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Applications of (Big) Data Analysis in A/E/C
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This Special Issue (SI), entitled “Application of (Big) Data Analysis in A/E/C (architecture, engineering, and construction)”, in Buildings has published quality papers outlining novel contributions of the application of big data theory, modeling techniques, and methodologies as a tool for leveraging data analytics in the building industry. Contributions have covered related topics from various application domains of the global A/E/C industry, including structures/structural engineering, materials/geotechnical engineering, construction design/measure, IS/BIM, transport/energy planning and building management, etc. As can be seen in the editorial essay, some domains have been addressed with more emphasis, but some are not. In addition to the editorial essay, the published research works have also touched almost all phases of (big) data analytics, including data collection and curation, data pre-processing, data analysis, prediction, (data-driven) decision making and decision supports, etc., except that related topics about forecasting are still missing. This allows for identifying ‘hot zones’ of research, in which follow-up research and extended studies should be performed, and ‘cold zones’, awaiting the utilization and novel application of data and theories/models.
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Keywords
- 3D point cloud
- accelerometer
- artificial intelligence
- big-data analytics
- building information model
- cement mortar
- construction image
- correlation analysis
- cosine similarity
- data quality dimensions
- data-driven analysis
- Decision-making
- deep learning
- durability
- energy generation
- environmental temperature
- experimental parameters
- fan-blade damage
- fault diagnosis
- foundation pit
- green energy
- heat map
- high performance concrete (HPC)
- highway data quality assessment
- historic building
- History of engineering & technology
- Machine learning
- maintenance by prediction
- mechanical condition monitoring system
- Monte Carlo simulation
- n/a
- object detection
- pairwise comparison analysis
- pre-project material testing
- predictive regression modelling
- RC slab-column structure
- real-time monitoring
- recycling of waste materials
- reliability analysis
- semantic segmentation
- semiotic framework
- shapley additive explanation
- single shot multibox detector (SSD)
- steel assembly bracing
- Technology, engineering, agriculture
- Technology: general issues
- variable transform
- vibration analysis
- vibration data
- waste PE
- water-to-binder ratio (W/B ratio)
- Wind Turbines
- wireless sensor network
Links
DOI: 10.3390/books978-3-0365-8219-1Editions