Muhammed Yildirim
Orcid: 0000-0003-1866-4721
According to our database1,
Muhammed Yildirim
authored at least 31 papers
between 2003 and 2024.
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Bibliography
2024
Automated deep feature fusion based approach for the classification of multiclass rice diseases.
Iran J. Comput. Sci., March, 2024
A new hybrid approach based on AOA, CNN and feature fusion that can automatically diagnose Parkinson's disease from sound signals: PDD-AOA-CNN.
Signal Image Video Process., 2024
Advanced convolutional neural network modeling for fuel cell system optimization and efficiency in methane, methanol, and diesel reforming.
PeerJ Comput. Sci., 2024
Multi-feature fusion and dandelion optimizer based model for automatically diagnosing the gastrointestinal diseases.
PeerJ Comput. Sci., 2024
2023
Detection and classification of glioma, meningioma, pituitary tumor, and normal in brain magnetic resonance imaging using deep learning-based hybrid model.
Iran J. Comput. Sci., December, 2023
Classification of the images (Plant-21) in the dataset created with 21 different Euphorbia Taxons with the developed AI-based hybrid model.
Signal Image Video Process., November, 2023
Diagnosis of periventricular leukomalacia in children with artificial intelligence-based models developed using brain magnetic resonance images.
Signal Image Video Process., November, 2023
Classification of computerized tomography images to diagnose non-small cell lung cancer using a hybrid model.
Multim. Tools Appl., September, 2023
Classification of satellite images for ecology management using deep features obtained from convolutional neural network models.
Iran J. Comput. Sci., September, 2023
Multi-feature fusion and improved BO and IGWO metaheuristics based models for automatically diagnosing the sleep disorders from sleep sounds.
Comput. Biol. Medicine, May, 2023
Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, Relief, and gradient-weighted class activation mapping based deep hybrid model.
Int. J. Imaging Syst. Technol., March, 2023
Automatic classification of kidney CT images with relief based novel hybrid deep model.
PeerJ Comput. Sci., 2023
2022
COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers.
New Gener. Comput., 2022
Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET.
Int. J. Imaging Syst. Technol., 2022
mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images.
Int. J. Imaging Syst. Technol., 2022
Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid-based deep models.
Int. J. Imaging Syst. Technol., 2022
ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis.
Int. J. Imaging Syst. Technol., 2022
Automatic classification and diagnosis of heart valve diseases using heart sounds with MFCC and proposed deep model.
Concurr. Comput. Pract. Exp., 2022
A hybrid approach for efficient multi-classification of white blood cells based on transfer learning techniques and traditional machine learning methods.
Concurr. Comput. Pract. Exp., 2022
2021
Derin öğrenme yöntemleri kullanılarak görüntüler üzerinde insan hareketlerinin ve hastalıklarının sınıflandırılması (Classification of human movements and diseases on images using deep learning methods)
PhD thesis, 2021
Traitement du Signal, 2021
Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model.
Comput. Methods Programs Biomed., 2021
A new model for classification of human movements on videos using convolutional neural networks: MA-Net.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR.
Comput. Biol. Medicine, 2021
2020
Traitement du Signal, 2020
Ingénierie des Systèmes d Inf., 2020
Ingénierie des Systèmes d Inf., 2020
2019
Rev. d'Intelligence Artif., 2019
2017
Considerations in applying compressed sensing to in vivo phosphorus MR spectroscopic imaging of human brain at 3T.
Medical Biol. Eng. Comput., 2017
2014
Classification of phosphorus magnetic resonance spectroscopic imaging of brain tumors using support vector machine and logistic regression at 3T.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2003
Proceedings of the Mathematical Systems Theory in Biology, 2003