Construction Innovation - v. 22, n. 3 (März 2022)

Erschienen:	März 2022

Autor(en)	Titel	Seite(n)
Jacobsen, Emil L. / Solberg, Alex / Golovina, Olga / Teizer, Jochen	Active personalized construction safety training using run-time data collection in physical and virtual reality work environments	531-553
Elghaish, Faris / Matarneh, Sandra T. / Alhusban, Mohammad	The application of "deep learning" in construction site management: scientometric, thematic and critical analysis	580-603
Sadeghineko, Farhad / Kumar, Bimal	Application of semantic Web ontologies for the improvement of information exchange in existing buildings	444-464
Elghaish, Faris / Matarneh, Sandra T. / Edwards, David John / Rahimian, Farzad Pour / El-Gohary, Hatem / Ejohwomu, Obuks	Applications of Industry 4.0 digital technologies towards a construction circular economy: gap analysis and conceptual framework	647-670
Hajirasouli, Aso / Banihashemi, Saeed / Drogemuller, Rob / Fazeli, Abdulwahed / Mohandes, Saeed Reza	Augmented reality in design and construction: thematic analysis and conceptual frameworks	412-443
Reyes Veras, Paola / Renukappa, Suresh / Suresh, Subashini	Awareness of Big Data concept in the Dominican Republic construction industry: an empirical study	465-486
Nguyen, Duy-Cuong / Nguyen, The-Quan / Jin, Ruoyu / Jeon, Chi-Ho / Shim, Chang-Su	BIM-based mixed-reality application for bridge inspection and maintenance	487-503
Elghaish, Faris / Matarneh, Sandra T. / Talebi, Saeed / Abu-Samra, Soliman / Salimi, Ghazal / Rausch, Christopher	Deep learning for detecting distresses in buildings and pavements: a critical gap analysis	554-579
Talebi, Saeed / Wu, Song / Al-Adhami, Mustafa / Shelbourn, Mark / Serugga, Joas	The development of a digitally enhanced visual inspection framework for masonry bridges in the UK	624-646
Lee, Yee Sye / Rashidi, Ali / Talei, Amin / Arashpour, Mehrdad / Rahimian, Farzad Pour	Integration of deep learning and extended reality technologies in construction engineering and management: a mixed review method	671-701
Taniguchi, Koki / Kubota, Satoshi / Yasumuro, Yoshihiro	Quantitative visualization of physical barriers for vulnerable pedestrians based on photogrammetry	604-623
Getuli, Vito / Capone, Pietro / Bruttini, Alessandro / Sorbi, Tommaso	A smart objects library for BIM-based construction site and emergency management to support mobile VR safety training experiences	504-530

Autor(en)

Titel

Seite(n)

Jacobsen, Emil L. / Solberg, Alex / Golovina, Olga / Teizer, Jochen

Active personalized construction safety training using run-time data collection in physical and virtual reality work environments

531-553

Elghaish, Faris / Matarneh, Sandra T. / Alhusban, Mohammad

The application of "deep learning" in construction site management: scientometric, thematic and critical analysis

580-603

Sadeghineko, Farhad / Kumar, Bimal

Application of semantic Web ontologies for the improvement of information exchange in existing buildings

444-464

Elghaish, Faris / Matarneh, Sandra T. / Edwards, David John / Rahimian, Farzad Pour / El-Gohary, Hatem / Ejohwomu, Obuks

Applications of Industry 4.0 digital technologies towards a construction circular economy: gap analysis and conceptual framework

647-670

Hajirasouli, Aso / Banihashemi, Saeed / Drogemuller, Rob / Fazeli, Abdulwahed / Mohandes, Saeed Reza

Augmented reality in design and construction: thematic analysis and conceptual frameworks

412-443

Reyes Veras, Paola / Renukappa, Suresh / Suresh, Subashini

Awareness of Big Data concept in the Dominican Republic construction industry: an empirical study

465-486

Nguyen, Duy-Cuong / Nguyen, The-Quan / Jin, Ruoyu / Jeon, Chi-Ho / Shim, Chang-Su

BIM-based mixed-reality application for bridge inspection and maintenance

487-503

Elghaish, Faris / Matarneh, Sandra T. / Talebi, Saeed / Abu-Samra, Soliman / Salimi, Ghazal / Rausch, Christopher

Deep learning for detecting distresses in buildings and pavements: a critical gap analysis

554-579

Talebi, Saeed / Wu, Song / Al-Adhami, Mustafa / Shelbourn, Mark / Serugga, Joas

The development of a digitally enhanced visual inspection framework for masonry bridges in the UK

624-646

Lee, Yee Sye / Rashidi, Ali / Talei, Amin / Arashpour, Mehrdad / Rahimian, Farzad Pour

Integration of deep learning and extended reality technologies in construction engineering and management: a mixed review method

671-701

Taniguchi, Koki / Kubota, Satoshi / Yasumuro, Yoshihiro

Quantitative visualization of physical barriers for vulnerable pedestrians based on photogrammetry

604-623

Getuli, Vito / Capone, Pietro / Bruttini, Alessandro / Sorbi, Tommaso

A smart objects library for BIM-based construction site and emergency management to support mobile VR safety training experiences

504-530

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Construction Innovation - v. 22, n. 3 (März 2022)

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Construction Innovation - v. 22, n. 3 (März 2022)

Artikel in dieser Ausgabe

Sie haben Ihr monatliches Download-Limit überschritten! Structurae Plus-Abonnent·innen können 30 Medien bzw. Datensätze pro Monat herunterladen. Structurae Pro-Nutzer·innen sind auf 50 beschränkt.

Pflichtangaben

Sie haben Ihr monatliches Download-Limit überschritten!

Structurae Plus-Abonnent·innen können 30 Medien bzw. Datensätze pro Monat herunterladen.
Structurae Pro-Nutzer·innen sind auf 50 beschränkt.