Kemal Akyol

According to our database, Kemal Akyol authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Comprehensive comparison of modified deep convolutional neural networks for automated detection of external and middle ear conditions.

Kemal Akyol

Neural Comput. Appl., April, 2024

A comprehensive comparison study of traditional classifiers and deep neural networks for forest fire detection.

Kemal Akyol

Clust. Comput., April, 2024

2023

YoDenBi-NET: YOLO + DenseNet + Bi-LSTM-based hybrid deep learning model for brain tumor classification.

Abdulkadir Karaci, Kemal Akyol

Neural Comput. Appl., June, 2023

Handling hypercolumn deep features in machine learning for rice leaf disease classification.

Kemal Akyol

Multim. Tools Appl., May, 2023

2021

Real-Time Turkish Sign Language Recognition Using Cascade Voting Approach with Handcrafted Features.

Abdülkadir Karaci, Kemal Akyol, Mehmet Ugur Turut

Appl. Comput. Syst., 2021

Plant leaf disease classification using EfficientNet deep learning model.

Ümit Atila, Murat Uçar, Kemal Akyol, Emine Uçar

Ecol. Informatics, 2021

Automated detection of Covid-19 disease using deep fused features from chest radiography images.

Emine Uçar, Ümit Atila, Murat Uçar, Kemal Akyol

Biomed. Signal Process. Control., 2021

2020

Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection.

Kemal Akyol

Expert Syst. Appl., 2020

Comparing of deep neural networks and extreme learning machines based on growing and pruning approach.

Kemal Akyol

Expert Syst. Appl., 2020

Assessing the importance of autistic attributes for autism screening.

Kemal Akyol

Expert Syst. J. Knowl. Eng., 2020

2017

Assessing the importance of features for detection of hard exudates in retinal images.

Kemal Akyol, Baha Sen, Safak Bayir, Hasan Basri Çakmak

Turkish J. Electr. Eng. Comput. Sci., 2017

2016

Diyabetik retinopatinin gerçek zamanlı tespiti için karar destek sistemi (A decision support system for diabetic retinopathy\'s real-time detection)

Kemal Akyol

PhD thesis, 2016

Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary Techniques.

Kemal Akyol, Baha Sen, Safak Bayir

Comput. Math. Methods Medicine, 2016

2015

Analysis of Demographic Characteristics Creating Coronary Artery Disease Susceptibility Using Random Forests Classifier.

Kemal Akyol, Elif Çalik, Safak Bayir, Baha Sen, Abdullah Çavusoglu

Proceedings of the 2015 International Conference on Soft Computing and Software Engineering, 2015