Rúben Costa
Biographic Data
| ID | 7852460 |
|---|---|
| NAME | Rúben Costa |
| GIVEN NAMES | Rúben |
| FAMILY NAME | Costa |
| SIGNATURE | COSTA R |
| AFFILIATIONS | Uninova |
| ORCID | 0000-0002-3385-1747 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Vessel Traffic Density Prediction
Maritime safety, environmental protection, and efficient traffic management increasingly rely on data-driven technologies. However, leveraging Automatic Identification System (AIS) data for predictive modelling faces two major challenges: the massive volume of data generated in real-time and growing privacy concerns associated with proprietary vessel information. This paper proposes a novel, privacy-preserving framework for vessel traffic density…
Mobile Exergaming in Adolescents’ Everyday Life—Contextual Design of Where, When, with Whom, and How
Exergames, more specifically console-based exergames, are generally enjoyed by adolescents and known to increase physical activity. Nevertheless, they have a reduced usage over time and demonstrate little effectiveness over the long term. In order to increase playing time, mobile exergames may increase potential playing time, but need to be engaging and integrated in everyday life. The goal of the present study was to examine the context of gamep…
No prominent works on this page.
Mobile Exergaming in Adolescents’ Everyday Life—Contextual Design of Where, When, with Whom, and How
Exergames, more specifically console-based exergames, are generally enjoyed by adolescents and known to increase physical activity. Nevertheless, they have a reduced usage over time and demonstrate little effectiveness over the long term. In order to increase playing time, mobile exergames may increase potential playing time, but need to be engaging and integrated in everyday life. The goal of the present study was to examine the context of gamep…
Vessel Traffic Density Prediction
Maritime safety, environmental protection, and efficient traffic management increasingly rely on data-driven technologies. However, leveraging Automatic Identification System (AIS) data for predictive modelling faces two major challenges: the massive volume of data generated in real-time and growing privacy concerns associated with proprietary vessel information. This paper proposes a novel, privacy-preserving framework for vessel traffic density…
Applied Psychology (1 work) · Applied Psychology (1 work) · Artificial neural network (1 work) · Computer Science (1 work) · Context (archaeology (1 work) · Convolutional neural network (1 work) · Data modeling (1 work) · Deep learning (1 work) · Everyday life (1 work) · Federated learning (1 work)