| Multivariate sensor data analysis for oil refineries and multi-mode identification of system behavior in real-time A Khodabakhsh, I Ari̇, M Bakír, AO Ercan IEEE Access 6, 64389-64405, 2018 | 31 | 2018 |
| Forecasting multivariate time-series data using LSTM and mini-batches A Khodabakhsh, I Ari, M Bakır, SM Alagoz Data Science: From Research to Application, 121-129, 2020 | 27 | 2020 |
| Cyber-risk identification for a digital substation A Khodabakhsh, SY Yayilgan, M Abomhara, M Istad, N Hurzuk Proceedings of the 15th international conference on availability …, 2020 | 20 | 2020 |
| Cyber-security gaps in a digital substation: From sensors to SCADA A Khodabakhsh, SY Yayilgan, SH Houmb, N Hurzuk, J Foros, M Istad 2020 9th Mediterranean Conference on Embedded Computing (MECO), 1-4, 2020 | 17 | 2020 |
| Cloud-based fault detection and classification for oil & gas industry A Khodabakhsh, I Ari, M Bakir arXiv preprint arXiv:1705.04583, 2017 | 12 | 2017 |
| Real-time data reconciliation solutions for big data problems observed in oil refineries M Bahr, B Aydoğan, M Aydin, A Khodabakhsh, I An, AÖ Ercan 2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014 | 7* | 2014 |
| LazyFox: Fast and parallelized overlapping community detection in large graphs T Garrels, A Khodabakhsh, BY Renard, K Baum PeerJ Computer Science 9, e1291, 2023 | 4 | 2023 |
| Data privacy in IoT equipped future smart homes A Khodabakhsh, SY Yayilgan Intelligent Technologies and Applications: Third International Conference …, 2021 | 4 | 2021 |
| Stream analytics and adaptive windows for operational mode identification of time-varying industrial systems A Khodabakhsh, I Ari, M Bakir, SM Alagoz 2018 IEEE International Congress on Big Data (BigData Congress), 242-246, 2018 | 3 | 2018 |
| Machine Learning, Optimization, and Data Science: 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part I G Nicosia, V Ojha, E La Malfa, G Jansen, V Sciacca, P Pardalos, ... Springer Nature, 2021 | 2 | 2021 |
| Predicting decision-making time for diagnosis over ngs cycles: An interpretable machine learning approach A Khodabakhsh, TP Loka, S Boutin, D Nurjadi, BY Renard bioRxiv, 2023.03. 07.530760, 2023 | 1 | 2023 |
| Intelligent Technologies and Applications: Third International Conference, INTAP 2020, Gjøvik, Norway, September 28–30, 2020, Revised Selected Papers SY Yayilgan, IS Bajwa, F Sanfilippo Springer Nature, 2021 | 1 | 2021 |
| Proceedings of Asia Pacific Computer Systems Conference 2021: APCS 2021 A Gokhale, E Grant Springer Nature, 2023 | | 2023 |
| Digital oil refinery: utilizing real-time analytics and cloud computing over industrial sensor data A Khodabakhsh | | 2018 |
| ICICT 2022 A Gokhale, M Guizani, E Grant, S Zhang, M Schneider, ABM Salem, ... | | |
| ICICT 2020 S Chen, M Huang, A Gokhale, S Zhang, SY Yayilgan, SX Wang, E Grant, ... | | |
| Rafinerilerdeki Büyük Veri Problemlerine Gerçek-Zamanlı Veri Uzlaştırma Çözümleri Real-Time Data Reconciliation Solutions for Big Data Problems Observed in Oil Refineries M Bakır, B Aydoğan, M Aydın, A Khodabakhsh, İ Arı, AÖ Ercan | | |
Ismail AriAssistant Professor of Computer Science, Ozyegin UniversityAdresse e-mail validée de ozyegin.edu.tr
