Akademisyen profili · DOÇENT
YILMAZ KAYA
- Ana Dal Mühendislik Temel Alanı
- Yan Dal Bilgisayar Bilimleri ve Mühendisliği
- MÜHENDİSLİK-MİMARLIK FAKÜLTESİ
- BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ
Scopus (SJR)
Q1
15
Q2
18
Q3
18
Q4
1
WoS (JCR)
Q1
7
Q2
14
Q3
15
Q4
19
TR Index
25
makale
Makaleler
- 2024 Enhancing CNN model classification performance through RGB angle rotation method
- 2024 RGB-Angle-Wheel: A new data augmentation method for deep learning models
- 2024 A new approach for heart disease detection using Motif transform-based CWT’s time-frequency images with DenseNet deep transfer learning methods
- 2024 A new local pooling approach for convolutional neural network: local binary pattern
- 2024 An efficient approach based on a novel 1D-LBP for the detection of bearing failures with a hybrid deep learning method
- 2024 Comparing of brain tumor diagnosis with developed local binary patterns methods
- 2024 Diagnosing bearing fault location, size, and rotational speed with entropy variables using extreme learning machine
- 2024 Classification of CNC Vibration Speeds by Heralick Features
- 2024 A Novel Approach for Arrhythmia Classification Using CI-1D-LBP with LSTM, 1D-CNN and GRU Models
- 2023 A new approach for remaining useful life prediction of bearings using 1D-ternary patterns with LSTM
- 2023 GENDER IDENTIFICATION FROM LEFT HAND-WRIST X-RAY IMAGES WITH A HYBRID DEEP LEARNING METHOD
- 2023 Using Artificial Intelligence Methods for Detection of HCV-Caused Diseases
- 2022 A new approach for congestive heart failure and arrhythmia classification using downsampling local binary patterns with LSTM
- 2022 A hybrid model for classification of medical data set based on factor analysis and extreme learning machine: FA + ELM
- 2022 A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM
- 2022 A new approach to COVID-19 detection from X-ray images using angle transformation with GoogleNet and LSTM.
- 2022 A New Approach for Congestive Heart Failure and Arrhythmia Classification Using Angle Transformation with LSTM
- 2022 A hybrid model for classification of medical data set based on factor analysis and extreme learning machine: FA + ELM
- 2022 A New Approach for Congestive Heart Failure and Arrhythmia Classification Using Angle Transformation with LSTM
- 2022 A new automatic bearing fault size diagnosis using time-frequency images of CWT and deep transfer learning methods