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Deep learning-based method for weather forecasting: A case study in Itoshima
Accurate weather forecasting is of paramount importance for a wide range of practical applications, drawing substantial scientific and societal interest.
MPSA-DenseNet: A novel deep learning model for English accent classification
This paper presents three innovative deep learning models for English accent classification: Multi-DenseNet, PSA-DenseNet, and MPSE-DenseNet, that combine multi-task learning and the PSA module attention mechanism with DenseNet.
A Geometrical Structure for Predator-Avoidance Fish Schooling
This paper conducts a numerical study of a geometrical structure called $\epsilon$-school for predator-avoidance fish schools, based on our previous mathematical model.
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