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Enhancing Interoperability and Automation of Construction Waste Quantification outlines the construction waste quantification (CWQ) modelling that supports data-driven decision-making in the built environment

Produktbeschreibung
Enhancing Interoperability and Automation of Construction Waste Quantification outlines the construction waste quantification (CWQ) modelling that supports data-driven decision-making in the built environment
Autorenporträt
Subarna Sivashanmugam is Research Associate at the School of Computing, Engineering and Digital Technologies, Teesside University, UK. Sergio Rodriguez-Trejo is Associate Professor of Research at the School of Computing, Engineering and Digital Technologies, Teesside University, UK. Farzad Rahimian is Professor of Digital Engineering at the School of Computing, Engineering and Digital Technologies, Teesside University, UK