| Plant disease and pest detection using deep learning-based features M Türkoğlu, D Hanbay Turkish Journal of Electrical Engineering and Computer Sciences 27 (3), 1636 …, 2019 | 297 | 2019 |
| COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble M Turkoglu Applied Intelligence 51 (3), 1213-1226, 2021 | 203 | 2021 |
| Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests M Turkoglu, D Hanbay, A Sengur Journal of Ambient Intelligence and Humanized Computing 13 (7), 3335-3345, 2022 | 189 | 2022 |
| PlantDiseaseNet: Convolutional neural network ensemble for plant disease and pest detection M Turkoglu, B Yanikoğlu, D Hanbay Signal, Image and Video Processing 16 (2), 301-309, 2022 | 121 | 2022 |
| A new pyramidal concatenated CNN approach for environmental sound classification F Demir, M Turkoglu, M Aslan, A Sengur Applied Acoustics 170, 107520, 2020 | 114 | 2020 |
| COVID-19 detection system using chest CT images and multiple kernels-extreme learning machine based on deep neural network M Turkoglu IRBM 42 (4), 207-214, 2021 | 86 | 2021 |
| Dental caries detection using score-based multi-input deep convolutional neural network A Imak, A Celebi, K Siddique, M Turkoglu, A Sengur, I Salam IEEE Access 10, 18320-18329, 2022 | 71 | 2022 |
| Recognition of plant leaves: An approach with hybrid features produced by dividing leaf images into two and four parts M Turkoglu, D Hanbay Applied Mathematics and Computation 352, 1-14, 2019 | 71 | 2019 |
| A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks H Polat, M Türkoğlu, O Polat, A Şengür Expert Systems with Applications 197, 116748, 2022 | 69 | 2022 |
| Leaf-based plant species recognition based on improved local binary pattern and extreme learning machine M Turkoglu, D Hanbay Physica A: Statistical Mechanics and its Applications 527, 121297, 2019 | 69 | 2019 |
| Texture defect classification with multiple pooling and filter ensemble based on deep neural network H Uzen, M Turkoglu, D Hanbay Expert Systems with Applications 175, 114838, 2021 | 64 | 2021 |
| Depth-wise Squeeze and Excitation Block-based Efficient-Unet model for surface defect detection H Üzen, M Turkoglu, M Aslan, D Hanbay The Visual Computer 39 (5), 1745-1764, 2023 | 50 | 2023 |
| Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects H Üzen, M Türkoğlu, B Yanikoglu, D Hanbay Expert Systems with Applications 209, 118269, 2022 | 43 | 2022 |
| Recognition of DDoS attacks on SD-VANET based on combination of hyperparameter optimization and feature selection M Türkoğlu, H Polat, C Koçak, O Polat Expert Systems with Applications 203, 117500, 2022 | 41 | 2022 |
| Defective egg detection based on deep features and Bidirectional Long-Short-Term-Memory M Turkoglu Computers and Electronics in Agriculture 185, 106152, 2021 | 41 | 2021 |
| Derin Evrişimsel Sinir Ağı Kullanılarak Kayısı Hastalıklarının Sınıflandırılması M TÜRKOĞLU, K HANBAY, IS SİVRİKAYA, D HANBAY Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 9 (1), 334-345, 2020 | 39* | 2020 |
| Deep network approach with stacked sparse autoencoders in detection of DDoS attacks on SDN‐based VANET H Polat, M Turkoglu, O Polat IET Communications 14 (22), 4089-4100, 2020 | 37 | 2020 |
| Forecasting of medical equipment demand and outbreak spreading based on deep long short-term memory network: the COVID-19 pandemic in Turkey E Koç, M Türkoğlu Signal, image and video processing, 1-9, 2022 | 35 | 2022 |
| Deep rhythm and long short term memory-based drowsiness detection M Turkoglu, OF Alcin, M Aslan, A Al-Zebari, A Sengur Biomedical Signal Processing and Control 65, 102364, 2021 | 34 | 2021 |
| Apricot disease identification based on attributes obtained from deep learning algorithms M TÜRKOĞLU, D HANBAY 2018 International Conference on Artificial Intelligence and Data Processing …, 2018 | 28 | 2018 |
Davut Hanbayinonu UniversityVerified email at inonu.edu.tr
