Bostan, Atila

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/7717
Name Variants
B., Atila
A., Bostan
Bostan,A.
Bostan, Atila
A.,Bostan
B.,Atila
Atila, Bostan
Job Title
Doktor Öğretim Üyesi
Email Address
atila.bostan@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
1
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
1
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
6
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

38

Articles

17

Views / Downloads

57/119

Supervised MSc Theses

6

Supervised PhD Theses

3

WoS Citation Count

15

Scopus Citation Count

18

Patents

0

Projects

0

WoS Citations per Publication

0.39

Scopus Citations per Publication

0.47

Open Access Source

3

Supervised Theses

9

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
3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEG2
2nd International Conference on Computer Science and Engineering, UBMK 2017 -- 2nd International Conference on Computer Science and Engineering, UBMK 2017 -- 5 October 2017 through 8 October 2017 -- Antalya -- 1321161
9th International Conference on Electronics Computer and Computation (ICECCO 2012) -- NOV 01-03, 2012 -- Ankara, TURKEY1
CEUR Workshop Proceedings -- 7th Turkish National Software Engineering Symposium, UYMS 2013 -- 26 September 2013 -- Izmir -- 1111441
Current Page: 1 / 3

Scopus Quartile Distribution

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COAR Resource Type: text::conference output

Scholarly Output Search Results

Now showing 1 - 10 of 12
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    Conference Object
    Survey on the Usage of Digital Certificates in Ssl-Based Web Services
    (Turgut Ozal Univ, 2012) Yumsak, Ozkan; Bostan, Atila; Sekerci, Abdullah Sinan; Anameric, Munir
    Security of the communication on secure web services is provided with SSL (Secure Socket Layer) technology. SSL technology makes use of digital certificates and misuse of these digital certificates may cause security exploits. In this study, misuse ratio of certificates in university websites on the Internet is found out. To obtain this information, certificates which are used in the SSL web services are scanned. The conclusion of this study points out valid and invalid ratios of digital certificate usage in Internet based SSL web services.
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    Conference Object
    Citation - Scopus: 1
    Analyzing the Requirements for E-Government Transition of Iraqi Ics Services: an Iraqi Correction Services Case Study
    (Institute of Electrical and Electronics Engineers Inc., 2017) Alameri,M.A.; Bostan,A.; Akman,I.
    Iraqi Correction Services (ICS) is a department within the Ministry of Justice. Most services are provided through traditional paper and pen system. This system causes delays in service provision time and work over-load on ICS staff which translates into a high cost of service provision. E-government applications represent an opportunity to automate governmental services while improving both effectiveness and efficiency. This work presents the approach taken to determine the priority to automate ICS service from the perspective of service beneficiaries. The research is yet to be completed, however, up to this point we developed four different questionnaire-sets in order to collect the requirements from the shareholders, verified them and implemented the actual survey in the field. The experience gained throughout these steps and the future analysis plan is reported in this paper. © 2017 IEEE.
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    Yazilim Mühendisliʇi Eʇitiminde Bitirme Projesi Dersinin Öʇrenci Bakiş Açisiyla Deʇerlendirilmesi
    (CEUR-WS, 2013) Karakaya,M.; Bostan,A.
    [No abstract available]
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    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.
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    Conference Object
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    Conference Object
    Deep Learning and Current Trends in Machine Learning
    (Institute of Electrical and Electronics Engineers Inc., 2018) Bostan,A.; Ekin,C.; Sengul,G.; Karakaya,M.; Tirkes,G.
    Academic interest and commercial attention can be used to identify how much potential a novel technology may have. Since the prospective advantages in it may help solving some problems that are not solved yet or improving the performance of readily available ones. In this study, we have investigated the Web of Science (WOS) indexing service database for the publications on Deep Learning (DL), Machine Learning (ML), Convolutional Neural Networks (CNN), and Image Processing to reveal out the current trend. The figures indicate the strong potential in DL approach especially in image processing domain. © 2018 IEEE.
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    Conference Object
    Deep Learning and Current Trends in Machine Learning
    (Institute of Electrical and Electronics Engineers Inc., 2018) Bostan,A.; Ekin,C.; Sengul,G.; Karakaya,M.; Tirkes,G.
    Academic interest and commercial attention can be used to identify how much potential a novel technology may have. Since the prospective advantages in it may help solving some problems that are not solved yet or improving the performance of readily available ones. In this study, we have investigated the Web of Science (WOS) indexing service database for the publications on Deep Learning (DL), Machine Learning (ML), Convolutional Neural Networks (CNN), and Image Processing to reveal out the current trend. The figures indicate the strong potential in DL approach especially in image processing domain. © 2018 IEEE.
  • Thumbnail Image
    Conference Object
    Citation - WoS: 1
    Analyzing the Requirements for E-Government Transition of Iraqi Ics Services
    (Ieee, 2017) Alameri, Mohammed Abdulbasit; Bostan, Atila; Akman, Ibrahim
    Iraqi Correction Services (ICS) is a department within the Ministry of Justice. Most services are provided through traditional paper and pen system. This system causes delays in service provision lime and work over-load on ICS staff which translates into a high cost of service provision. E-government applications represent an opportunity to automate governmental services while improving both effectiveness and efficiency. This work presents the approach taken to determine the priority to automate ICS service from the perspective of service beneficiaries. The research is yet to be completed, however, up to this point we developed four different questionnaire-sets in order to collect the requirements from the shareholders, verified them and implemented the actual survey in the field. The experience gained throughout these steps and the future analysis plan is reported in this paper.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 2
    An Undergraduate Curriculum for Deep Learning
    (Institute of Electrical and Electronics Engineers Inc., 2018) Tirkes,G.; Ekin,C.C.; Engul,G.; Bostan,A.; Karakaya,M.
    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. © 2018 IEEE.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 2
    An Undergraduate Curriculum for Deep Learning
    (Institute of Electrical and Electronics Engineers Inc., 2018) Tirkes,G.; Ekin,C.C.; Engul,G.; Bostan,A.; Karakaya,M.
    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. © 2018 IEEE.