| 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 | 307 | 2019 |
| Deep learning based brain tumor classification and detection system A Ari, D Hanbay Turkish Journal of Electrical Engineering and Computer Sciences 26 (5), 2275 …, 2018 | 257 | 2018 |
| 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 | 187 | 2022 |
| Application of least square support vector machines in the prediction of aeration performance of plunging overfall jets from weirs A Baylar, D Hanbay, M Batan Expert Systems with Applications 36 (4), 8368-8374, 2009 | 161 | 2009 |
| Prediction of wastewater treatment plant performance based on wavelet packet decomposition and neural networks D Hanbay, I Turkoglu, Y Demir Expert systems with applications 34 (2), 1038-1043, 2008 | 152 | 2008 |
| An expert discrete wavelet adaptive network based fuzzy inference system for digital modulation recognition E Avci, D Hanbay, A Varol Expert Systems with Applications 33 (3), 582-589, 2007 | 137 | 2007 |
| 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 | 123 | 2022 |
| An expert system based on least square support vector machines for diagnosis of the valvular heart disease D Hanbay Expert Systems with Applications 36 (3), 4232-4238, 2009 | 82 | 2009 |
| 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 | 76 | 2019 |
| An expert system for predicting aeration performance of weirs by using ANFIS A Baylar, D Hanbay, E Ozpolat Expert Systems with Applications 35 (3), 1214-1222, 2008 | 73 | 2008 |
| 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 | 70 | 2019 |
| Classification of hyperspectral remote sensing images using different dimension reduction methods with 3D/2D CNN H Fırat, ME Asker, D Hanbay Remote Sensing Applications: Society and Environment 25, 100694, 2022 | 65 | 2022 |
| 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 | 65 | 2021 |
| An expert system based on wavelet decomposition and neural network for modeling Chua’s circuit D Hanbay, I Turkoglu, Y Demir Expert systems with applications 34 (4), 2278-2283, 2008 | 63 | 2008 |
| Prediction of aeration efficiency on stepped cascades by using least square support vector machines D Hanbay, A Baylar, M Batan Expert Systems with Applications 36 (3), 4248-4252, 2009 | 61 | 2009 |
| 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 | 58 | 2023 |
| Modeling aeration efficiency of stepped cascades by using ANFIS A Baylar, D Hanbay, E Ozpolat CLEAN–Soil, Air, Water 35 (2), 186-192, 2007 | 55 | 2007 |
| Retinal blood vessel segmentation using pixel-based feature vector B Toptaş, D Hanbay Biomedical Signal Processing and Control 70, 103053, 2021 | 51 | 2021 |
| 3D residual spatial–spectral convolution network for hyperspectral remote sensing image classification H Firat, ME Asker, MI Bayindir, D Hanbay Neural Computing and Applications 35 (6), 4479-4497, 2023 | 49 | 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 | 49 | 2022 |
Muammer TürkoğluSamsun ÜniversitesiZweryfikowany adres z samsun.edu.tr