15 citations · 30 across the 5 of their papers we have counts for
5 papers
BERS: Locally Optimal Continuous Algorithm for Maritime Weather Routing with Just-in-Time Arrival
Daniel Precioso, Francisco Suárez, Javier Jiménez de la Jara +2
Maritime weather routing must optimize route geometry under dynamic wind-wave conditions, obstacle constraints, and fixed-arrival requirements. We present Bézier Evolve and Refine…
Hybrid Search method for Zermelo's navigation problem
Daniel Precioso, Robert Milson, Louis Bu +2
In this paper, we present a novel algorithm called the Hybrid Search algorithm that integrates the Zermelo's Navigation Initial Value Problem with the Ferraro-Martín de Diego-Almag…
How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patterns
Manuel Navarro-García, Daniel Precioso, Kathryn Gavira-O'Neill +4
Based on the data gathered by echo-sounder buoys attached to drifting Fish Aggregating Devices (dFADs) across tropical oceans, the current study applies a Machine Learning protocol…
Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data
Daniel Precioso, Manuel Navarro-García, Kathryn Gavira-O'Neill +4
Echo-sounder data registered by buoys attached to drifting FADs provide a very valuable source of information on populations of tuna and their behaviour. This value increases whent…
NILM as a regression versus classification problem: the importance of thresholding
Daniel Precioso, David Gómez-Ullate
Non-Intrusive Load Monitoring (NILM) aims to predict the status or consumption of domestic appliances in a household only by knowing the aggregated power load. NILM can be formulat…