Memory-Efficient Imagification for Light-Weight Prediction Model of Multivariate Time-Series Data

This paper addresses the challenge of memory-efficient time-series forecasting in resource-constrained environments. To this end, an imagification method is proposed that enables lightweight convolutional neural network CNN-based prediction by transforming multivariate time-series data into image re...

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Bibliographic Details
Main Authors: Seungwoo Kang, Ohyun Jo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11023246/
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