Bostan, Atila

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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

2

ZERO HUNGER
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0

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11

SUSTAINABLE CITIES AND COMMUNITIES
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1

Research Products

14

LIFE BELOW WATER
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0

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6

CLEAN WATER AND SANITATION
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1

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1

NO POVERTY
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0

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5

GENDER EQUALITY
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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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0

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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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6

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17

PARTNERSHIPS FOR THE GOALS
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0

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15

LIFE ON LAND
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10

REDUCED INEQUALITIES
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0

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7

AFFORDABLE AND CLEAN ENERGY
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1

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8

DECENT WORK AND ECONOMIC GROWTH
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4

QUALITY EDUCATION
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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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3

GOOD HEALTH AND WELL-BEING
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1

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13

CLIMATE ACTION
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This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

37

Articles

16

Views / Downloads

136/1152

Supervised MSc Theses

6

Supervised PhD Theses

3

WoS Citation Count

15

Scopus Citation Count

16

WoS h-index

2

Scopus h-index

3

Patents

0

Projects

0

WoS Citations per Publication

0.41

Scopus Citations per Publication

0.43

Open Access Source

2

Supervised Theses

9

Google Analytics Visitor Traffic

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
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Subject: Current Trends

Scholarly Output Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    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
    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
    Deep Learning and Current Trends in Machine Learning
    (Ieee, 2018) Bostan, Atila; Sengul, Gokhan; Tirkes, Guzin; Ekin, Cansu; Karakaya, Murat
    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.