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Now showing items 141-147 of 147
Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning
(Elsevier, 2022-03)
Fishery monitoring programs are essential for effective management of marine resources, as they provide scientists and managers with the necessary data for both the preparation of scientific advice and fisheries control ...
Contributions to Natural Language Processing and Hierarchical Classification.
(2024-01-10)
El envejecimiento de la población se define como el aumento progresivo de la proporción de personas de 65años o más con respecto a la población total. En Europa, se prevé que el porcentaje de población mayor de 65años ...
Unsupervised learning approaches for disease progression modeling
(2024-01-12)
Esta tesis presenta metodologías para el aprendizaje no supervisado a partir de secuencias discretas que definen el historial clínico de un paciente. Específicamente, estos métodos permiten modelar la evolución de las ...
Above-ground biomass estimation from LiDAR data using random forest algorithms
(Elsevier, 2022-02)
Random forest (RF) models were developed to estimate the biomass for the Pinus radiata species in a region of the Basque Autonomous Community where this species has high cover, using the National Forest Inventory, allometric ...
Intelligent road lane mark extraction using a Mobile Mapping System
(2023-01-19)
During the last years, road landmark in- ventory has raised increasing interest in different areas: the maintenance of transport infrastructures, road 3d modelling, GIS applications, etc. The lane mark detection is posed ...
EDAR 4.0: Machine Learning and Visual Analytics for Wastewater Management
(MDPI, 2024-04-24)
Wastewater treatment plant (WWTP) operations manage massive amounts of data that can be gathered with new Industry 4.0 technologies such as the Internet of Things and Big Data. These data are critical to allow the wastewater ...
Taking charge of one’s own safety while collaborating with robots: Enhancing situational awareness for a safe environment
(MDPI, 2024-05-11)
Collaborative robots, designed to work alongside humans in industrial manufacturing, are becoming increasingly prevalent. These robots typically monitor their distance from workers and slow down or stop when safety thresholds ...