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dc.creatorLabib, Rania
dc.date.accessioned2022-09-19T14:55:25Z
dc.date.available2022-09-19T14:55:25Z
dc.date.issued2022-09-19
dc.identifier.urihttps://hdl.handle.net/1969.1/196864
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBuilding Performance Simulationsen_US
dc.subjectDaylightingen_US
dc.subjectArtifical Intelligenceen_US
dc.subjectHigh Performance Computingen_US
dc.subjectDeep Learningen_US
dc.subjectBPSen_US
dc.subjectNeural Networken_US
dc.subjectMacine learning for daylightingen_US
dc.subjectDaylight Autonomyen_US
dc.subjectIBPSAen_US
dc.titleMachine Learning-Based Framework to Predict Single and Multiple Daylighting Simulation Outputs Using Neural Networksen_US
dc.typeArticleen_US
local.departmentArchitectureen_US
dc.identifier.doi10.26868/25222708.2021.30261


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International