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Applications of (Big) Data Analysis in A/E/C

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...

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Bibliographic Details
Main Author: Zhuang, Zheng-Yun
Other Authors: Yang, Ying-Wu, Hsu, Ming-Hung
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Machine Learning
Building Information Model
Fan-blade Damage
3d Point Cloud
Cosine Similarity
Predictive Regression Modelling
Vibration Data
N/a
Waste Pe
Wind Turbines
Water-to-binder Ratio (w/b Ratio)
Deep Learning
High Performance Concrete (hpc)
Single Shot Multibox Detector (ssd)
Decision-making
History Of Engineering & Technology / Bicssc
Real-time Monitoring
Mechanical Condition Monitoring System
Shapley Additive Explanation
Reliability Analysis
Cement Mortar
Foundation Pit
Data Quality Dimensions
Technology: General Issues / Bicssc
Durability
Energy Generation
Heat Map
Object Detection
Correlation Analysis
Vibration Analysis
Experimental Parameters
Accelerometer
Recycling Of Waste Materials
Semiotic Framework
Data-driven Analysis
Rc Slab-column Structure
Fault Diagnosis
Pairwise Comparison Analysis
Maintenance By Prediction
Pre-project Material Testing
Variable Transform
Green Energy
Artificial Intelligence
Environmental Temperature
Semantic Segmentation
Construction Image
Big-data Analytics
Steel Assembly Bracing
Monte Carlo Simulation
Wireless Sensor Network
Highway Data Quality Assessment
Historic Building
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (234 p.)
ISBN:9783036582184
books978-3-0365-8219-1
9783036582191

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