Muammer Turkoglu

According to our database, Muammer Turkoglu authored at least 24 papers between 2015 and 2024.

Collaborative distances:

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

2024

Multi-Stage Learning Framework Using Convolutional Neural Network and Decision Tree-Based Classification for Detection of DDoS Pandemic Attacks in SDN-Based SCADA Systems.

Onur Polat, Muammer Türkoglu, Huseyin Polat, Saadin Oyucu, Hüseyin Üzen, Fahri Yardimci, Ahmet Aksöz

Sensors, February, 2024

Ensemble Learning Framework for DDoS Detection in SDN-Based SCADA Systems.

Saadin Oyucu, Onur Polat, Muammer Türkoglu, Hüseyin Polat, Ahmet Aksöz, Mehmet Tevfik Agdas

Sensors, 2024

2023

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

Hüseyin Üzen, Muammer Turkoglu, Muzaffer Aslan, Davut Hanbay

Vis. Comput., May, 2023

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

Huseyin Uzen, Muammer Turkoglu, Davut Hanbay

Neural Comput. Appl., February, 2023

2022

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

Muammer Turkoglu, Berrin A. Yanikoglu, Davut Hanbay

Signal Image Video Process., 2022

Forecasting of medical equipment demand and outbreak spreading based on deep long short-term memory network: the COVID-19 pandemic in Turkey.

Erdinç Koç, Muammer Türkoglu

Signal Image Video Process., 2022

Dental Material Detection based on Faster Regional Convolutional Neural Networks and Shape Features.

Andac Imak, Adalet Celebi, Muammer Türkoglu, Abdulkadir Sengür

Neural Process. Lett., 2022

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

Muammer Turkoglu, Davut Hanbay, Abdulkadir Sengür

J. Ambient Intell. Humaniz. Comput., 2022

Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects.

Hüseyin Üzen, Muammer Türkoglu, Berrin A. Yanikoglu, Davut Hanbay

Expert Syst. Appl., 2022

Recognition of DDoS attacks on SD-VANET based on combination of hyperparameter optimization and feature selection.

Muammer Türkoglu, Hüseyin Polat, Cemal Koçak, Onur Polat

Expert Syst. Appl., 2022

A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks.

Hüseyin Polat, Muammer Türkoglu, Onur Polat, Abdulkadir Sengür

Expert Syst. Appl., 2022

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

Andac Imak, Adalet Celebi, Kamran Siddique, Muammer Turkoglu, Abdulkadir Sengür, Iftekhar Salam

IEEE Access, 2022

2021

A multi-division convolutional neural network-based plant identification system.

Muammer Turkoglu, Muzaffer Aslan, Ali Ari, Zeynep Mine Alçin, Davut Hanbay

PeerJ Comput. Sci., 2021

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

Huseyin Uzen, Muammer Turkoglu, Davut Hanbay

Expert Syst. Appl., 2021

Defective egg detection based on deep features and Bidirectional Long-Short-Term-Memory.

Muammer Turkoglu

Comput. Electron. Agric., 2021

Deep rhythm and long short term memory-based drowsiness detection.

Muammer Turkoglu, Omer F. Alcin, Muzaffer Aslan, Adel Al-Zebari, Abdulkadir Sengür

Biomed. Signal Process. Control., 2021

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

Muammer Turkoglu

Appl. Intell., 2021

Surface Defect Detection Using Deep U-Net Network Architectures.

Hüseyin Üzen, Muammer Türkoglu, Davut Hanbay

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2020

Deep network approach with stacked sparse autoencoders in detection of DDoS attacks on SDN-based VANET.

Huseyin Polat, Muammer Turkoglu, Onur Polat

IET Commun., 2020

2019

Görüntü işleme tabanlı bitki türleri ve hastalıkları tanıma (Image processing based plant species and diseases recognition)

Muammer Türkoglu

PhD thesis, 2019

Plant disease and pest detection using deep learning-based features.

Muammer Turkoglu, Davut Hanbay

Turkish J. Electr. Eng. Comput. Sci., 2019

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

Muammer Turkoglu, Davut Hanbay

Appl. Math. Comput., 2019

Plant Recognition System based on Deep Features and Color-LBP method.

Muammer Turkoglu, Davut Hanbay

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

2015

Classification of the grape varieties based on leaf recognition by using SVM classifier.

Muammer Turkoglu, Davut Hanbay

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015