Muammer Turkoglu
Orcid: 0000-0002-2377-4979
According to our database1,
Muammer Turkoglu
authored at least 26 papers
between 2015 and 2024.
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Bibliography
2024
A novel hybrid attention gate based on vision transformer for the detection of surface defects.
Signal Image Video Process., September, 2024
Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi-channel feature extraction and selection.
Int. J. Imaging Syst. Technol., May, 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.
Sensors, February, 2024
Sensors, 2024
2023
Depth-wise Squeeze and Excitation Block-based Efficient-Unet model for surface defect detection.
Vis. Comput., May, 2023
Multi-dimensional feature extraction-based deep encoder-decoder network for automatic surface defect detection.
Neural Comput. Appl., February, 2023
2022
PlantDiseaseNet: convolutional neural network ensemble for plant disease and pest detection.
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.
Signal Image Video Process., 2022
Dental Material Detection based on Faster Regional Convolutional Neural Networks and Shape Features.
Neural Process. Lett., 2022
Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests.
J. Ambient Intell. Humaniz. Comput., 2022
Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects.
Expert Syst. Appl., 2022
Recognition of DDoS attacks on SD-VANET based on combination of hyperparameter optimization and feature selection.
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.
Expert Syst. Appl., 2022
Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network.
IEEE Access, 2022
2021
PeerJ Comput. Sci., 2021
Texture defect classification with multiple pooling and filter ensemble based on deep neural network.
Expert Syst. Appl., 2021
Defective egg detection based on deep features and Bidirectional Long-Short-Term-Memory.
Comput. Electron. Agric., 2021
Biomed. Signal Process. Control., 2021
COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble.
Appl. Intell., 2021
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.
IET Commun., 2020
2019
Görüntü işleme tabanlı bitki türleri ve hastalıkları tanıma (Image processing based plant species and diseases recognition)
PhD thesis, 2019
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.
Appl. Math. Comput., 2019
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.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015