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Filtrado por: Departamento, Escuela o Facultad Institute for Future Cities Tipo de recurso http://purl.org/coar/resource_type/c_db06

Using interpretable machine learning for indoor CO₂ level prediction and occupancy estimation

Creador:

Ugwuanyi, Chika

Fecha:

2021

Funder:

SwarmOnline Limited

Department, School or Faculty:

Department of Computer and Information Sciences and Institute for Future Cities