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The impact of the automated ball-strike system (ABS) on baseball: A deep learning based counterfactual approach

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Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, Ahead of Print.
This study investigated the impact of an automated ball-strike system (ABS) on baseball game dynamics and pitcher performance using a deep learning-based counterfactual approach. We developed deep neural network (DNN) models to predict game duration, ...