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Human-Centric Artificial Intelligence of Things–Based Indoor Environment Quality Modeling Framework for Supporting Student Well-Being in Educational Facilities
Publisher: ASCE
Abstract: Maintaining the quality of indoor environments in educational facilities is crucial for student comfort, health, well-being, and students’ learning performance. Current indoor environment maintenance practices and building ...
Hierarchical Representation and Deep Learning–Based Method for Automatically Transforming Textual Building Codes into Semantic Computable Requirements
Publisher: ASCE
Abstract: Most of the existing automated compliance checking (ACC) systems are unable to fully automatically convert building-code requirements, especially requirements that have hierarchically complex semantic and syntactic structures, ...
Multimodal Data Fusion and Deep Learning for Occupant-Centric Indoor Environmental Quality Classification
Publisher: American Society of Civil Engineers
Abstract: Amidst the growing recognition of the impact of indoor environmental conditions on buildings and occupant comfort, health, and well-being, there has been an increasing focus on the assessment and modeling of indoor ...
Clustering-Based Approach for Building Code Computability Analysis
Publisher: ASCE
Abstract: One common limitation of all automated code compliance-checking methods and tools is their inability to deal with all types of building-code requirements. More research is needed to better identify the different types of ...