A kernel-based strategy to design Convolutional Neural Network Architecture for learning spatial and temporal representation of weather variables

Even though there exists no universal definition for extreme precipitation events, they can be referred to the period of time in which empirical rainfall thresholds are abruptly exceeded. Therefore, their timely forecasting is of great interest for decision makers from many fields, such as: urban plan...

• Main Author: González Vergara, Juan Fernando (author)
• Format: bachelorThesis
• Language: eng
• Published: 2021
• Subjects: Basado en datos; Pronóstico inmediato; Precipitación extrema; Ingeniería de características; Aprendizaje profundo; Data-driven; Nowcasting; Extreme precipitation; Feature selection; Feature engineering; Deep learning
• Online Access: http://repositorio.yachaytech.edu.ec/handle/123456789/388