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

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...

पूर्ण विवरण

में बचाया:

ग्रंथसूची विवरण
मुख्य लेखक:	González Vergara, Juan Fernando (author)
स्वरूप:	bachelorThesis
भाषा:	eng
प्रकाशित:	2021
विषय:	Basado en datos Pronóstico inmediato Precipitación extrema Ingeniería de características Aprendizaje profundo Data-driven Nowcasting Extreme precipitation Feature selection Feature engineering Deep learning
ऑनलाइन पहुंच:	http://repositorio.yachaytech.edu.ec/handle/123456789/388
टैग:	टैग जोड़ें कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!

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