ITcon papers tagged with: machine learning

2024 Zhou X, Flood I
Optimization and evaluation of a neural network based policy for real-time control of construction factory processes
ITcon Vol. 29, pg. 84-98,
2024 D’Orazio M, Bernardini G, Di Giuseppe E
Influence of pre-processing methods on the automatic priority prediction of native-language end-users’ maintenance requests through machine learning methods
ITcon Vol. 29, pg. 99-116,
2023 Harichandran A, Raphael B, Mukherjee A
Relevance of deep sequence models for recognising automated construction activities: a case study on a low-rise construction system
ITcon Vol. 28, pg. 458-481,
2023 Sari M, Berawi M A, Zagloel T Y, Madyaningarum N, Miraj P, Pranoto A R, Susantono B, Woodhead R
Machine learning-based energy use prediction for the smart building energy management system
ITcon Vol. 28, pg. 622-645,
2022 Fitzsimmons J P, Lu R, Hong Y, Brilakis I
Construction schedule risk analysis – a hybrid machine learning approach
ITcon Vol. 27, pg. 70-93,
2022 Singh J, Anumba C J
Real-time pipe system installation schedule generation and optimization using artificial intelligence and heuristic techniques
ITcon Vol. 27, pg. 173-190,
2022 Bloch T
Connecting research on semantic enrichment of BIM - review of approaches, methods and possible applications
ITcon Vol. 27, pg. 416-440,
2022 Mohamed B, Moselhi O
Conceptual estimation of construction duration and cost of public highway projects
ITcon Vol. 27, pg. 595-618,
2022 Rampini L, Cecconi F R
Artificial intelligence in construction asset management: a review of present status, challenges and future opportunities
ITcon Vol. 27, pg. 884-913,
2021 Sanni-Anibire M O, Zin R M, Olatunji S O
Machine learning - based framework for construction delay mitigation
ITcon Vol. 26, pg. 303-318,
2018 Akhavian R, Behzadan AH
Coupling human activity recognition and wearable sensors for data-driven construction simulation
ITcon Vol. 23, pg. 1-15,
2018 Loyola M
Big data in building design: a review
ITcon Vol. 23, pg. 259-284,
2013 Bogen AC, Rashid M, East EW, Ross J
Evaluating a data clustering approach for life-cycle facility control
ITcon Vol. 18, pg. 99-118,