DARSI: A deep auto-regressive time series inference architecture for forecasting of aerodynamic parameters

Published: 01 Jan 2024, Last Modified: 13 May 2025J. Comput. Sci. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Objective: Develop DARSI, a hybrid architecture to predict aerodynamic coefficients.•Performance: DARSI outperforms existing established architectures across metrics.•Versatility: DARSI’s potential spans various time series forecasting applications.•Future Promise: Consistent predictions expected with DARSI enhancements.
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