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ORCIDMuammer Turkoglu
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2020 – today
- 2024
[j22]Mehmet Emre Sertkaya
, Burhan Ergen, Muammer Türkoglu, Özgür Tonkal:
Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi-channel feature extraction and selection. Int. J. Imaging Syst. Technol. 34(3) (2024)- [j21]Saadin Oyucu, Onur Polat, Muammer Türkoglu, Hüseyin Polat, Ahmet Aksöz, Mehmet Tevfik Agdas:
Ensemble Learning Framework for DDoS Detection in SDN-Based SCADA Systems. Sensors 24(1): 155 (2024) - [j20]Onur Polat, Muammer Türkoglu, Huseyin Polat, Saadin Oyucu, Hüseyin Üzen, Fahri Yardimci, Ahmet Aksöz:
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 24(3): 1040 (2024) - [j19]Hüseyin Üzen, Muammer Turkoglu, Dursun Öztürk, Davut Hanbay:
A novel hybrid attention gate based on vision transformer for the detection of surface defects. Signal Image Video Process. 18(10): 6835-6851 (2024) - 2023
- [j18]Huseyin Uzen, Muammer Turkoglu, Davut Hanbay:
Multi-dimensional feature extraction-based deep encoder-decoder network for automatic surface defect detection. Neural Comput. Appl. 35(4): 3263-3282 (2023) - [j17]Hüseyin Üzen, Muammer Turkoglu, Muzaffer Aslan, Davut Hanbay:
Depth-wise Squeeze and Excitation Block-based Efficient-Unet model for surface defect detection. Vis. Comput. 39(5): 1745-1764 (2023) - 2022
- [j16]Andac Imak, Adalet Celebi, Kamran Siddique, Muammer Turkoglu, Abdulkadir Sengür, Iftekhar Salam:
Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network. IEEE Access 10: 18320-18329 (2022) - [j15]Hüseyin Polat, Muammer Türkoglu, Onur Polat, Abdulkadir Sengür:
A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks. Expert Syst. Appl. 197: 116748 (2022) - [j14]Muammer Türkoglu, Hüseyin Polat, Cemal Koçak, Onur Polat:
Recognition of DDoS attacks on SD-VANET based on combination of hyperparameter optimization and feature selection. Expert Syst. Appl. 203: 117500 (2022) - [j13]Hüseyin Üzen, Muammer Türkoglu, Berrin A. Yanikoglu, Davut Hanbay:
Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects. Expert Syst. Appl. 209: 118269 (2022) - [j12]Muammer Turkoglu, Davut Hanbay, Abdulkadir Sengür:
Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests. J. Ambient Intell. Humaniz. Comput. 13(7): 3335-3345 (2022) - [j11]Andac Imak, Adalet Celebi, Muammer Türkoglu, Abdulkadir Sengür:
Dental Material Detection based on Faster Regional Convolutional Neural Networks and Shape Features. Neural Process. Lett. 54(3): 2107-2126 (2022) - [j10]Muammer Turkoglu, Berrin A. Yanikoglu, Davut Hanbay:
PlantDiseaseNet: convolutional neural network ensemble for plant disease and pest detection. Signal Image Video Process. 16(2): 301-309 (2022) - [j9]Erdinç Koç, Muammer Türkoglu:
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. 16(3): 613-621 (2022) - 2021
- [j8]Muammer Turkoglu:
COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble. Appl. Intell. 51(3): 1213-1226 (2021) - [j7]Muammer Turkoglu, Omer F. Alcin, Muzaffer Aslan, Adel Al-Zebari, Abdulkadir Sengür:
Deep rhythm and long short term memory-based drowsiness detection. Biomed. Signal Process. Control. 65: 102364 (2021) - [j6]Muammer Turkoglu:
Defective egg detection based on deep features and Bidirectional Long-Short-Term-Memory. Comput. Electron. Agric. 185: 106152 (2021) - [j5]Huseyin Uzen, Muammer Turkoglu, Davut Hanbay:
Texture defect classification with multiple pooling and filter ensemble based on deep neural network. Expert Syst. Appl. 175: 114838 (2021) - [j4]Muammer Turkoglu, Muzaffer Aslan, Ali Ari, Zeynep Mine Alçin, Davut Hanbay:
A multi-division convolutional neural network-based plant identification system. PeerJ Comput. Sci. 7: e572 (2021) - [c3]Hüseyin Üzen, Muammer Türkoglu, Davut Hanbay:
Surface Defect Detection Using Deep U-Net Network Architectures. SIU 2021: 1-4 - 2020
- [j3]Huseyin Polat, Muammer Turkoglu, Onur Polat:
Deep network approach with stacked sparse autoencoders in detection of DDoS attacks on SDN-based VANET. IET Commun. 14(22): 4089-4100 (2020)
2010 – 2019
- 2019
- [b1]Muammer Türkoglu:
Görüntü işleme tabanlı bitki türleri ve hastalıkları tanıma (Image processing based plant species and diseases recognition). İnönü University, Turkey, 2019 - [j2]Muammer Turkoglu, Davut Hanbay:
Recognition of plant leaves: An approach with hybrid features produced by dividing leaf images into two and four parts. Appl. Math. Comput. 352: 1-14 (2019) - [j1]Muammer Turkoglu, Davut Hanbay:
Plant disease and pest detection using deep learning-based features. Turkish J. Electr. Eng. Comput. Sci. 27(3): 1636-1651 (2019) - [c2]Muammer Turkoglu, Davut Hanbay:
Plant Recognition System based on Deep Features and Color-LBP method. SIU 2019: 1-4 - 2015
- [c1]Muammer Turkoglu, Davut Hanbay:
Classification of the grape varieties based on leaf recognition by using SVM classifier. SIU 2015: 2674-2677
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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