Research output per year
Research output per year
Project Details
Description (abstract)
VesselAI aims at realising a holistic, beyond the state-of-the-art AI-empowered framework for decision-support models, data analytics and visualisations to build digital twins and maritime applications for a diverse set of cases with high impact, including simulating and predicting vessel behaviour and manoeuvring (including the human factor), ship energy design optimisation, autonomous shipping and fleet intelligence
| Status | Finished |
|---|---|
| Effective start/end date | 01/01/2021 → 31/12/2023 |
Research output
- 1 Conference contribution
-
Mining port operation information from AIS data
Steenari, J. P., Lwakatare, L. E. M., Nurminen, J. K., Talonen, J. & Manderbacka, T., Sept 2022, Hamburg International Conference of Logistics (HICL) . Technische Universität Hamburg-Harburg, p. 657-678 (Proceedings of the Hamburg International Conference of Logistics; vol. 33).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile