Performance Analysis of ANN and Naive Bayes Classification Algorithm for Data Classification MM Saritas, A Yasar International Journal of Intelligent Systems and Applications in Engineering …, 2019 | 1416 | 2019 |
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 (1), 2062944, 2022 | 34 | 2022 |
Computer-aided diagnosis system for detection of stomach cancer with image processing techniques A Yasar, I Saritas, H Korkmaz Journal of medical systems 43, 1-11, 2019 | 34 | 2019 |
Classification of Parkinson disease data with artificial neural networks A Yasar, I Saritas, MA Sahman, AC Cinar IOP conference series: materials science and engineering 675 (1), 012031, 2019 | 25 | 2019 |
CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS Y Ali, S Ismail, SM Akif, DA Oktay International Journal of Intelligent Systems and Applications in Engineering …, 2015 | 22 | 2015 |
Benchmarking analysis of CNN models for bread wheat varieties A Yasar European Food Research and Technology 249 (3), 749-758, 2023 | 21 | 2023 |
Classification of Wheat Types by Artificial Neural Network A Yasar, E Kaya, I Saritas International Journal of Intelligent Systems and Applications in Engineering …, 2016 | 16 | 2016 |
Banknote Classification Using Artificial Neural Network Approach E Kaya, A Yasar, I Saritas International Journal of Intelligent Systems and Applications in Engineering …, 2016 | 16 | 2016 |
Tree-seed algorithm in solving real-life optimization problems MA Sahman, AC Cinar, I Saritas, A Yasar IOP conference series: materials science and engineering 675 (1), 012030, 2019 | 14 | 2019 |
Classification of bread wheat genotypes by machine learning algorithms A Golcuk, A Yasar Journal of Food Composition and Analysis 119, 105253, 2023 | 10 | 2023 |
Data classification of early-stage diabetes risk prediction datasets and analysis of algorithm performance using feature extraction methods and machine learning techniques A Yasar International Journal of Intelligent Systems and Applications in Engineering …, 2021 | 9 | 2021 |
Classification of Cicer arietinum varieties using MobileNetV2 and LSTM A Golcuk, A Yasar, MM Saritas, A Erharman European Food Research and Technology 249 (5), 1343-1350, 2023 | 8 | 2023 |
Maize seeds forecasting with hybrid directional and bi‐directional long short‐term memory models H Isik, S Tasdemir, YS Taspinar, R Kursun, I Cinar, A Yasar, ET Yasin, ... Food Science & Nutrition 12 (2), 786-803, 2024 | 7 | 2024 |
Regenerative Braking Control of Brushless DC Motors with Type 2 Fuzzy Logic Controller Y Karabacak, A Yaşar, İ Sarıtaş International Journal of Fuzzy Systems 25 (7), 2722-2732, 2023 | 5 | 2023 |
Classification of bread wheat varieties with a combination of deep learning approach A Yasar, A Golcuk, OF Sari European Food Research and Technology 250 (1), 181-189, 2024 | 4 | 2024 |
Determination of whether Skin or non Skin from the Color Pixels Using Neural Network A Yasar, I Saritas Managing Intellectual Capital and Innovation for Sustainable and Inclusive …, 2015 | 4 | 2015 |
To Use Fuzzy Logic Approach For Valuation Of The Parcel A YASAR, S YALPIR, F BUNYAN UNEL International Symposium on Intelligent System Engineering, 2013 | 4 | 2013 |
Investigation of type 1 and type 2 fuzzy logic controllers performance: application of speed control of BLDC motor Y Karabacak, A Yasar, I ˙Saritas Journal of Intelligent & Fuzzy Systems 43 (5), 6357-6370, 2022 | 3 | 2022 |
Wrapper and hybrid feature selection methods using metaheuristic algorithm for chest x-ray images classification: COVID-19 as a case study A Yasar Tehnički glasnik 17 (3), 313-323, 2023 | 2 | 2023 |
Modeling the Performance of Fuzzy Expert System for Prediction of Combustion, Engine Performance, and Exhaust Emission Parameters of a Spark Ignition Engine Fueled With Waste … A Yasar, BS Kul, M Ciniviz Journal of Energy Resources Technology 144 (12), 122305, 2022 | 2 | 2022 |