A convolutional autoencoder-based method for learning and ranking personal daylighting preference

•Novel method for leaning personal binary daylighting preference.•Two-stage training method: feature extraction module and preference inference module.•CAE-based feature extractor designed to monitor unseen luminance map characteristics.•Inference module: classifying daylighting preference and estim...

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Bibliographic Details

Published in:	Building and environment Vol. 285; p. 113595
Main Authors:	Mah, Dongjun, Tzempelikos, Athanasios
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2025
Subjects:	Convolutional autoencoder (CAE) Luminance map Ordinal ranking Personal daylighting preference Luminance map Ordinal ranking Personal daylighting preference Convolutional autoencoder (CAE)
ISSN:	0360-1323
Online Access:	Get full text
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