Browsing Yazılım Mühendisliği Bölümü by Type "article"

Now showing items 1-20 of 28

A combined spatial and frequency based texture model for organsegmentation in computed tomography examinations

Jafari, Aref; Hassanpour, Reza; Shahbahrami, Asadollah; Wong, Stephan (Amer Scientific Publishers, 2014-04)

The organ segmentation in computed tomography (CT) examination is a tedious and error prone task. The local similarity of the pixels from different organs, and the differences between the pixels of the same organ observed ...
A Comparative Evaluation Of Popular Search Engines On Finding Turkish Documents For A Specific Time Period

Bitirim, Yıltan; Görür, Abdül Kadir (Univ Osijek, Tech Fac, 2017-04)

This study evaluates the popular search engines, Google, Yahoo, Bing, and Ask, on finding Turkish documents by comparing their current performances with their performances measured six years ago. Furthermore, the study ...
A comprehensive survey on recent metaheuristics for feature selection

Dokeroglu, Tansel; Deniz, Ayça; Kiziloz, Hakan Ezgi (2022-07-14)

Feature selection has become an indispensable machine learning process for data preprocessing due to the ever-increasing sizes in actual data. There have been many solution methods proposed for feature selection since the ...
A Concept-based Sentiment Analysis Approach for Arabic

Nasser, Ahmed; Sever, Hayri (2020-09)

Concept-Based Sentiment Analysis (CBSA) methods are considered to be more advanced and more accurate when it compared to ordinary Sentiment Analysis methods, because it has the ability of detecting the emotions that conveyed ...
A Constraint Programming Approach To A Real-World Workforce Scheduling Problem For Multi-Manned Assembly Lines With Sequence-Dependent Setup Times

Güner, Funda; Görür, Abduel K.; Satır, Benhür; Kandiller, Levent; Drake, John H. (2023-07)

For over five decades, researchers have presented various assembly line problems. Recently, assembly lines with multiple workers at each workstation have become very common in the literature. These lines are often found ...
A new parallel multi-objective Harris hawk algorithm for predicting the mortality of COVID-19 patients

Dökeroğlu, Tansel (2023-06-14)

Harris' Hawk Optimization (HHO) is a novel metaheuristic inspired by the collective hunting behaviors of hawks. This technique employs the flight patterns of hawks to produce (near)-optimal solutions, enhanced with feature ...
A new robust Harris Hawk optimization algorithm for large quadratic assignment problems

Dokeroglu, Tansel; Ozdemir, Yavuz Selim (2023-06)

Harris Hawk optimization (HHO) is a new robust metaheuristic algorithm proposed for the solution of large intractable combinatorial optimization problems. The hawks are cooperative birds and use many intelligent hunting ...
A Two-Stage Matching Method for Multi-Component Shapes

Hassanpour, Reza (Univ Suceava, 2015)

In this paper a shape matching algorithm for multiple component objects has been proposed which aims at matching shapes by a two-stage method. The first stage extracts the similarity features of each component using a ...
An intelligent system for detecting Mediterranean fruit fly

Uzun, Yusuf; Tolun, Mehmet Resit; Eyyuboglu, Halil Tanyer; Sarı, Filiz (2022-09-09)

Nowadays, the most critical agriculture-related problem is the harm caused to fruit, vegetable, nut, and flower crops by harmful pests, particularly the Mediterranean fruit fly, Ceratitis capitata, named Medfly. Medfly's ...
An island parallel Harris hawks optimization algorithm

Dokeroglu, Tansel; Sevinc, Ender (2022-11)

The Harris hawk optimization (HHO) is an impressive optimization algorithm that makes use of unique mathematical approaches. This study proposes an island parallel HHO (IP-HHO) version of the algorithm for optimizing ...
Assessment of improvement of the IRI model for foF2 variability over three latitudes in different hemispheres during low and high solar activities

Timoçin, Erdinç; Temuçin, Hüseyin; Inyurt, Samed; Shah, Munawar; Jamjareegulgarn, Punyawi (2021-03)

This paper discusses the diurnal and seasonal variations of the F2 layer critical frequency (foF2) and the improvement of performance of the IRI-2016 model in predicting foF2 over three latitudes in different hemispheres ...
Big Data Reduction and Visualization Using the K-Means Algorithm

Akyol, Hakan; Kızılduman, Hale Sema; Dökeroğlu, Tansel (2022-07)

A huge amount of data is being produced every day in our era. In addition to high-performance processing approaches, efficiently visualizing this quantity of data (up to Terabytes) remains a major difficulty. In this ...
Block Size Analysis for Discrete Wavelet Watermarking and Embedding a Vector Image as a Watermark

Sever, Hayri; Şenol, Ahmet; Elbaşı, Ersin (Zarka Private Univ, 2019-11)

As telecommunication and computer technologies proliferate, most data are stored and transferred in digital format. Content owners, therefore, are searching for new technologies to protect copyrighted products in digital ...
Creating consensus group using online learning based reputation in blockchain networks

Buğday, Ahmet; Özsoy, Adnan; Öztaner, Serdar Murat; Sever, Hayri (Elsevier, 2019-10)

One of the biggest challenges to blockchain technology is the scalability problem. The choice of consensus algorithm is critical to the practical solution of the scalability problem. To increase scalability, Byzantine Fault ...
Deep Combination of Stylometry Features in Forensic Authorship Analysis

Canbay, Pelin; Sezer, Ebru; Sever, Hayri (2020)

Authorship Analysis (AA) in forensic is a process aim to extract information about an author from his/her writings. Forensic AA is needed for detection characteristics of anonymous authors to make better the security of ...
Exploring MOOC Learners’ Behavioural Patterns Considering Age, Gender and Number of Course Enrolments: Insights for Improving Educational Opportunities

Çağıltay, Nergiz Ercil; Toker, Sacip; Çağıltay, Kürşat (2024)

Massive Open Online Courses (MOOCs) now offer a variety of options for everyone to obtain a high-quality education. The purpose of this study is to better understand the behaviours of MOOC learners and provide some insights ...
Hand gesture recognition in variable length sequences

Choupani, Roya; Tolun, Mehmet R. (2005-09)

Using hand gestures in human computer interaction has been a major challenge during the recent years. Many of the hand gesture recognition systems however, have been based on the recognition of hand postures and estimating ...
Hyper-heuristics: A survey and taxonomy

Dökeroğlu, Tansel; Küçükyılmaz, Tayfun; Talbi, El-Ghazali (2024-01)

Hyper-heuristics are search techniques for selecting, generating, and sequencing (meta)-heuristics to solve challenging optimization problems. They differ from traditional (meta)-heuristics methods, which primarily employ ...
Identifying criminal organizations from their social network structures

Çınar, Muhammet Serkan; Genç, Burkay; Sever, Hayri (Tubitak Scientific & Technical Research Council Turkey, 2019)

Identification of criminal structures within very large social networks is an essential security feat. By identifying such structures, it may be possible to track, neutralize, and terminate the corresponding criminal ...
Investigation of equatorial plasma bubble irregularities under different geomagnetic conditions during the equinoxes and the occurrence of plasma bubble suppression

Timoçin, Erdinç; İnyurt, Samed; Temuçin, Hüseyin; Ansari, Kutubuddin; Jamjareegulgarn, Punyawi (2020-12)

In this study, we investigated the behavior of equatorial plasma bubble irregularities under different geomagnetic conditions during March 2015 and September 2017. It was used Total Electron Content (TEC) data obtained ...

Now showing items 1-20 of 28

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