Hybrid Search Method for Zermelo’s Navigation Problem
Published:
A novel Hybrid Search algorithm is introduced to address Zermelo’s Navigation Problem, demonstrating improved efficiency and real-world applicability.
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Papers
Aggregation dynamics of tropical tunas around drifting floating objects based on large-scale echo-sounder data
Published:
In this study we apply Tun-AI to study the aggregation times and behavioural patterns of tuna around drifting Fish Aggregating Devices (dFADs).
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Effectiveness of non-pharmaceutical interventions in nine fields of activity to decrease SARS-CoV-2 transmission (Spain, September 2020-May 2021)
Published:
We estimated the association between the level of restriction in nine different fields of activity and SARS-CoV-2 transmissibility in Spain, from 15th September 2020 to 9th May 2021.
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Thresholding methods in non-intrusive load monitoring
Published:
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.
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NeoCam: An edge-cloud platform for non-invasive real-time monitoring in neonatal intensive care units
Published:
In this work we introduce NeoCam , an open source hardware-software platform for video-based monitoring of preterms infants in Neonatal Intensive Care Units (NICUs).
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Tun-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data
Published:
Tun-AI is a Machine Learning model aimed at predicting tuna biomass under a given buoy, using echo-sounder and oceanography data.
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