| Assessment of the spatiotemporal prediction capabilities of machine learning algorithms on Sea Surface Temperature data: A comprehensive study S Kartal Engineering Applications of Artificial Intelligence 118, 105675, 2023 | 27 | 2023 |
| Prediction of MODIS land surface temperature using new hybrid models based on spatial interpolation techniques and deep learning models S Kartal, A Sekertekin Environmental Science and Pollution Research 29 (44), 67115-67134, 2022 | 24 | 2022 |
| Comparison of semantic segmentation algorithms for the estimation of botanical composition of clover-grass pastures from RGB images S Kartal Ecological Informatics 66, 101467, 2021 | 13 | 2021 |
| Machine learning-based plant detection algorithms to automate counting tasks using 3d canopy scans S Kartal, S Choudhary, J Masner, J Kholová, M Stočes, P Gattu, ... Sensors 21 (23), 8022, 2021 | 8 | 2021 |
| Pattern layer reduction for a generalized regression neural network by using a self–organizing map S Kartal, M Oral, BM Ozyildirim International Journal of Applied Mathematics and Computer Science 28 (2 …, 2018 | 8 | 2018 |
| A cluster based approach to reduce pattern layer size for generalized regression neural network. M Oral, S Kartal, BM ÖZYILDIRIM Pamukkale University Journal of Engineering Sciences 24 (5), 2018 | 6 | 2018 |
| Segmentation of bean-plants using clustering algorithms S Kartal, S Choudhary, M Stočes, P Šimek, T Vokoun, V Novák AGRIS on-line Papers in Economics and Informatics 12 (3), 36-43, 2020 | 4 | 2020 |
| A decision tree-based measure-correlate-predict approach for peak wind gust estimation from a global reanalysis dataset S Kartal, S Basu, SJ Watson Wind Energy Science Discussions 8 (10), 1533, 2023 | 3 | 2023 |
| A Modified Deep Learning Approach for Reconstruction of Modis LST Product A Sekertekin, S Kartal, Q Liu, S Bonafoni Proceedings of the Symposium GIS Ostrava, 2022 | 3 | 2022 |
| New pattern reduction method for generalized regression neural network S Kartal, M Oral International Journal 7 (2), 2017 | 3 | 2017 |
| Görüntü Birleştirme İçin Bölgesel Renk Yoğunluğuna Dayalı Yeni Bir Yaklaşım M Oral, S Kartal Eeb Elektrik-Elektronik ve Bilgisayar Sempozyumu, Türkiye, 67-70, 2016 | 3 | 2016 |
| Next-level vegetation health index forecasting: A ConvLSTM study using MODIS Time Series S Kartal, MC Iban, A Sekertekin Environmental Science and Pollution Research 31 (12), 18932-18948, 2024 | 2 | 2024 |
| Machine learning-based predictors for ICU admission of COVID-19 patients N Alhawas, S Kartal International Summit Smart City 360°, 602-616, 2021 | 2 | 2021 |
| Analysing Household Food Consumption in Turkey Using Machine Learning Techniques B Oztornaci, B Ata, S Kartal Agris on-line Papers in Economics and Informatics 2 (June), 97-105, 2024 | 1 | 2024 |
| Genelleştirilmiş regresyon yapay sinir ağı örüntü katman büyüklüğünü azaltmak için kümeleme tabanlı bir yaklaşım M Oral, S Kartal, BM Özyıldırım Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 24 (5), 857-863, 2017 | 1 | 2017 |
| Prediction of Diabetes Mellitus Using Tree-Based Machine Learning Algorithms: A Comparative Analysis S Kartal 3rd Global Conference on Engineering Research (GLOBCER'23), 158-162, 2023 | | 2023 |
| Product Demand Forecasting with the Prophet Model S Kartal 3rd Global Conference on Engineering Research (GLOBCER'23), 84-90, 2023 | | 2023 |
| Flood Inundation Mapping with Supervised Classifiers: 2021 Gediz Plain Flood E Arslan, S Kartal Türk Uzaktan Algılama ve CBS Dergisi 4 (1), 100-113, 2023 | | 2023 |
| Otokodlayıcılar Kullanarak Uzaktan Algılama Görüntülerindeki Eksik Verilerin Yeniden Yapılandırılması S KARTAL Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 37 (4), 853-862, 2022 | | 2022 |
| Segmentation of 3D point clouds data to analyze environmental adaptations in sorghum. S Kartal, J Masner, P Šimek, M Stočes, V Novák, J Kholová, S Choudhary | | 2020 |
