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Kenan Kılıç Asst. Prof. Dr. YOZGAT BOZOK ÜNİVERSİTESİ
Publication 10 Review 17 CrossRef Cited 7 TR Dizin Cited 1
10 Publication
17 Review
7 CrossRef Cited
1 TR Dizin Cited

Research Fields

Deep Learning Wood Physics and Mechanics Artificial Intelligence (Other) Wooden Buildings and Constructions Machine Learning Algorithms Wood Protection Technology Wood Based Composites Wood Processing

Institution

YOZGAT BOZOK ÜNİVERSİTESİ

Popular Publications

Varnish Adhesion Strength in Natural Aged Wood Material
Published: 2023 , Journal of Polytechnic
DOI: 10.2339/politeknik.1072314
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 1433

2

1

1433

Publications

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329

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261

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321

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265

Using Deep Learning Techniques Furniture Image Classification
Published: 2024 , Journal of Polytechnic
DOI: 10.2339/politeknik.1315328
FAVORITE 0 TOTAL DOWNLOAD COUNT 2374

0

2374

0

614

Varnish Adhesion Strength in Natural Aged Wood Material
Published: 2023 , Journal of Polytechnic
DOI: 10.2339/politeknik.1072314
FAVORITE 1 TOTAL DOWNLOAD COUNT 1433

1

1433

Surface Hardness of Three Types Varnish Applied to Fresh and Naturally Aged Wood
Authors: Kenan Kılıç , Cevdet Söğütlü
DOI: 10.17475/kastorman.1179043
FAVORITE 0 TOTAL DOWNLOAD COUNT 1272

0

1272

The Determination of Gloss Values of Some Varnishes Applied on the Natural Aged Wood
Published: 2020 , Journal of Polytechnic
DOI: 10.2339/politeknik.764261
FAVORITE 0 TOTAL DOWNLOAD COUNT 1142

0

1142

Publications

Using Deep Learning Techniques Furniture Image Classification
Published: 2024 , Journal of Polytechnic
DOI: 10.2339/politeknik.1315328
CITED 3 FAVORITE 0 TOTAL DOWNLOAD COUNT 2374

3

0

2374

Varnish Adhesion Strength in Natural Aged Wood Material
Published: 2023 , Journal of Polytechnic
DOI: 10.2339/politeknik.1072314
CITED 2 FAVORITE 1 TOTAL DOWNLOAD COUNT 1433

2

1

1433

The Determination of Gloss Values of Some Varnishes Applied on the Natural Aged Wood
Published: 2020 , Journal of Polytechnic
DOI: 10.2339/politeknik.764261
CITED 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 1142

2

0

1142