A review on the current usage of machine learning tools for daylighting design and control

J Ngarambe, I Adilkhanova, B Uwiragiye… - Building and …, 2022 - Elsevier
Proper use of daylighting improves visual and thermal comfort in indoor environments and
minimizes dependency on artificial lighting, saving substantial amounts of energy …

[HTML][HTML] Virtual reality and machine learning for predicting visual attention in a daylit exhibition space: A proof of concept

F Fathy, Y Mansour, H Sabry, M Refat… - Ain Shams Engineering …, 2023 - Elsevier
Lighting features act as driving forces that control visual attention and perception. VR can
analyse the relationship between human behavior and environment stimuli, while machine …

Conceptual framework for daylighting and facade design in museums and exhibition spaces

F Fathy, Y Mansour, H Sabry, M Refat, A Wagdy - Solar Energy, 2020 - Elsevier
Limited attention has been paid to daylight performance concerning layout design and
human perception of luminance environments in museums. Assessments are focused on the …

Machine Learning Framework for developing glare predictive models

A Wagdy, V Garcia Hansen, M Elhenawy… - CIE Australia …, 2020 - eprints.qut.edu.au
Although in the last decade many indices and metrics have been developed to predict glare
in the built environment, there is a lack of consensus-based glare metrics that could …

Machine learning in glare analysis: A new framework for glare prediction in open-plan offices

A Wagdy, V Garcia Hansen, M Elhenawy… - PLEA 2020-Planning …, 2020 - eprints.qut.edu.au
Accurate glare prediction is a challenging task due to its subjective nature, as occupants'
sensitivity to visual discomfort may differ under the same conditions depending on the …

[PDF][PDF] Machine Learning in Glare Analysis

A WAGDY, V GARCIA-HANSEN, M ELHENAWY… - researchgate.net
Accurate glare prediction is a challenging task due to its subjective nature, as occupants'
sensitivity to visual discomfort may differ under the same conditions depending on the …