Diego Calvetti

Invited Assistant Professor

Universidade do Porto Faculdade de Engenharia

Portugal

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Articles (10)

Exploring the Potential of iPad-LiDAR Technology for Building Renovation Diagnosis: A Case Study

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Year:

2023

Construction Tasks Electronic Process Monitoring: Laboratory Circuit-Based Simulation Deployment

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Year:

2022

Industrial Plants Commissioning Procedures Using Digital Process-Oriented Architecture

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Year:

2022

Incremental Digital Twin Conceptualisations Targeting Data-Driven Circular Construction

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Year:

2021

Labour productivity as a means for assessing environmental impact in the construction industry

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Year:

2021

Recent tools and techniques of BIM-Based Augmented Reality: A systematic review

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Year:

2021

Activity classification using accelerometers and machine learning for complex construction worker activities

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Year:

2020

Worker 4.0: The Future of Sensored Construction Sites

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Year:

2020

Worker 4.0: The future of sensored construction sites

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Year:

2020

Challenges of Upgrading Craft Workforce into Construction 4.0 – Framework and Agreements

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Year:

2020

Collaborators (4)

Hipólito Sousa

Professor Associado

Universidade do Porto Faculdade de Engenharia

PORTUGAL

Alfredo Soeiro

Associate professor

University of Porto

PORTUGAL

Sujesh Sujan

NTNU Fakultet for ingeniorvitenskap og teknologi Trondheim

NORWAY

João Poças Martins

University of Porto

PORTUGAL

Diego Calvetti

Research Interests

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Contact this professor

Articles (10)

Exploring the Potential of iPad-LiDAR Technology for Building Renovation Diagnosis: A Case Study

Construction Tasks Electronic Process Monitoring: Laboratory Circuit-Based Simulation Deployment

Industrial Plants Commissioning Procedures Using Digital Process-Oriented Architecture

Incremental Digital Twin Conceptualisations Targeting Data-Driven Circular Construction

Labour productivity as a means for assessing environmental impact in the construction industry

Recent tools and techniques of BIM-Based Augmented Reality: A systematic review

Activity classification using accelerometers and machine learning for complex construction worker activities

Worker 4.0: The Future of Sensored Construction Sites

Worker 4.0: The future of sensored construction sites

Challenges of Upgrading Craft Workforce into Construction 4.0 – Framework and Agreements

Collaborators (4)

Hipólito Sousa

Alfredo Soeiro

Sujesh Sujan

João Poças Martins

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