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Muhammed Fatih Talu Prof. Dr. İNÖNÜ ÜNİVERSİTESİ
Publication 36 Review 9 CrossRef Cited 32 TR Dizin Cited 21
36 Publication
9 Review
32 CrossRef Cited
21 TR Dizin Cited

Research Fields

Image Processing Machine Learning Artificial Intelligence

Institution

İNÖNÜ ÜNİVERSİTESİ

Publications

0

69

0

61

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265

Automatic High-Resolution Mustache Pattern Synthesis From Denim Fabric
Published: 2022 , Computer Science
DOI: 10.53070/bbd.1173565
FAVORITE 0 TOTAL DOWNLOAD COUNT 227

0

227

CNN-Based Fabric Defect Detection System on Loom Fabric Inspection
Published: 2022 , Textile and Apparel
DOI: 10.32710/tekstilvekonfeksiyon.1032529
FAVORITE 0 TOTAL DOWNLOAD COUNT 1321

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1321

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225

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320

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294

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443

0

738

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822

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686

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357

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2945

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2960

Comparison of Methods for Determining Activity from Physical Movements
Published: 2021 , Journal of Polytechnic
DOI: 10.2339/politeknik.632070
FAVORITE 0 TOTAL DOWNLOAD COUNT 1062

0

1062

Comparative Analysis of Dimension Reduction Methods
DOI: 10.46810/tdfd.707200
FAVORITE 0 TOTAL DOWNLOAD COUNT 3434

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3434

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6301

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8615

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2101

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906

Comparision of Automatic and Interactive Segmentatition Methods
Authors: Serdar Alasu, Muhammed Fatih Talu
Published: 2016 , Computer Science
DOI: -
FAVORITE 0 TOTAL DOWNLOAD COUNT 984

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984

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669

Publications

2

0

249

CNN-Based Fabric Defect Detection System on Loom Fabric Inspection
Published: 2022 , Textile and Apparel
DOI: 10.32710/tekstilvekonfeksiyon.1032529
CITED 4 FAVORITE 0 TOTAL DOWNLOAD COUNT 1321

4

0

1321

1

0

383

1

0

738

Cancer Detection and Location Methods in Histopathological Images
DOI: 10.31590/ejosat.888836
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 2945

1

0

2945

1

0

2960

Comparison of Methods for Determining Activity from Physical Movements
Published: 2021 , Journal of Polytechnic
DOI: 10.2339/politeknik.632070
CITED 3 FAVORITE 0 TOTAL DOWNLOAD COUNT 1062

3

0

1062

Comparative Analysis of Dimension Reduction Methods
DOI: 10.46810/tdfd.707200
CITED 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 3434

2

0

3434

5

0

6301

8

0

2101

1

0

3311

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