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Academician profile · DOÇENT

YILMAZ KAYA

BATMAN ÜNİVERSİTESİ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal Bilgisayar Bilimleri ve Mühendisliği
  • MÜHENDİSLİK-MİMARLIK FAKÜLTESİ
  • BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ
Articles YÖKSİS 92
Projects 1
Books 0
Proceedings 98
Patents 1
Artistic 1
Scopus (SJR)
Q1 15 Q2 18 Q3 18 Q4 1
WoS (JCR)
Q1 7 Q2 14 Q3 15 Q4 19
TR Index 25 articles

Scopus (SJR)

WoS (JCR)

TR Index

25 articles

92 publications total

Articles

  1. 2024 Enhancing CNN model classification performance through RGB angle rotation method Neural Computing and Applications DOI 10.1007/s00521-024-10232-z
  2. 2024 RGB-Angle-Wheel: A new data augmentation method for deep learning models Knowledge-Based Systems DOI 10.1016/j.knosys.2024.111615
  3. 2024 A new approach for heart disease detection using Motif transform-based CWT’s time-frequency images with DenseNet deep transfer learning methods Biomedical Engineering / Biomedizinische Technik DOI 10.1515/bmt-2023-0580
  4. 2024 A new local pooling approach for convolutional neural network: local binary pattern Multimedia Tools and Applications DOI 10.1007/s11042-023-17540-x
  5. 2024 An efficient approach based on a novel 1D-LBP for the detection of bearing failures with a hybrid deep learning method Applied Soft Computing DOI 10.1016/j.asoc.2024.111438
  6. 2024 Comparing of brain tumor diagnosis with developed local binary patterns methods Neural Computing and Applications DOI https://link.springer.com/article/10.1007/s00521-024-09476-6
  7. 2024 Diagnosing bearing fault location, size, and rotational speed with entropy variables using extreme learning machine Journal of the Brazilian Society of Mechanical Sciences and Engineering DOI 10.1007/s40430-023-04567-2
  8. 2024 Classification of CNC Vibration Speeds by Heralick Features Journal of Universal Computer Science DOI 10.3897/jucs.106543
  9. 2024 A Novel Approach for Arrhythmia Classification Using CI-1D-LBP with LSTM, 1D-CNN and GRU Models Bitlis Eren Üniversitesi Fen Bilimleri Dergisi DOI 10.17798/bitlisfen.1542941
  10. 2023 A new approach for remaining useful life prediction of bearings using 1D-ternary patterns with LSTM Journal of the Brazilian Society of Mechanical Sciences and Engineering DOI 10.1007/s40430-023-04309-4
  11. 2023 GENDER IDENTIFICATION FROM LEFT HAND-WRIST X-RAY IMAGES WITH A HYBRID DEEP LEARNING METHOD Konya Journal of Engineering Sciences DOI 10.36306/konjes.1294139
  12. 2023 Using Artificial Intelligence Methods for Detection of HCV-Caused Diseases Journal of Engineering Technology and Applied Sciences DOI 10.30931/jetas.1216025
  13. 2022 A new approach for congestive heart failure and arrhythmia classification using downsampling local binary patterns with LSTM Turkish Journal of Electrical Engineering and Computer Sciences DOI 10.55730/1300-0632.3930
  14. 2022 A hybrid model for classification of medical data set based on factor analysis and extreme learning machine: FA + ELM Biomedical Signal Processing and Control DOI 10.1016/j.bspc.2022.104023
  15. 2022 A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM Measurement Science and Technology DOI 10.1088/1361-6501/ac8ca4
  16. 2022 A new approach to COVID-19 detection from X-ray images using angle transformation with GoogleNet and LSTM. Measurement Science and Technology DOI 10.1088/1361-6501/ac8ca4
  17. 2022 A New Approach for Congestive Heart Failure and Arrhythmia Classification Using Angle Transformation with LSTM Arabian Journal for Science and Engineering DOI 10.1007/s13369-022-06617-8
  18. 2022 A hybrid model for classification of medical data set based on factor analysis and extreme learning machine: FA + ELM Biomedical Signal Processing and Control DOI 10.1016/j.bspc.2022.104023
  19. 2022 A New Approach for Congestive Heart Failure and Arrhythmia Classification Using Angle Transformation with LSTM Arabian Journal for Science and Engineering DOI 10.1007/s13369-022-06617-8
  20. 2022 A new automatic bearing fault size diagnosis using time-frequency images of CWT and deep transfer learning methods Turkish Journal of Electrical Engineering and Computer Sciences DOI 10.55730/1300-0632.3909

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