İlhan Aydın profile image
İlhan Aydın Prof. Dr. FIRAT ÜNİVERSİTESİ
Publication 25 Review 22 CrossRef Cited 20 TR Dizin Cited 9
25 Publication
22 Review
20 CrossRef Cited
9 TR Dizin Cited

Research Fields

Information and Computing Sciences

Institution

FIRAT ÜNİVERSİTESİ

Publications

0

35

0

163

Detection of Foreign Objects Around the Railway Line with YOLOv8
Published: 2023 , Computer Science
DOI: 10.53070/bbd.1346317
FAVORITE 0 TOTAL DOWNLOAD COUNT 294

0

294

0

77

0

369

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 549

0

549

0

583

0

937

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 442

0

442

Cloud based bearing fault diagnosis of induction motors
Published: 2021 , Computer Science
DOI: 10.53070/bbd.990814
FAVORITE 0 TOTAL DOWNLOAD COUNT 309

0

309

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 783

0

783

0

1807

0

1829

0

3862

0

1707

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 369

2

0

369

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 549

3

0

549

Classification of Railway Fasteners by Deep Learning Methods
DOI: 10.31590/ejosat.1029905
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 583

1

0

583

1

0

937

1

0

749

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 442

1

0

442

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 783

5

0

783

1

0

817

4

0

2189

1

0

3862

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