A novel approach for image compression based on multi-level image thresholding using discrete wavelet transform and cricket algorithm. - Murat Canayaz; Ali Karci (SIU, 2015)

Cırcır böceği algoritması: Yeni bir meta-sezgisel yaklaşım ve uygulamaları (Cricket algorithm: A new meta-heuristic approach and applications) - Murat Canayaz (2015)

Neutrosophic set based image segmentation approach using cricket algorithm. - Murat Canayaz; Kazim Hanbay (INISTA, 2016)

Cricket behaviour-based evolutionary computation technique in solving engineering optimization problems. - Murat Canayaz; Ali Karci (Appl. Intell., 2016)

Training artificial neural network with Chaotic Cricket Algorithm. - Murat Canayaz; Recep Özdag (SIU, 2018)

MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images. - Murat Canayaz (Biomed. Signal Process. Control., 2021)

A new metaheuristic approach based on orbit in the multi-objective optimization of wireless sensor networks. - Recep Özdag; Murat Canayaz (Wirel. Networks, 2021)

Classification of diabetic retinopathy with feature selection over deep features using nature-inspired wrapper methods. - Murat Canayaz (Appl. Soft Comput., 2022)

COVID-19 diagnosis on CT images with Bayes optimization-based deep neural networks and machine learning algorithms. - Murat Canayaz; Sanem Sehribanoglu; Recep Özdag; Murat Demir (Neural Comput. Appl., 2022)

A comprehensive exploration of deep learning approaches for pulmonary nodule classification and segmentation in chest CT images. - Murat Canayaz; Sanem Sehribanoglu; Mesut Özgökçe; M. Bilal Akinci (Neural Comput. Appl., 2024)

Machine learning-based prediction of length of stay (LoS) in the neonatal intensive care unit using ensemble methods. - Ayse Erdogan Yildirim; Murat Canayaz (Neural Comput. Appl., 2024)