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Silvia Martín-Suazo

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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56

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Scholarly Papers (2)

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1.

Deep Learning Methods for Multi-Horizon Long-Term Forecasting of Harmful Algal Blooms

Number of pages: 28 Posted: 27 Mar 2024
Silvia Martín-Suazo, Jesús Morón-López, Stanislav Vakaruk, Amit Karamchandani, Juan Antonio Pascual Aguilar, BONIFACIO ALBERTO MOZO VELASCO, Sandra Gómez-Canaval, Meritxell Vinyals and Juan M. Ortiz
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, IMDEA Water Institute, Universidad Politécnica de Madrid, Universidad Politécnica de Madrid, affiliation not provided to SSRN and IMDEA Water Institute
Downloads 37 (1,236,159)

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Deep Learning, chlorophyll, harmful algae bloom, time-series, Forecasting

2.

Transformer-Based Soft-Sensors for High-Frequency Chlorophyll-a Estimation in Algal Bloom Monitoring

Number of pages: 27 Posted: 14 Apr 2026
Silvia Martín-Suazo, Jesús Morón-López, BONIFACIO ALBERTO MOZO VELASCO and Sandra Gómez-Canaval
affiliation not provided to SSRN, Arizona State University (ASU), Universidad Politécnica de Madrid and Universidad Politécnica de Madrid
Downloads 19 (1,500,778)

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Chlorophyll-a, Harmful algal blooms, Deep Learning, Soft-sensor, Transformer, Water quality monitoring