| Tomato disease recognition using a compact convolutional neural network E ÖZBİLGE, MK ULUKÖK, Ö TOYGAR, E OZBILGE IEEE Access 10, 77213-77224, 2022 | 34 | 2022 |
| On-line expectation-based novelty detection for mobile robots E Özbilge Robotics and Autonomous Systems 81, 33-47, 2016 | 10 | 2016 |
| Experiments in online expectation-based novelty-detection using 3D shape and colour perceptions for mobile robot inspection E Özbilge Robotics and Autonomous Systems 117, 68-79, 2019 | 7 | 2019 |
| Artificial intelligence-assisted RT-PCR detection model for rapid and reliable diagnosis of COVID-19 E Özbilge, T Sanlidag, E Ozbilge, B Baddal Applied Sciences 12 (19), 9908, 2022 | 6 | 2022 |
| Inverse problem for a time fractional parabolic equation with nonlocal boundary conditions E Ozbilge, F Kanca, E Özbilge Mathematics 10 (9), 1479, 2022 | 6 | 2022 |
| Automated malaria parasite detection using artificial neural network E Özbilge, E Güler, M Güvenir, T Şanlıdağ, A Özbilgin, K Süer International Conference on Theory and Applications of Fuzzy Systems and …, 2020 | 5 | 2020 |
| Modelling and analysis of IoT technology using neural networks in agriculture environment E Özbilge, Y Kırsal, E Çaglar International Journal of Computers Communications & Control 15 (3), 2020 | 5 | 2020 |
| Determination of the unknown source function in time fractional parabolic equation with Dirichlet boundary conditions E Ozbilge, A Demir, F Kanca, E Özbilge Applied Mathematics & Information Sciences 10 (1), 283, 2016 | 5 | 2016 |
| 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing–ICAFS-2020 RA Aliev, J Kacprzyk, W Pedrycz, M Jamshidi, M Babanli, FM Sadikoglu Springer Nature, 2021 | 4 | 2021 |
| Detecting static and dynamic novelties using dynamic neural network E Özbilge Procedia computer science 120, 877-886, 2017 | 2 | 2017 |
| An MCDM approach on Einstein aggregation operators under Bipolar Linear Diophantine Fuzzy Hypersoft Set SN Sri, J Vimala, N Kausar, E Ozbilge, E Özbilge, D Pamucar Heliyon 10 (9), 2024 | 1 | 2024 |
| Extending the concepts of complex interval valued neutrosophic subbisemiring of bisemiring M Palanikumar, N Kausar, E Ozbilge, E Ozbilge International Journal of Neutrosophic Science 23 (4), 2024 | 1 | 2024 |
| Skin Cancer Recognition Using Compact Deep Convolutional Neural Network AB FOFANAH, E ÖZBİLGE, Y KIRSAL Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 38 (3), 787-797, 2023 | 1 | 2023 |
| Expectation-Based Novelty Detection in Mobile Robotics E Özbilge, U Nehmzow, J Condell Towards Autonomous Robotic Systems: 10th Annual Conference, TAROS 2009, 210-215, 2009 | 1 | 2009 |
| Wind Speed Prediction Using Deep Recurrent Neural Networks and Farm Platform Features for One-Hour-Ahead Forecast E Özbilge, Y Kırsal Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 39 (2), 287-300, 2024 | | 2024 |
| Comparative Analysis of Deep Recurrent Neural Networks for Speech Recognition PB Atosha, E Özbilge, Y Kırsal 2024 32nd Signal Processing and Communications Applications Conference (SIU …, 2024 | | 2024 |
| Ensembling object detection models for robust and reliable malaria parasite detection in thin blood smear microscopic images E Özbılge, E Gìler, E Ozbilge IEEE Access, 2024 | | 2024 |
| Determination of medical emergency via new intuitionistic fuzzy correlation measures based on Spearman’s correlation coefficient PA Ejegwa, N Kausar, JA Agba, F Ugwuh, E Ozbilge, E Ozbilge AIMS Mathematics 9 (6), 15639-15670, 2024 | | 2024 |
| Fusion of Novelty Detectors Using Deep and Local Invariant Visual Features for Inspection Task E Özbilge, E Ozbilge IEEE Access 10, 121032-121047, 2022 | | 2022 |
| Analysis and Modelling of Meteorological Sensory Signals for One-Hour-Ahead Wind Speed Forecasting using Dynamic Neural Networks E Özbilge, Y Kirsal 2022 30th Signal Processing and Communications Applications Conference (SIU …, 2022 | | 2022 |
Yonal KirsalAssociate Professor, European University of Lefke在 eul.edu.tr 的电子邮件经过验证
