Paper submitted and accepted at SN Computer Science Journal
August 3, 2022
The paper “Leveraging Synthetic Data for DNN-based Visual Analysis of Passenger Seats” submitted by the SmaCS project to the SN Computer Science Journal has been accepted.

This paper proposes a methodology to build simulated environments to generate balanced andvaried synthetic data
and avoid including redundant samples to trainclassification DNNs for passenger seat analysis.

SN Computer Scienceis a broad-based, peer reviewed journalthat publishes original research in all the disciplines of computer scienceincluding various inter-disciplinary aspects

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