Development of an interpretable machine-learning model for capturing nonlinear dynamics of multisensory interactions in public open spaces.

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Bibliographic Details
Title: Development of an interpretable machine-learning model for capturing nonlinear dynamics of multisensory interactions in public open spaces.
Authors: Lin, Minqi1 (AUTHOR), Chau, Chi Kwan1 (AUTHOR), Hou, Huiying (Cynthia)1 (AUTHOR) cynthia.hou@polyu.edu.hk, Tang, Shiu Keung2 (AUTHOR)
Source: Building & Environment. Jul2025, Vol. 280, pN.PAG-N.PAG. 1p.
Database: Environment Complete
Description
ISSN:03601323
DOI:10.1016/j.buildenv.2025.113072