CLASSIFICATION OF IMBALANCED CLOUD IMAGE DATA USING DEEP NEURAL NETWORKS: PERFORMANCE IMPROVEMENT THROUGH A DATA SCIENCE COMPETITION

Classification of imbalanced cloud image data using deep neural networks: performance improvement through a data science competition

Abstract Image data classification using machine ultrastar dc hc550 learning is an effective method for detecting atmospheric phenomena.However, extreme weather events with a small number of cases cause a decrease in classification prediction accuracy owing to the imbalance in data between the target class and the other classes.To build a highly ac

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Learning opportunities of urban space semiotics

The article deals with the study of the semiotic opportunities of the urban space as a learning tool.The authors analyze the literature on urban research and point to the significant interest of the education system in various manifestations of urban life: architectural, design, environmental, adaptational, etc.The notion of “city” in numerous

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