| Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault DS Alves, GB Daniel, HF de Castro, TH Machado, KL Cavalca, O Gecgel, ... Mechanism and Machine Theory 149, 103835, 2020 | 50 | 2020 |
| Gearbox fault diagnostics using deep learning with simulated data O Gecgel, S Ekwaro-Osire, JP Dias, A Serwadda, FM Alemayehu, ... 2019 IEEE international conference on prognostics and health management …, 2019 | 36 | 2019 |
| Machine learning in crack size estimation of a spur gear pair using simulated vibration data O Gecgel, S Ekwaro-Osire, JP Dias, A Nispel, FM Alemayehu, ... Proceedings of the 10th International Conference on Rotor Dynamics–IFToMM …, 2019 | 20 | 2019 |
| Prognostics and health management of wind energy infrastructure systems C Yüce, O Gecgel, O Doğan, S Dabetwar, Y Yanik, OC Kalay, E Karpat, ... ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2022 | 17 | 2022 |
| Simulation-driven deep learning approach for wear diagnostics in hydrodynamic journal bearings O Gecgel, JP Dias, S Ekwaro-Osire, DS Alves, TH Machado, GB Daniel, ... Journal of Tribology 143 (8), 084501, 2021 | 11 | 2021 |
| A deep learning application to approximate the geometric orifice and coaptation areas of the polymeric heart valves under time–varying transvalvular pressure U Gulbulak, O Gecgel, A Ertas Journal of the Mechanical Behavior of Biomedical Materials 117, 104371, 2021 | 9 | 2021 |
| Deep convolutional neural network framework for diagnostics of planetary gearboxes under dynamic loading with feature-level data fusion O Gecgel, S Ekwaro-Osire, U Gulbulak, TS Morais Journal of Vibration and Acoustics 144 (3), 031003, 2022 | 8 | 2022 |
| Condition monitoring of gearbox components using deep learning with simulated vibration data O Gecgel | 8 | 2019 |
| Probabilistic Approach to Determine the Efficiency of Ocean Wave Energy Conversion Systems S Ekwaro-Osire, FM Alemayehu, J Chapman, O Gecgel, S Dabetwar, ... ASME International Mechanical Engineering Congress and Exposition 50589 …, 2016 | 7 | 2016 |
| SARS-CoV-2 surveillance in indoor air using electrochemical sensor for continuous monitoring and real-time alerts F Lu, O Gecgel, A Ramanujam, GG Botte Biosensors 12 (7), 523, 2022 | 6 | 2022 |
| Selective electrochemical detection of SARS-CoV-2 using deep learning O Gecgel, A Ramanujam, GG Botte Viruses 14 (9), 1930, 2022 | 5 | 2022 |
| Selective Electrochemical Detection of SARS-CoV-2 Using Deep Learning. Viruses 2022, 14, 1930 O Gecgel, A Ramanujam, GG Botte s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2022 | 1 | 2022 |
| Probabilistic Model-Based Prognostics Using Meshfree Modeling S Ekwaro-Osire, HB Endeshaw, FM Alemayehu, O Gecgel Probabilistic Prognostics and Health Management of Energy Systems, 67-90, 2017 | 1 | 2017 |
| (Invited) Ammonia Electrolysis from Fundamentals to Scale up CE Alvarez Pugliese, O Gecgel, GG Botte Electrochemical Society Meeting Abstracts 244, 2417-2417, 2023 | | 2023 |
| Ammonia Electrolysis from Fundamentals to Scale up CEA Pugliese, O Gecgel, GG Botte ECS Meeting Abstracts, 2417, 2023 | | 2023 |
| Investigating Adsorption Capacities of Treated Sewage Byproducts for Their Potential Use As Fertilizer K Coyle, L Slaughter, C Alvarez-Pugliese, O Gecgel, GG Botte, O Mbuya, ... ASA, CSSA, SSSA International Annual Meeting, 2023 | | 2023 |
| Continuous and Ultra-Fast Sars-Cov-2 Monitoring of Indoor Air A Ramanujam, O Gecgel, F Lu, GG Botte Electrochemical Society Meeting Abstracts 240, 1567-1567, 2021 | | 2021 |
| Uncertainty in Remaining Useful Life S Ekwaro-Osire, HB Endeshaw, FM Alemayehu, O Gecgel HEALTH MANAGEMENT OF ENERGY SYSTEMS WORKSHOP, 18, 2015 | | 2015 |
Fisseha Meresa AlemayehuWest Texas A&M University在 wtamu.edu 的电子邮件经过验证
