Karakaya, Kasım Murat

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Karakaya, Murat
Karakaya, Kasım Murat
K., Kasim Murat
K.,Kasım Murat
Karakaya,K.M.
Kasim Murat, Karakaya
K., Karakaya
K.,Kasim Murat
Karakaya, Kasim Murat
Kasım Murat, Karakaya
K.M.Karakaya
K.,Karakaya
Karakaya,M.
Karakaya,M.
Job Title
Profesör Doktor
Email Address
murat.karakaya@atilim.edu.tr
Main Affiliation
Computer Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
1
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
1
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
4
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

44

Articles

20

Views / Downloads

3/0

Supervised MSc Theses

4

Supervised PhD Theses

0

WoS Citation Count

138

Scopus Citation Count

200

Patents

0

Projects

0

WoS Citations per Publication

3.14

Scopus Citations per Publication

4.55

Open Access Source

4

Supervised Theses

4

JournalCount
UBMK 2018 - 3rd International Conference on Computer Science and Engineering -- 3rd International Conference on Computer Science and Engineering, UBMK 2018 -- 20 September 2018 through 23 September 2018 -- Sarajevo -- 1435604
2017 IEEE 1st Ukraine Conference on Electrical and Computer Engineering, UKRCON 2017 - Proceedings -- 1st IEEE Ukraine Conference on Electrical and Computer Engineering, UKRCON 2017 -- 29 May 2017 through 2 June 2017 -- Kyiv -- 1317632
Proceedings - 6th International Conference on Computer Science and Engineering, UBMK 2021 -- 6th International Conference on Computer Science and Engineering, UBMK 2021 -- 15 September 2021 through 17 September 2021 -- Ankara -- 1768262
3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEG2
1st International Informatics and Software Engineering Conference: Innovative Technologies for Digital Transformation, IISEC 2019 - Proceedings -- 1st International Informatics and Software Engineering Conference, IISEC 2019 -- 6 November 2019 through 7 November 2019 -- Ankara -- 1571112
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Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Scholarly Output Search Results

