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Davut Hanbay
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Cited by
Year
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
2822019
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
2402018
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
1752022
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
1552009
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
1482008
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
1372007
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
1132022
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
842009
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
702019
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
682008
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
672019
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
652008
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
622021
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
562009
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
532022
Modeling aeration efficiency of stepped cascades by using ANFIS
A Baylar, D Hanbay, E Ozpolat
CLEAN–Soil, Air, Water 35 (2), 186-192, 2007
532007
Tumor detection in MR images of regional convolutional neural networks
A Arı, D Hanbay
Journal of the Faculty of Engineering and Architecture of Gazi University 34 …, 2019
482019
An optimum feature extraction method for texture classification
E Avci, A Sengur, D Hanbay
Expert Systems with Applications 36 (3), 6036-6043, 2009
472009
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
462023
Retinal blood vessel segmentation using pixel-based feature vector
B Toptaş, D Hanbay
Biomedical Signal Processing and Control 70, 103053, 2021
442021
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