| Full text | |
| Author(s): |
Moreno, Felipe M.
;
Tannuri, Eduardo A.
;
Cozman, Fabio G.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | PROCEEDINGS OF ASME 2022 41ST INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2022, VOL 5B; v. N/A, p. 9-pg., 2022-01-01. |
| Abstract | |
This paper introduces a pipeline that, first, assembles a dataset of metocean conditions consisting of wind, wave and surface currents, and, second, clusters this data to find the characteristic environmental conditions of each region in the Brazilian coast and the associated Exclusive Economic Zone. Clustering uses the Partitioning Around Medoids algorithm with the silhouette coefficient. As examples, we first present an analysis for the whole Exclusive Economic Zone and then a focused analysis around the Santos port in Southeastern Brazil. (AU) | |
| FAPESP's process: | 19/07665-4 - Center for Artificial Intelligence |
| Grantee: | Fabio Gagliardi Cozman |
| Support Opportunities: | Research Grants - Research Program in eScience and Data Science - Research Centers in Engineering Program |
| FAPESP's process: | 20/16746-5 - Physics-informed machine learning applied for forecasting metocean conditions |
| Grantee: | Felipe Marino Moreno |
| Support Opportunities: | Scholarships in Brazil - Doctorate |