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Social distancing enhanced automated optimal design of physical spaces in the wake of the COVID-19 pandemic.
Ugail, Hassan; Aggarwal, Riya; Iglesias, Andrés; Howard, Newton; Campuzano, Almudena; Suárez, Patricia; Maqsood, Muazzam; Aadil, Farhan; Mehmood, Irfan; Gleghorn, Sarah; Taif, Khasrouf; Kadry, Seifedine; Muhammad, Khan.
Afiliação
  • Ugail H; Centre for Visual Computing, University of Bradford, Bradford, UK.
  • Aggarwal R; School of Engineering, University of Newcastle, Newcastle, Australia.
  • Iglesias A; Applied Mathematics and Computational Sciences, University of Cantabria, Santander, Spain.
  • Howard N; Department of Information Science, Toho University, Funabashi, Japan.
  • Campuzano A; Computational Neurosciences Lab, University of Oxford, Oxford, UK.
  • Suárez P; University of Amsterdam, Amsterdam, The Netherlands.
  • Maqsood M; Applied Mathematics and Computational Sciences, University of Cantabria, Santander, Spain.
  • Aadil F; Department of Computer Science, COMSATS University Islamabad, Attock Campus, Pakistan.
  • Mehmood I; Department of Computer Science, COMSATS University Islamabad, Attock Campus, Pakistan.
  • Gleghorn S; Centre for Visual Computing, University of Bradford, Bradford, UK.
  • Taif K; Skipton Girls' High School, Skipton, UK.
  • Kadry S; Centre for Visual Computing, University of Bradford, Bradford, UK.
  • Muhammad K; Department of Mathematics and Computer Science, Beirut Arab University, Beirut, Lebanon.
Sustain Cities Soc ; 68: 102791, 2021 May.
Article em En | MEDLINE | ID: mdl-34703726
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Sustain Cities Soc Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Sustain Cities Soc Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido