-protein interactions
(Academic Press Inc Elsevier Science, 2020)Feature extraction is one of the most important preprocessing steps in predicting the interactions between RNAs and proteins by applying machine learning approaches. Despite many efforts in this area, still, no suitable ... -
Ayrık dalgacık dönüşümü bileşenlerine ait istatistiksel veriler ile epileptik eeg işaretlerinin sınıflandırılması
(2014)Beynin elektriksel aktivitesindeki anormal değişimden kaynaklanan epilepsi hastalığının teşhisinde EEG işaretlerinin analizi ve sınıflandırılması oldukça önemlidir. Bu çalışmada durağan olmayan EEG işaretlerinin spektral ... -
İnternet Bankacılığında Yatırım Ürünlerinin Kişisel Yatırımları Artırmaya Etkisi Ve Türkiye’de İnternet Bankacılığı Üzerine Bir İnceleme
(2017)Çalışmada yatırım ürünleri ile internet bankacılığı ilişkisini kurmaya çalışmaktadır. Bununla birlikte teknoloji düzeyinin yatırımlara etkisi incelenmiş, yeni teknolojilere örnek verilmiş, ileri teknoloji ve algoritmalar ... -
Mevduat Bankalarının Karlılığının Yapay Sinir Ağları ile Tahmini: Bir Yazılım Modeli Tasarımı
(2015)Son yıllarda karlılık analizlerinde; esnek hesaplama (EH) teknikleri, doğrusal olmayan çok değişkenli veri yapısında başarılı uygulamalarından dolayı tercih edilmektedir. Ancak, EH kullanımında karşılaşılan birtakım ... -
Uydu Görüntülerinden elde edilen bilgilerle yeryüzü şekillerinin tanımlanması ve değişimlerinin gözlenmesinde coğrafi bilgi sistemlerinden yararlanılması üzerine bir ön çalışma
(2014)Coğrafi Bilgi Sistemleri(CBS) sayesinde uzaktan algılama teknikleri ile elde edilen uydu görüntülerinden yar arlanarak yeryüzündeki doğal ve yapay tüm kaynaklar hakkında bilgiye ulaşmak mümkündür. Ancak elde edilen orijinal ... -
The effects of digital game-based learning on performance and motivation for high school students
(ICIC Express Letters Office, 2015)The purpose of this study is to investigate the effects of digital game-based learning on the performance and motivation of high school students in computer science education. A simple matching game was designed using the ... -
Diamon: Learning the english language through gaming by kindergarten students
(ICIC Express Letters Office, 2015)The purpose of this study was to measure the effect of a serious game on the achievement and performance of 6 years old kindergarten students. A mobile game, Diamon, was designed using the Spiral Education Game Design ... -
A novel hybrid approach for sentiment classification of Turkish tweets for GSM operators
(North Atlantic University Union, 2018)The increase in the amount of content shared on social media makes it difficult to extract meaningful information from scientific studies. Accordingly, in recent years, researchers have been working extensively on sentiment ... -
Information retrieval using the reduced row echelon form of a term-document matrix
(Taiwan Academic Network Management Committee, 2019)It is getting more difficult to retrieve relevant information regarding the user input query due to the large amount of information in the web. Unlike the conventional information retrieval (IR) algorithms, this study ... -
A novel high-performance holistic descriptor for face retrieval
(Springer London, 2020)Texture extraction-based classification has become the facto methodology applied in face recognition. Haralick feature extraction from gray-level co-occurrence matrix (GLCM) is one of the basic holistic studies that has ... -
I-GWO and Ex-GWO: improved algorithms of the Grey Wolf Optimizer to solve global optimization problems
(Springer London, 2019)In this paper, two novel meta-heuristic algorithms are introduced to solve global optimization problems inspired by the Grey Wolf Optimizer (GWO) algorithm. In the GWO algorithm, wolves are likely to be located in regions ... -
RIMFRA: Rotation-invariant multi-spectral facial recognition approach by using orthogonal polynomials
(Springer New York LLC, 2019)This paper proposes a novel rotation-invariant multi-spectral facial recognition approach (RIMFRA) by using orthogonal polynomials. In the first step, a rotation, illumination and noise invariant local descriptor (RinLd) ... -
An Intelligent Software Model Design For Estimating Deposit Banks Profitability with Soft Computing Techniques
(Acad Sciences Czech Republic, Inst Computer Science, 2015)Profitability of Turkish banking sector gained importance after national and international financial crisis happened in the last decade, which revealed the need to make a research on profitability and the factors determining ...
