İlhan Aydın profile image
İlhan Aydın Prof. Dr. FIRAT ÜNİVERSİTESİ
Publication 25 Review 22 CrossRef Cited 21 TR Dizin Cited 17
25 Publication
22 Review
21 CrossRef Cited
17 TR Dizin Cited

Research Fields

Information and Computing Sciences

Institution

FIRAT ÜNİVERSİTESİ

Publications

0

56

0

194

Detection of Foreign Objects Around the Railway Line with YOLOv8
Published: 2023 , Computer Science
DOI: 10.53070/bbd.1346317
FAVORITE 0 TOTAL DOWNLOAD COUNT 323

0

323

0

82

0

408

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 581

0

581

0

590

0

957

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 456

0

456

Cloud based bearing fault diagnosis of induction motors
Published: 2021 , Computer Science
DOI: 10.53070/bbd.990814
FAVORITE 0 TOTAL DOWNLOAD COUNT 320

0

320

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 800

0

800

0

1854

0

1835

0

3874

0

1720

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 408

2

0

408

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 581

3

0

581

Classification of Railway Fasteners by Deep Learning Methods
DOI: 10.31590/ejosat.1029905
CITED 1 FAVORITE 0 TOTAL DOWNLOAD COUNT 590

1

0

590

1

0

957

2

0

766

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 456

1

0

456

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 800

5

0

800

1

0

834

4

0

2204

1

0

3874

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