| Learn to navigate: cooperative path planning for unmanned surface vehicles using deep reinforcement learning X Zhou, P Wu, H Zhang, W Guo, Y Liu Ieee Access 7, 165262-165278, 2019 | 116 | 2019 |
| Hybrid fuel cell and battery propulsion system modelling and multi-objective optimisation for a coastal ferry P Wu, R Bucknall International journal of hydrogen energy 45 (4), 3193-3208, 2020 | 96 | 2020 |
| Cost-effective reinforcement learning energy management for plug-in hybrid fuel cell and battery ships P Wu, J Partridge, R Bucknall Applied Energy 275, 115258, 2020 | 89 | 2020 |
| CO2 emissions from international shipping: Possible reduction targets and their associated pathways T Smith, C Raucci, SH Hosseinloo, I Rojon, J Calleya, SS De La Fuente, ... UMAS: London, UK, 2016 | 54 | 2016 |
| Marine propulsion using battery power P Wu, RWG Bucknall Shipping in Changing Climates Conference 2016, 2016 | 39 | 2016 |
| Near-optimal energy management for plug-in hybrid fuel cell and battery propulsion using deep reinforcement learning P Wu, J Partridge, E Anderlini, Y Liu, R Bucknall International Journal of Hydrogen Energy 46 (80), 40022-40040, 2021 | 35 | 2021 |
| Adaptive and extendable control of unmanned surface vehicle formations using distributed deep reinforcement learning S Wang, F Ma, X Yan, P Wu, Y Liu Applied Ocean Research 110, 102590, 2021 | 35 | 2021 |
| Unsupervised anomaly detection for underwater gliders using generative adversarial networks P Wu, CA Harris, G Salavasidis, A Lorenzo-Lopez, I Kamarudzaman, ... Engineering Applications of Artificial Intelligence, 2021 | 34 | 2021 |
| A remote anomaly detection system for Slocum underwater gliders E Anderlini, G Salavasidis, CA Harris, P Wu, A Lorenzo, AB Phillips, ... Ocean Engineering 236, 109531, 2021 | 18 | 2021 |
| A novel path following approach for autonomous ships based on fast marching method and deep reinforcement learning S Wang, X Yan, F Ma, P Wu, Y Liu Ocean Engineering 257, 111495, 2022 | 16 | 2022 |
| On the design of plug-in hybrid fuel cell and lithium battery propulsion systems for coastal ships P Wu, RWG Bucknall Marine Design XIII, Volume 2, 941-951, 2018 | 13 | 2018 |
| Deep learning-based maritime environment segmentation for unmanned surface vehicles using superpixel algorithms H Xue, X Chen, R Zhang, P Wu, X Li, Y Liu Journal of Marine Science and Engineering 9 (12), 1329, 2021 | 8 | 2021 |
| Smart anomaly detection for slocum underwater gliders with a variational autoencoder with long short-term memory networks Z Bedja-Johnson, P Wu, D Grande, E Anderlini Applied Ocean Research 120, 103030, 2022 | 7 | 2022 |
| Decarbonising coastal shipping using fuel cells and batteries P Wu University College London, 2020 | 6 | 2020 |
| Open-source simulation of underwater gliders D Grande, L Huang, CA Harris, P Wu, G Thomas, E Anderlini OCEANS 2021: San Diego–Porto, 1-8, 2021 | 5 | 2021 |
| An intelligent energy management framework for hybrid-electric propulsion systems using deep reinforcement learning P Wu, J Partridge, E Anderlini, Y Liu, R Bucknall arXiv preprint arXiv:2108.00256, 2021 | 5 | 2021 |
| ShipGAN: Generative Adversarial Network based simulation-to-real image translation for ships Y Dong, P Wu, S Wang, Y Liu Applied Ocean Research 131, 103456, 2023 | 4 | 2023 |
| The Design of Energy Efficiency Management System for an Electricn Propulsion Passenger Ship in Inland River Q Yin, M Li, Y Yuan, P Wu, G Liu, R Bucknall 2019 5th International Conference on Transportation Information and Safety …, 2019 | 3 | 2019 |
| Anomaly detection and fault diagnostics for underwater gliders using deep learning P Wu, CA Harris, G Salavasidis, I Kamarudzaman, AB Phillips, G Thomas, ... OCEANS 2021: San Diego–Porto, 1-6, 2021 | 2 | 2021 |
| Opportunities and constraints of electrical energy storage systems in ships LA Farrier, P Wu, R Bucknall Low Carbon Shipping & Shipping in Changing Climates, 2017 | 2 | 2017 |
Enrico AnderliniInnovation Manager at Manz Italy SrlVerified email at manz.com
