Text mining and natural language processing in construction
A Shamshiri, KR Ryu, JY Park - Automation in Construction, 2024 - Elsevier
Text mining (TM) and natural language processing (NLP) have stirred interest within the
construction field, as they offer enhanced capabilities for managing and analyzing text …
construction field, as they offer enhanced capabilities for managing and analyzing text …
[HTML][HTML] Moving toward lean construction through automation of planning and control in last planner system: A systematic literature review
Abstract The Last Planner System (LPS) is a production planning and control system based
on Lean Construction (LC) principles. Effectively implementing the LPS in the construction …
on Lean Construction (LC) principles. Effectively implementing the LPS in the construction …
Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm
XJ Luo, LO Oyedele - Advanced Engineering Informatics, 2021 - Elsevier
The real-world building can be regarded as a comprehensive energy engineering system;
its actual energy consumption depends on complex affecting factors, including various …
its actual energy consumption depends on complex affecting factors, including various …
Transformer language model for map** construction schedule activities to uniformat categories
Creating consistency among project schedule data, BIM, and payment applications requires
activities in a construction schedule to be mapped with the most relevant ASTM Uniformat …
activities in a construction schedule to be mapped with the most relevant ASTM Uniformat …
Transformer machine learning language model for auto-alignment of long-term and short-term plans in construction
In construction, master schedules and look-ahead plans are created at different times
(monthly vs. weekly), by different personas (planner vs. superintendent), with different …
(monthly vs. weekly), by different personas (planner vs. superintendent), with different …
[HTML][HTML] The creation of construction schedules in 4D BIM: A comparison of conventional and automated approaches
O Doukari, B Seck, D Greenwood - Buildings, 2022 - mdpi.com
Building Information Modelling (BIM) is now a globally recognised phenomenon, though its
adoption remains inconsistent and variable between and within the construction sectors of …
adoption remains inconsistent and variable between and within the construction sectors of …
Artificial intelligence for BIM content management and delivery: Case study of association rule mining for construction detailing
Abstract The proliferation of Building Information Modeling (BIM) applications, in tandem
with the extensive variation of building products, pose new demands on design and …
with the extensive variation of building products, pose new demands on design and …
Deep learning in construction: Review of applications and potential avenues
EL Jacobsen, J Teizer - Journal of Computing in Civil Engineering, 2022 - ascelibrary.org
Neural networks (NNs) have seen an increase in popularity in the last few years. As found in
several papers, they outperformed other machine learning algorithms and have improved …
several papers, they outperformed other machine learning algorithms and have improved …
Knowledge graph-enabled adaptive work packaging approach in modular construction
Adaptive work packaging is paramount in hel** reduce dynamic gaps between design
and manufacturing in modular construction (MC), particularly in mass customization …
and manufacturing in modular construction (MC), particularly in mass customization …
[PDF][PDF] Prospects of integrating BIM and NLP for automatic construction schedule management
In construction, project schedules are still created and updated manually, which takes time,
causes errors, and leads to poor planning and scheduling, one of the main reasons for …
causes errors, and leads to poor planning and scheduling, one of the main reasons for …