Now showing 1 - 10 of 44
  • Master Thesis
    Ss-mla: Uzaktan Algılamalı Görüntülerin Çok Etiketli Sınıflandırması için Yeni Bir Çözüm
    (2021) Üstünkök, Tolga; Karakaya, Kasım Murat
    Uzaktan algılanan görüntülerin çok etiketli sınıflandırması çok önemli bir araştırma alanıdır. Kentsel büyümeyi izlemekten askeri gözetlemeye kadar birçok uygulamaya sahiptir. Uzaktan algılanan görüntülerin çok etiketli sınıflandırması için birçok algoritma ve yöntem önerilmiştir. Bu tezde iki yaklaşım sunulmaktadır. İlki, küçük veri kümelerinde karmaşık yöntemlerin daha basit olanlara göre avantajı olmadığını gösteren CNN tabanlı basit bir modeldir. İkincisi, uzaktan algılanan görüntülerin çoklu etiketli sınıflandırması için Semi-Supervised Multi-Label Annotizer (SS-MLA) adı verilen rekabetçi bir Vector-Quantized Temporal Associative Memory (VQTAM) tabanlı yöntemdir. İlk yöntem, uzaktan algılanmış dört farklı veri kümesi üzerinde F1-Skorlarına göre literatürdeki diğer son teknoloji yöntemlerle ve SS-MLA ile karşılaştırılmıştır. Deney sonuçları, yeni bir yaklaşım olarak SS-MLA'nın, karşılaştırmaların yarısından ve önerilen basit yöntemden daha iyi sonuçlar verdiğini göstermektedir. Algoritma ve yöntemlerin tüm uygulamaları için Python 3.8 ortamında Tensorflow-GPU 2.4.0 ve Numpy 1.19.5 çerçeveleri kullanılmıştır.
  • Conference Object
    Citation - Scopus: 2
    Detecting Errors in Automatic Image Captioning by Deep Learning;
    (Institute of Electrical and Electronics Engineers Inc., 2021) Karakaya,M.
    Automatic tagging of images is an important researcli topic in tlie field of image processing. Anotlier area similar to this is the automatic generation of picture captions. In this study, a deep learning model that automatically tags the pictures is used to detect errors in image captions. As a result of the initial experiments, it is observed that the proposed system can find up to 80% of the errors in the image captions. © 2021 IEEE
  • Conference Object
    Citation - WoS: 1
    An Undergraduate Curriculum for Deep Learning
    (Ieee, 2018) Tirkes, Guzin; Ekin, Cansu Cigdem; Sengul, Gokhan; Bostan, Atila; Karakaya, Murat
    Deep Learning (DL) is an interesting and rapidly developing field of research which has been currently utilized as a part of industry and in many disciplines to address a wide range of problems, from image classification, computer vision, video games, bioinformatics, and handwriting recognition to machine translation. The starting point of this study is the recognition of a big gap between the sector need of specialists in DL technology and the lack of sufficient education provided by the universities. Higher education institutions are the best environment to provide this expertise to the students. However, currently most universities do not provide specifically designed DL courses to their students. Thus, the main objective of this study is to design a novel curriculum including two courses to facilitate teaching and learning of DL topic. The proposed curriculum will enable students to solve real-world problems by applying DL approaches and gain necessary background to adapt their knowledge to more advanced, industry-specific fields.
  • Conference Object
    Yazilim Mühendisliʇi Eʇitiminde Bitirme Projesi Dersinin Öʇrenci Bakiş Açisiyla Deʇerlendirilmesi
    (CEUR-WS, 2013) Karakaya,M.; Bostan,A.
    [No abstract available]
  • Article
    Citation - Scopus: 1
    Analyzing Students' Academic Success in Pre-requisite Course Chains: A Case Study in Turkey
    (Tempus Publications, 2018) Karakaya, Murat; Eryilmaz, Meltem; Ceyhan, Ulas; Computer Engineering
    There are several principles which have been accepted as approaches to successful curriculum development. In spite of the differences in the proposed sequencing of topics, all approaches basically depend on the pre-requisite chains to implement their educational approach in the curriculum development for specifying the order of the subjects. In this research, two prerequisite chains representing two different curriculum development approaches are taken into consideration in a case study. The first research question considered is whether academic success in a follow-up course is positively related to success attained in the pre-requisite course. The second one is whether or not the selected curriculum development approach for deciding the chains has a significant impact on the academic success relationships between a pre-requisite and its follow-up course. To answer these questions, course data of 441 undergraduate students who graduated from the Atilim University between Fall 2001 and Spring 2015 semesters were collected and analyzed. The results indicate that the succes levels gained in a pre-requisite and its follow-up course are corelated. Moreover, different cirriculum development methods can affect this corelation. Thus, cirriculum developers should consider appropriate approaches to improve student success for deciding chaining courses and their contents.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Msct: an Efficient Data Collection Heuristic for Wireless Sensor Networks With Limited Sensor Memory Capacity
    (Ksii-kor Soc internet information, 2015) Karakaya, Murat
    Sensors used in Wireless Sensor Networks (WSN) have mostly limited capacity which affects the performance of their applications. One of the data-gathering methods is to use mobile sinks to visit these sensors so that they can save their limited battery energies from forwarding data packages to static sinks. The main disadvantage of employing mobile sinks is the delay of data collection due to relative low speed of mobile sinks. Since sensors have very limited memory capacities, whenever a mobile sink is too late to visit a sensor, that sensor's memory would be full, which is called a 'memory overflow', and thus, needs to be purged, which causes loss of collected data. In this work, a method is proposed to generate mobile sink tours, such that the number of overflows and the amount of lost data are minimized. Moreover, the proposed method does not need either the sensor locations or sensor memory status in advance. Hence, the overhead stemmed from the information exchange of these requirements are avoided. The proposed method is compared with a previously published heuristic. The simulation experiment results show the success of the proposed method over the rival heuristic with respect to the considered metrics under various parameters.
