Mehmet Ali Kobat
Orcid: 0000-0002-2217-2925
According to our database1,
Mehmet Ali Kobat authored at least 8 papers
between 2021 and 2026.
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Bibliography
2026
Detection of occluded coronary arteries in non-ST-elevation myocardial infarction (NSTEMI) patients with deep learning models and ReliefF-based weighted subspace SVM ensembles (RBWSSE) algorithm.
PeerJ Comput. Sci., 2026
2024
Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds.
Neural Comput. Appl., September, 2024
Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection.
Multim. Tools Appl., April, 2024
2023
Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images.
Int. J. Imaging Syst. Technol., July, 2023
Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals.
Int. J. Mach. Learn. Cybern., May, 2023
2022
An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds.
Comput. Biol. Medicine, 2022
2021
PrismatoidPatNet54: An Accurate ECG Signal Classification Model Using Prismatoid Pattern-Based Learning Architecture.
Symmetry, 2021
Soft Comput., 2021