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Time Series Image Encoding for Rainfall Classification by aditya730022 is a document available to read on EtoBox.
This paper presents a novel approach for rainfall estimation by transforming time-series data of received signal levels (RSL) from 4G/LTE mobile terminals into images, which are then classified using convolutional neural networks (CNNs). The method addresses the limitations of traditional rainfall estimation techniques, such as rain gauges and weather radars, by utilizing data augmentation techniques to enhance the generated images. The study includes a comprehensive analysis of the dataset and the proposed
- Author
- aditya730022
- Language
- EN