Classification of rice varieties with deep learning methods M Koklu, I Cinar, YS Taspinar Computers and electronics in agriculture 187, 106285, 2021 | 144 | 2021 |
Classification of rice varieties using artificial intelligence methods I Cinar, M Koklu International Journal of Intelligent Systems and Applications in Engineering …, 2019 | 115 | 2019 |
Classification and analysis of pistachio species with pre-trained deep learning models D Singh, YS Taspinar, R Kursun, I Cinar, M Koklu, IA Ozkan, HN Lee Electronics 11 (7), 981, 2022 | 75 | 2022 |
Classification of Date Fruits into Genetic Varieties Using Image Analysis M Koklu, R Kursun, YS Taspinar, I Cinar Mathematical Problems in Engineering 2021, 2021 | 72 | 2021 |
Classification of Raisin Grains Using Machine Vision and Artificial Intelligence Methods I CINAR, M KOKLU, S TASDEMİR Gazi Mühendislik Bilimleri Dergisi (GMBD) 6 (3), 200-209, 2020 | 55 | 2020 |
Identification of Rice Varieties Using Machine Learning Algorithms I CINAR, M KOKLU Journal of Agricultural Sciences (Tarim Bilimleri Dergisi) 28 (2), 307 - 325, 2022 | 53 | 2022 |
CNN-based bi-directional and directional long-short term memory network for determination of face mask M Koklu, I Cinar, YS Taspinar Biomedical signal processing and control 71, 103216, 2022 | 50 | 2022 |
Classification by a stacking model using CNN features for COVID-19 infection diagnosis YS Taspinar, I Cinar, M Koklu Journal of X-Ray Science and Technology 30 (1), 73-88, 2022 | 47 | 2022 |
Application of pre-trained deep convolutional neural networks for coffee beans species detection Y Unal, YS Taspinar, I Cinar, R Kursun, M Koklu Food Analytical Methods 15 (12), 3232-3243, 2022 | 43 | 2022 |
Dry bean cultivars classification using deep cnn features and salp swarm algorithm based extreme learning machine M Dogan, YS Taspinar, I Cinar, R Kursun, IA Ozkan, M Koklu Computers and Electronics in Agriculture 204, 107575, 2023 | 39 | 2023 |
Computer vision classification of dry beans (Phaseolus vulgaris L.) based on deep transfer learning techniques YS Taspinar, M Dogan, I Cinar, R Kursun, IA Ozkan, M Koklu European Food Research and Technology 248 (11), 2707-2725, 2022 | 37 | 2022 |
Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction B Kishore, A Yasar, YS Taspinar, R Kursun, I Cinar, VG Shankar, M Koklu, ... Computational Intelligence and Neuroscience, 2022 | 32 | 2022 |
Classification of deep image features of lentil varieties with machine learning techniques R Butuner, I Cinar, YS Taspinar, R Kursun, MH Calp, M Koklu European Food Research and Technology 249 (5), 1303-1316, 2023 | 29 | 2023 |
Edible and poisonous mushrooms classification by machine learning algorithms K Tutuncu, I Cinar, R Kursun, M Koklu 2022 11th Mediterranean Conference on Embedded Computing (MECO), 1-4, 2022 | 21 | 2022 |
Prediction of computer type using benchmark scores of hardware units YS Taspinar, I Cinar, M Koklu Selcuk University Journal of Engineering Sciences 20 (1), 11-17, 2021 | 19 | 2021 |
Flower recognition system with optimized features for deep features R Kursun, I Cinar, YS Taspinar, M Koklu 2022 11th Mediterranean Conference on Embedded Computing (MECO), 1-4, 2022 | 15 | 2022 |
Determination of effective and specific physical features of rice varieties by computer vision in exterior quality inspection I Cinar, M KÖKLÜ Selcuk Journal of Agriculture and Food Sciences 35 (3), 229-243, 2021 | 15 | 2021 |
Identification of sheep breeds by CNN-based pre-trained InceptionV3 model M Koklu, I Cinar, YS Taspinar, R Kursun 2022 11th Mediterranean Conference on Embedded Computing (MECO), 01-04, 2022 | 12 | 2022 |
Identification of corneal ulcers with pre-trained AlexNet based on transfer learning I Cinar, YS Taspinar, R Kursun, M Koklu 2022 11th Mediterranean conference on embedded computing (MECO), 1-4, 2022 | 11 | 2022 |
Detection of hazelnut varieties and development of mobile application with CNN data fusion feature reduction-based models B Gencturk, S Arsoy, YS Taspinar, I Cinar, R Kursun, ET Yasin, M Koklu European Food Research and Technology, 1-14, 2024 | 9 | 2024 |