Yazar "Yıldırım, Muhammed" için listeleme
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Automatic Diagnosis of Snoring Sounds with the Developed Artificial Intelligence-based Hybrid Model
Yıldırım,Muhammed (Turkish Journal of Science and Technology, 2022)Sleep patterns and sleep continuity have a great impact on people's quality of life. The sound of snoring both reduces the sleep quality of the snorer and disturbs other people in the environment. Interpretation of sleep ... -
Classification of the weather images with the proposed hybrid model using deep learning, SVM classifier, and mRMR feature selection methods
Yildirim, Muhammed; Çinar, Ahmet; Cengil, Emine (2022)As in many fields, the use of artificial intelligence methods in the classification of weather images will be very useful. In this study, a data set consisting of five classes such as cloudy, foggy, rainy, shine, and sunrise ... -
COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers
Yıldırım, Muhammed; Eroğlu, Orkun; Eroğlu,Yeşim; Çınar, Ahmet; Cengil, Emine (Springer, 2022)Coronavirus disease-2019 (COVID-19) is a serious infectious disease that is spreading rapidly all over the world. Scientists are looking for alternative diagnostic methods to detect and control the disease early. Artifcial ... -
Diagnosis and grading of vesicoureteral reflux on voiding cystourethrography images in children using a deep hybrid model
Eroğlu, Yeşim; Yıldırım, Kadir; Çınar, Ahmet; Yıldırım, Muhammed (Elsevier, 2021)Background and objective Vesicoureteral reflux is the leakage of urine from the bladder into the ureter. As a result, urinary tract infections and kidney scarring can occur in children. Voiding cystourethrography is the ... -
Is it useful to use computerized tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma?
Eroğlu, Orkun; Eroğlu, Yeşim; Yıldırım, Muhammed; Karlıdağ, Turgut; Çınar, Ahmet; Akyiğit, Abdulvahap; Kaygusuz, İrfan; Yıldırım, Hanefi; Keleş, Erol; Yalçın, Şinasi (Elsevier B.V. All, 2022)Cholesteatoma is an aggressive form of chronic otitis media (COM). For this reason, it is important to distinguish between COM with and without cholesteatoma. In this study, the role of artificial intelligence modelling ...