  • Article
    Yazılım Mühendisliği Eğitiminde Bitirme Projesi Dersinin Öğrenci Bakış Açısıyla Değerlendirilmesi
    (Ulusal Yazılım Mühendisliği Sempozyumu, 2013) Bostan, Atila; Karakaya, Murat
    Yazılım mühendisliği eğitiminin ayrılmaz bir parçası olarak bitirme projesi dersi Türkiye’deki ilgili tüm programların müfredatlarında yer almaktadır. Lisans eğitim sürecinin son aşamasında çeşitli isimlerle yer alan ve öğrencilerin proje geliştirme süreçlerini grup içerisindeki çalışmalar ile tecrübe etmelerine olanak sağlayan bu ders, üniversiteler tarafından değişik şekillerde ele alın makta ve yönetilmektedir. Yazılım mühendisliği lisans eğitimindeki diğer derslerden gerek işleniş ve gerekse beklentiler açısından farklı olan bu dersin verilme sürecinde çeşitli sorunlarla ve güçlüklerle karşılaşılmaktadır. Bu çalışmada; yazılım mühendisliği programlarında verilen bitirme projesi dersinin öğrenci bakış açısından irdelenmesi için bu dersi alan öğrencilere anket yapılmış, öğrencilerin yaşdıkları zorluklar ile karşılaştıkları sorunlar belirlenmiş ve dersin öğrenciler açısından daha etkin ve faydalı olması için alınabilecek tedbirler öneriler olarak çalışmanın sonunda sunulmuştur
  • Article
    Citation - WoS: 3
    Citation - Scopus: 3
    Time-Sensitive Ant Colony Optimization To Schedule a Mobile Sink for Data Collection in Wireless Sensor Networks
    (Old City Publishing inc, 2015) Karakaya, Murat; Computer Engineering
    In Wireless Sensor Networks, sensor nodes are deployed to monitor and record the changes in their surroundings. The collected data in the sensor memories is transferred to a remote central via static or mobile sinks. Because sensors have scarce memory capacity various challenges occur in gathering the data from the environment and transferring them to the remote control. For instance, a sensor's memory might get completely full with the sensed data if the sensor can not transfer them on time. Then, a memory overflow happens which causes all the collected data to be erased to free the memory for future readings. Therefore, when a mobile sink (MS) is employed to collect data from the sensors, the MS has to visit each sensor before any memory overflow takes place. In this paper, we study the design of a mobile sink scheduling algorithm based on the Ant Colony Optimization (ACO) meta-heuristic to address this specific issue. The proposed scheduling algorithm, called Mobile Element Scheduling with Time Sensitive ACO (MES/TSACO), aims to prepare a schedule for a mobile sink to visit sensors such that the number of memory overflow incidents is reduced and the amount of collected data is increased. To test and compare the effectiveness of the MES/TSACO approach, the Minimum Weighted Sum First (MWSF) heuristic is implemented as an alternative solution. The results obtained from the extensive simulation tests show that the MES/TSACO generates schedules with considerably reduced number of overflow incidents and increased amount of collected data compared to the MWSF heuristic.
  • Conference Object
    Citation - Scopus: 6
    Topic-Controlled Text Generation
    (Institute of Electrical and Electronics Engineers Inc., 2021) Çağlayan,C.; Karakaya,M.
    Today, the text generation subject in the field of Natural Language Processing (NLP) has gained a lot of importance. In particular, the quality of the text generated with the emergence of new transformer-based models has reached high levels. In this way, controllable text generation has become an important research area. There are various methods applied for controllable text generation, but since these methods are mostly applied on Recurrent Neural Network (RNN) based encoder decoder models, which were used frequently, studies using transformer-based models are few. Transformer-based models are very successful in long sequences thanks to their parallel working ability. This study aimed to generate Turkish reviews on the desired topics by using a transformer-based language model. We used the method of adding the topic information to the sequential input. We concatenated input token embedding and topic embedding (control) at each time step during the training. As a result, we were able to create Turkish reviews on the specified topics. © 2021 IEEE
  • Article
    Biometric Verification on E-Id Secure Access Devices: a Case Study on Turkish National E-Id Card Secure Access Device Specifications
    (International Journal of Information Security Science, 2017) Bostan, Atila; Şengül, Gökhan; Karakaya, Murat
    Biometric verification on e-ID cards requires clear procedures and standards be defined, especially when the access devices are anticipated to be produced commercial companies. Turkish national e-ID card project has reached the dissemination step. Now the commercial companies are expected to produce and market e-ID card access devices which will conduct secure electronic identity verification functions. However, published standards specifying e-ID card-access-device requirements are ambiguous on biometric verification procedures. In this study, we intended to attract scientific interest to the problems identified in the current design of biometric verification on Turkish national e-ID cards and proposed several verification alternatives which enables the production of e-ID card access devices in a commercial-competition environment.