| Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study C Gkerekos, I Lazakis, G Theotokatos Ocean Engineering 188, 106282, 2019 | 186 | 2019 |
| A novel, data-driven heuristic framework for vessel weather routing C Gkerekos, I Lazakis Ocean Engineering 197, 106887, 2020 | 70 | 2020 |
| Investigating an SVM-driven, one-class approach to estimating ship systems condition I Lazakis, C Gkerekos, G Theotokatos Ships and Offshore Structures, 2018 | 61 | 2018 |
| A novel data condition and performance hybrid imputation method for energy efficient operations of marine systems M Cheliotis, C Gkerekos, I Lazakis, G Theotokatos Ocean Engineering 188, 106220, 2019 | 49 | 2019 |
| Automatic traffic scenarios generation for autonomous ships collision avoidance system testing V Bolbot, C Gkerekos, G Theotokatos, E Boulougouris Ocean Engineering 254, 111309, 2022 | 23 | 2022 |
| Ship machinery condition monitoring using performance data through supervised learning C Gkerekos, I Lazakis, G Theotokatos Royal Institution of Naval Architects, 2017 | 17 | 2017 |
| Ship machinery condition monitoring using vibration data through supervised learning C Gkerekos, I Lazakis, G Theotokatos University of Strathclyde Publishing, 2016 | 15 | 2016 |
| Leveraging big data for fuel oil consumption modelling C Gkerekos, I Lazakis, S Papageorgiou 17th Conference on Computer Applications and Information Technology in the …, 2018 | 11 | 2018 |
| DIGITALISATION IN THE UK MARITIME SECTOR: A STAKEHOLDERS’PULSE CHECK C Gkerekos, G Theotokatos, LM Bujorianu, E Boulougouris, D Vassalos, ... RINA Marine Industry 4.0, 2019 | 7 | 2019 |
| Exploiting machine learning for ship systems anomaly detection and healthiness forecasting C Gkerekos, I Lazakis, G Theotokatos Royal Institution of Naval Architects, 2018 | 4 | 2018 |
| Implementation of a self-learning algorithm for main engine condition monitoring C Gkerekos, I Lazakis, G Theotokatos Maritime Transportation and Harvesting of Sea Resources 2, 981-989, 2017 | 4 | 2017 |
| Supplementing fault trees calculations with neural networks V Bolbot, C Gkerekos, G Theotokatos Research Publishing, 2021 | 1 | 2021 |
| Ships traffic encounter scenarios generation using sampling and clustering techniques V Bolbot, C Gkerekos, G Theotokatos | 1* | |
| Hybrid, real time engine modelling for the prediction and monitoring of marine power plant emissions and performance C Gkerekos, G Theotokatos, I Ancic, S Rye Torben, M Rejani Miyazaki 3rd International Conference on Modelling and Optimisation of Ship Energy …, 2021 | | 2021 |
| An integrated machine learning framework for enhanced vessel operational efficiency C Gkerekos | | 2020 |
| Experimental modeling and robust controller design for the transient loading of a marine diesel engine C Gkerekos National Technical University of Athens, School of Naval Architecture …, 2016 | | 2016 |
Gerasimos TheotokatosDNV Professor of Safety of Marine SystemsCorreu electrònic verificat a strath.ac.uk
