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Browsing Bilgisayar Mühendisliği Bölümü Yayın Koleksiyonu by Title

Now showing items 99-118 of 330

D2 +Nin(T), n=7 and 9, Collision System

Böyükata, Mustafa; Durmuş, Perihan; Özçelik, Süleyman; Güvenç, Ziya Burhanettin; Jellinek, Julius (1999-04-01)

In this study the kinetics of reactions of Nin n=7 and 9, clusters with a deuterium D2 molecule are studied via quasiclassical molecular dynamics. Dissociative chemisorption probabilities as functions of impact parameters, ...
Deep learning methods in the diagnosis of sacroiliitis from plain pelvic radiographs

Üreten, Kemal; Maraş, Yüksel; Duran, Semra; Gök, Kevser (2023-01-03)

OBJECTIVES: The aim of this study is to develop a computer-aided diagnosis method to assist physicians in evaluating sacroiliac radiographs. METHODS: Convolutional neural networks, a deep learning method, were used in this ...
Delaunay Triangulation Based 3D Human Face Modeling From Uncalibrated İmages

Hassanpour, Reza; Atalay, Volkan (IEEE Computer Society, 2004)

In this paper, we describe an algorithm for generating three dimensional models of human faces from uncalibrated images. Input images are taken by a camera generally with a small rotation around a single axis which may ...
Density functional study of physical and chemical properties of nano size Boron Clusters: B-n (n=13-20)

Atış, Murat; Özdoğan, Cem; Güvenç, Büşra (Chinese Physical Soc, 2009-08)

Boron is an element that has ability to build strong and highly directional bonds with boron itself. As a result, boron atoms form diverse structural motifs, ultimately can yield distinct nano structures, such as planar, ...
Design Effort Estimation Using Complexity Metrics

Salman, Nael; Doǧru, A. (2004-09)

Component-oriented software development is a new trend and is becoming very popular these days. In addition to requiring a different development approach, the new orientation also requires a different metrics approach. A ...
Designing Games for Improving the Software Development Process

Koşa, Mehmet; Yılmaz, Murat (Springer Verlag, 2015)

With the proliferation of relevant technologies that enables interactive social engagements, games became a strong driving power for next generation social environments. One of the reason for this is that there is an ...
Detection of hand osteoarthritis from hand radiographs using convolutional neural networks with transfer learning

Üreten, Kemal; Erbay, Hasan; Maraş, Hadi Hakan (2020)

Osteoarthritis is the most common type of arthritis. Hand osteoarthritis leads to specific structural changes in the joints, such as asymmetric joint space narrowing and osteophytes (bone spurs). Conventional radiography ...
Detection of hip osteoarthritis by using plain pelvic radiographs with deep learning methods

Üreten, Kemal; Arslan, Tayfun; Gültekin, Korcan Emre; Demir Demirgöz, Ayşe Nur; Özer, Hafsa Feyza; Bilgili, Yasemin (2020-09-01)

Objective: The incidence of osteoarthritis is gradually increasing in public due to aging and increase in obesity. Various imaging methods are used in the diagnosis of hip osteoarthritis, and plain pelvic radiography is ...
Detection of Rheumatoid Arthritis From Hand Radiographs Using A Convolutional Neural Network

Üreten, K.; Erbay, H.; Maraş, H. Hakan (Springer, 2020-04-01)

Introduction: Plain hand radiographs are the first-line and most commonly used imaging methods for diagnosis or differential diagnosis of rheumatoid arthritis (RA) and for monitoring disease activity. In this study, we ...
Determination of complete melting and surface premelting pointsof silver nanoparticles by molecular dynamics simulation

Alarifi, H. A.; Atis, M.; Özdoğan, C.; Hu, A.; Yavuz, M; Zhou, Y (Amer Chemical Soc, 2013-06-13)

A molecular dynamics simulation based on the embedded-atom method was conducted at different sizes of single-crystal Ag nanoparticles (NPs) with diameters of 4 to 20 nm to find complete melting and surface premelting points. ...
Development of a recurrent neural networks-based calving prediction model using activity and behavioral data

Keçeli, Ali Seydi; Çatal, Çağatay; Kaya, Aydın; Tekinerdoğan, Bedir (2020-03)

Accurate prediction of calving time in dairy cattle is crucial for dairy herd management to reduce risks like dystocia and pain. Prediction of calving using traditional, manual observation such as observing breeding records ...
Diagnosis of osteoarthritic changes, loss of cervical lordosis, and disc space narrowing on cervical radiographs with deep learning methods

Maraş, Yüksel; Tokdemir, Gül; Üreten, Kemal; Atalar, Ebru; Duran, Semra; Maraş, Hakan (2022)

Cervical graphs and graphs of diseases that cause mechanical neck pain by using deep convolutional neural networks (DCNN) technology. Materials and methods: In this retrospective study, the convolutional neural networks ...
Did satellite imagery supersede aerial imagery? A perspective from 3D geopositioning accuracy

Yılmaz, Altan; Erdoğan, Mustafa; Maraş, Hadi Hakan; Aktuğ, Bahadır; Maraş, Süleyman Sırrı (Springer Heidelberg, 2016-04)

In this study, the geometric accuracy comparison of aerial photos and WorldView-2 satellite stereo image data is evaluated with the different number and the distribution of the ground control points (GCPs) on the basis of ...
Did satellite imagery supersede aerial imagery? A perspective from 3D geopositioning accuracy

Yilmaz, Altan; Erdogan, Mustafa; Maraş, Hadi Hakan; Aktuğ, Bahadır; Maraş, Süleyman Sırrı (2016-04)

In this study, the geometric accuracy comparison of aerial photos and WorldView-2 satellite stereo image data is evaluated with the different number and the distribution of the ground control points (GCPs) on the basis of ...
Diffusion of Latent Semantic Analysis As A Research Tool: A Social Network Analysis Approach

Tonta, Yaşar; Darvish, Hamid R. (Elsevier, 2010-04)

Latent semantic analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from information retrieval to machine learning ...
Digital image watermarking method in multi level DWT

Aydın, Sebile; Memiş, Merve; Elbaşı, Ersin (2008)

Yayın haklarını korumak amacıyla kullanılan damgalama metodunda damga; logo, imge veya yazı şeklinde olabilir. Özellikle ikili (binary) logo şeklindeki damgalarla yapılan damgalama, oldukça çalışılmış ve iyi sonuçlar ...
Digital Storytelling on a Virtual Heritage Museum with Believable Agents

Güleç, Ulaş; Yılmaz, Murat; Kalan, Kaan; Dikbayır, Hasan Saygın; Merdivanlı, Oğulcan; Değirmenci, Utku Mert; Clarke, Paul M. (2021)

The preservation of cultural heritage plays a very important role in terms of the sustainability of societies since culture is one of the most important phenomena that hold individuals together. However, although the ...
Digital Video Stabilization Using Radon Transform

Babagholami-Mohamadabadi, Behnam; Bagheri-Khaligh, Ali; Hassanpour, Reza (IEEE, 2012)

Digital video stabilization is a category of techniques used to reduce the impact of unintentional camera motion such as jitter, jiggle, and other unsteady motions. These unintentional shakings degrade visual quality of ...
Distributed Query Processing and Reasoning over Linked Big Data

Choupani, Roya (2020)
Distribution-preserving data augmentation

Saran, Nurdan Ayşe; Saran, Murat; Nar, Fatih (2021-05-27)

In the last decade, deep learning has been applied in a wide range of problems with tremendous success. This success mainly comes from large data availability, increased computational power, and theoretical improvements ...

Now showing items 99-118 of 330

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