Tora, Hakan

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Name Variants
Tora,H.
T., Hakan
Tora, Hakan
H., Tora
H.,Tora
T.,Hakan
Hakan, Tora
Job Title
Doktor Öğretim Üyesi
Email Address
hakan.tora@atilim.edu.tr
Main Affiliation
Airframe and Powerplant Maintenance
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

14

LIFE BELOW WATER
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1

Research Products

2

ZERO HUNGER
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0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
SUSTAINABLE CITIES AND COMMUNITIES Logo

1

Research Products

1

NO POVERTY
NO POVERTY Logo

0

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
RESPONSIBLE CONSUMPTION AND PRODUCTION Logo

0

Research Products

7

AFFORDABLE AND CLEAN ENERGY
AFFORDABLE AND CLEAN ENERGY Logo

2

Research Products

5

GENDER EQUALITY
GENDER EQUALITY Logo

0

Research Products

3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo

1

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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0

Research Products

13

CLIMATE ACTION
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2

Research Products

6

CLEAN WATER AND SANITATION
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0

Research Products

10

REDUCED INEQUALITIES
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0

Research Products

4

QUALITY EDUCATION
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0

Research Products

15

LIFE ON LAND
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0

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

Research Products

17

PARTNERSHIPS FOR THE GOALS
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1

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
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0

Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

57

Articles

11

Views / Downloads

2/0

Supervised MSc Theses

14

Supervised PhD Theses

5

WoS Citation Count

57

Scopus Citation Count

88

WoS h-index

5

Scopus h-index

5

Patents

0

Projects

0

WoS Citations per Publication

1.00

Scopus Citations per Publication

1.54

Open Access Source

7

Supervised Theses

19

Google Analytics Visitor Traffic

JournalCount
2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings -- 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 -- 23 April 2014 through 25 April 2014 -- Trabzon -- 1060533
22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY3
ICECS 2017 - 24th IEEE International Conference on Electronics, Circuits and Systems -- 24th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2017 -- 5 December 2017 through 8 December 2017 -- Batumi -- 1346752
24th IEEE International Conference on Electronics, Circuits and Systems (ICECS) -- DEC 05-08, 2017 -- Batumi, GEORGIA2
24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY2
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Scholarly Output Search Results

Now showing 1 - 3 of 3
  • Conference Object
    Citation - WoS: 1
    Recognition of Hand-Sketched Digital Logic Gates
    (Ieee, 2015) Gul, Nuray; Tora, Hakan
    Hand-Sketched circuit recognition is a very useful tool in engineering area. Because most of the engineers prefer to design their circuits on the paper firstly. So, this can cause time wasting and some mistakes. In this study, which is based on the solving these kinds of problems, classification and recognition of the handwritten digital logic gates according to their complex and scalar FDs (Fourier Descriptors) is presented. Test results are obtained as 84.3 % accuracy rate for complex FDs, 98.6 % for scalar FDs. Then these results are compared and decided the optimum FDs type for this study.
  • Conference Object
    Citation - Scopus: 2
    Recognition of Hand-Sketched Digital Logic Gates;
    (Institute of Electrical and Electronics Engineers Inc., 2015) Gül,N.; Tora,H.
    Hand-Sketched circuit recognition is a very useful tool in engineering area. Because most of the engineers prefer to design their circuits on the paper firstly. So, this can cause time wasting and some mistakes. In this study, which is based on the solving these kinds of problems, classification and recognition of the handwritten digital logic gates according to their complex and scalar FDs (Fourier Descriptors) is presented. Test results are obtained as 84.3 % accuracy rate for complex FDs, 98.6 % for scalar FDs. Then these results are compared and decided the optimum FDs type for this study. © 2015 IEEE.
  • Conference Object
    Citation - WoS: 1
    Lip Shape Based Emotion Identification
    (Ieee, 2016) Gul, Nuray; Tora, Hakan
    Emotion recognition systems have an important role to play in the human-computer interactive applications (HCI). These systems are using facial features of face images and they are verifying or identifying the emotions. In this study, emotion identification algorithms are improved by using just mouth region features of a face. Region of interest (mouth region) is detected by Viola-Jones algorithms from video frames which are including different emotional face expressions. Outer boundaries of lip shapes are extracted by manually and calculated the scalar Fourier Descriptors (FDs) of the boundaries. Classification and recognition of the emotions is presented according to scalar FDs of lip contours. Test results are obtained as 93.9 % accuracy rate for scalar FDs.