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

2

ZERO HUNGER
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0

Research Products

14

LIFE BELOW WATER
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1

Research Products

17

PARTNERSHIPS FOR THE GOALS
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1

Research Products

5

GENDER EQUALITY
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0

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
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0

Research Products

4

QUALITY EDUCATION
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0

Research Products

6

CLEAN WATER AND SANITATION
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0

Research Products

7

AFFORDABLE AND CLEAN ENERGY
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2

Research Products

10

REDUCED INEQUALITIES
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0

Research Products

11

SUSTAINABLE CITIES AND COMMUNITIES
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1

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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0

Research Products

1

NO POVERTY
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0

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3

GOOD HEALTH AND WELL-BEING
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1

Research Products

12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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0

Research Products

13

CLIMATE ACTION
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2

Research Products

15

LIFE ON LAND
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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 - 2 of 2
  • Conference Object
    An Approach for Perceptual Similarity Detection Between Audios Independent of Genre Via Metadata Extraction and Correlation
    (Ieee, 2007) Komsu, Fatma; Tora, Hakan; Oeztoprak, Kasim; Tora, Hakan; Tora, Hakan; Airframe and Powerplant Maintenance; Airframe and Powerplant Maintenance
    This study presents an approach for perceptual similarity detection between audios independent of genre. The study is formed of three phases; signal pre-processing as the first phase, metadata extraction via various perceptually compatible features as the second phase, and correlation methodology for similarity identification as the third phase. The performance and relative importance of the selected features for perceptual similarity analysis are presented, as testing results. Moreover, relative importance of preprocessing is introduced. Using the proposed methodology, perceptual similarity detection between genre independent audios is achieved with a 96.85% performance. Contribution highly lies on the independency of genre.
  • Conference Object
    An Approach for Perceptual Similarity Detection Between Audios Independent of Genre Via Metadata Extraction and Correlation;
    (2007) Komsu,F.; Öztoprak,K.; Tora,H.
    This study presents an approach for perceptual similarity detection between audios independent of genre. The study is formed of three phases; signal pre-processing as the first phase, metadata extraction via various perceptually compatible features as the second phase, and correlation methodology for similarity identification as the third phase. The performance and relative importance of the selected features for perceptual similarity analysis are presented as testing results. Moreover, relative importance of preprocessing is introduced. Using the proposed methodology, perceptual similarity detection between genre independent audios is achieved with a 96.85% performance. Contribution highly lies on the independency of genre.