BioinformaticsBiology Methods and ProtocolsPeer-reviewed
Convolutional-LSTM Approach for Temporal Catch Hotspots (CATCH): An AI-Driven Model for Spatiotemporal Forecasting of Fisheries Catch Probability Densities
Altair B. Agmata, Svanur Guðmundsson
The paper introduces CATCH, a convolutional-LSTM model that forecasts fish stock probability densities in Icelandic waters using fishing fleet data, achieving high accuracy and generalization across multiple species.
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