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

Published:	March 2022

Author(s)	Title	Page(s)
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

Author(s)

Title

Page(s)

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

Advertisement

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

Articles in this Issue

You have exceeded your monthly download limit!

Structurae Plus subscribers can download 30 media files or data sets per month.
Structurae Pro users are limited to 50.

Required Data

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

Articles in this Issue

You have exceeded your monthly download limit! Structurae Plus subscribers can download 30 media files or data sets per month. Structurae Pro users are limited to 50.

Required Data

You have exceeded your monthly download limit!

Structurae Plus subscribers can download 30 media files or data sets per month.
Structurae Pro users are limited to 50.