M. Turkoglu

发表

PlantDiseaseNet: convolutional neural network ensemble for plant disease and pest detection

Davut Hanbay, Muammer Turkoglu, Berrin Yanikoğlu, 2021, Signal, Image and Video Processing.

COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble

Muammer Turkoglu, M. Turkoglu, 2020, Applied Intelligence.

Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests

Muammer Turkoglu, Davut Hanbay, Abdulkadir Sengur, 2019, Journal of Ambient Intelligence and Humanized Computing.

Plant disease and pest detection using deep learning-based features

Davut Hanbay, Muammer Türkoğlu, D. Hanbay, 2019, Turkish J. Electr. Eng. Comput. Sci..

Depth-wise Squeeze and Excitation Block-based Efficient-Unet model for surface defect detection

D. Hanbay, Muammer Turkoglu, Muzaffer Aslan, 2022, The Visual Computer.

Texture defect classification with multiple pooling and filter ensemble based on deep neural network

Davut Hanbay, Muammer Turkoglu, Huseyin Uzen, 2021, Expert Syst. Appl..

COVID-19 Detection System Using Chest CT Images and Multiple Kernels-Extreme Learning Machine Based on Deep Neural Network

Muammer Turkoglu, M. Turkoglu, 2021, IRBM.

Multi-dimensional feature extraction-based deep encoder–decoder network for automatic surface defect detection

D. Hanbay, M. Turkoglu, Huseyin Uzen, 2022, Neural Computing and Applications.

Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network

A. Şengur, Iftekhar Salam, Muammer Turkoglu, 2022, IEEE Access.

Recognition of plant leaves: An approach with hybrid features produced by dividing leaf images into two and four parts

Muammer Turkoglu, Davut Hanbay, D. Hanbay, 2019, Appl. Math. Comput..

Leaf-based plant species recognition based on improved local binary pattern and extreme learning machine

Muammer Turkoglu, Davut Hanbay, D. Hanbay, 2019, Physica A: Statistical Mechanics and its Applications.

A new pyramidal concatenated CNN approach for environmental sound classification

Abdulkadir Sengur, Fatih Demir, Muammer Turkoglu, 2020 .