Paulo Relvas

According to our database, Paulo Relvas authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Piece-wise constant cluster modelling of dynamics of upwelling patterns.

Susana Nascimento, Alexandre Martins, Paulo Relvas, Joaquim Luis, Boris G. Mirkin

Expert Syst. J. Knowl. Eng., December, 2023

Core-shell clustering approach for detection and analysis of coastal upwelling.

Susana Nascimento, Alexandre Martins, Paulo Relvas, Joaquim Luis, Boris G. Mirkin

Comput. Geosci., October, 2023

2022

Coordinated Robotic Exploration of Dynamic Open Ocean Phenomena.

José Pinto, Maria Costa, Renato Mendes, Keila Lima, Paulo Sousa Dias, João Pereira, Manuel A. Ribeiro, Renato Campos, Maria Paola Tomasino, Catarina Magalhães, Francisco López Castejón, Javier Gilabert, Adriana M. Santos-Ferreira, José C. B. da Silva, Paulo Relvas, Trent Lukaczyk, Kay Arne Skarpnes, Emlyn J. Davies, Alexander Chekalyuk, Bruno Loureiro, Ian G. Brosnan, Jing Li, João Borges de Sousa, Kanna Rajan

Field Robotics, March, 2022

Novel Cluster Modeling for the Spatiotemporal Analysis of Coastal Upwelling.

Susana Nascimento, Alexandre Martins, Paulo Relvas, Joaquim Luis, Boris G. Mirkin

Proceedings of the Progress in Artificial Intelligence, 2022

2020

To Boldly Dive Where No One Has Gone Before: Experiments in Coordinated Robotic Ocean Exploration.

José Pinto, Maria Costa, Keila Lima, Paulo Sousa Dias, João Pereira, Manuel A. Ribeiro, Renato Campos, Zara Mirmalek, Renato Mendes, Francisco López Castejón, Javier Gilabert, Maria Paola Tomasino, Catarina Magalhães, José C. B. da Silva, Paulo Relvas, Trent Lukaczyk, Kay Arne Skarpnes, Martin Ludvigsen, Alexander Chekalyuk, Bruno Loureiro, Ian G. Brosnan, Jing Li, Ami Hannon, João Borges de Sousa, Kanna Rajan

Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images.

Susana Nascimento, Sayed Mateen, Paulo Relvas

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020