LESSONS LEARNED FROM THE USE OF VIRTUAL REALITY FOR OCCUPATIONAL SAFETY AND HEALTH TRAINING IN THAMES TIDEWAY TUNNEL

Resume

This work is cataloged in the Scientific Portal. Officially published in CIBW099W123: Digital Transformation of Health and Safety in Construction (2023). Referenced as: "Tender, M.; Fuller, Paul; Vaughan, Alex; Chow, Vivien; SILVA, F.O.; Couto, João; santos, ricardo".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.24840/978-972-752-309-2

Bibliographic & Editorial Details

Venue / Journal / Book CIBW099W123: Digital Transformation of Health and Safety in Construction

Publication Venue / Conference Porto, Portugal

Official Identifiers

DOI: https://doi.org/10.24840/978-972-752-309-2

Autores & Descoberta de Ciência ID

Identificação dos autores da instituição e deteção de coautores via FCT Ciência Vitae.

Autor(es) da Instituição

F

Firmino Oliveira da Silva ISLA GAIA / CEOS.PP

Ciência ID: C21A-91DC-B90B

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M

Manuel Luís Vila-Cova Tender ISLA GAIA

Ciência ID: 8218-24BF-6DF6

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Coautores da Obra

Autores discriminados na citação da publicação:

Tender, M.; Fuller, Paul; Vaughan, Alex; Chow, Vivien; SILVA, F.O.; Couto, João; santos, ricardo

Clique no botão acima para consultar a API da FCT e descobrir os perfis Ciência ID dos coautores.

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LESSONS LEARNED FROM THE USE OF VIRTUAL REALITY FOR OCCUPATIONAL SAFETY AND HEALTH TRAINING IN THAMES TIDEWAY TUNNEL 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

LESSONS LEARNED FROM THE USE OF VIRTUAL REALITY FOR OCCUPATIONAL SAFETY AND HEALTH TRAINING IN THAMES TIDEWAY TUNNEL 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Other Related Publications

AI-Driven Predictive Model for Diabetes Risk Assessment - A Class-Balanced Machine Learning Approach with Web-Based Deployment

SiSchool: A QR-Based Mobile Device Control System for Educational Environments

From predicting dropout rates to responsible intervention: explainable machine learning for academic success in higher education

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