İlhan Aydın profile image
İlhan Aydın Prof. Dr. FIRAT ÜNİVERSİTESİ
Publication 25 Review 22 CrossRef Cited 22 TR Dizin Cited 17
25 Publication
22 Review
22 CrossRef Cited
17 TR Dizin Cited

Research Fields

Information and Computing Sciences

Institution

FIRAT ÜNİVERSİTESİ

Publications

0

67

0

221

Detection of Foreign Objects Around the Railway Line with YOLOv8
Published: 2023 , Computer Science
DOI: 10.53070/bbd.1346317
FAVORITE 0 TOTAL DOWNLOAD COUNT 354

0

354

0

83

0

425

Detection of Rail Surface Defects Based on Ensemble Learning of YOLOv5
Published: 2023 , Railway Engineering
DOI: 10.47072/demiryolu.1205483
FAVORITE 0 TOTAL DOWNLOAD COUNT 606

0

606

0

603

0

966

Detection of Defects in Railway Fasteners Using DCGAN and Siamese Neural Network
Published: 2022 , Railway Engineering
DOI: 10.47072/demiryolu.1015962
FAVORITE 0 TOTAL DOWNLOAD COUNT 463

0

463

Cloud based bearing fault diagnosis of induction motors
Published: 2021 , Computer Science
DOI: 10.53070/bbd.990814
FAVORITE 0 TOTAL DOWNLOAD COUNT 325

0

325

Detection of Defects in Railway Fasteners Using YOLOv4 and Fuzzy Logic
Published: 2021 , Railway Engineering
DOI: 10.47072/demiryolu.939830
FAVORITE 0 TOTAL DOWNLOAD COUNT 818

0

818

0

1895

0

1848

0

3890

0

1725

Publications

Rail Defect Detection with Explainable Artificial Intelligence Based Unsupervised Learning
Published: 2023 , Railway Engineering
DOI: 10.47072/demiryolu.1231751
CITED 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 425

2

0

425

Detection of Rail Surface Defects Based on Ensemble Learning of YOLOv5
Published: 2023 , Railway Engineering
DOI: 10.47072/demiryolu.1205483
CITED 3 FAVORITE 0 TOTAL DOWNLOAD COUNT 606

3

0

606

Classification of Railway Fasteners by Deep Learning Methods
DOI: 10.31590/ejosat.1029905
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 603

1

0

603

1

0

966

2

0

773

Detection of Defects in Railway Fasteners Using DCGAN and Siamese Neural Network
Published: 2022 , Railway Engineering
DOI: 10.47072/demiryolu.1015962
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 463

1

0

463

Detection of Defects in Railway Fasteners Using YOLOv4 and Fuzzy Logic
Published: 2021 , Railway Engineering
DOI: 10.47072/demiryolu.939830
CITED 5 FAVORITE 0 TOTAL DOWNLOAD COUNT 818

5

0

818

1

0

838

4

0

2210

2

0

3890

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