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Advanced Computing Strategies for Engineering

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Cover of 'Advanced Computing Strategies for Engineering'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Automatic Object Detection from Digital Images by Deep Learning with Transfer Learning
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    Chapter 2 Data Driven Analytics (Machine Learning) for System Characterization, Diagnostics and Control Optimization
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    Chapter 3 3D Imaging in Construction and Infrastructure Management: Technological Assessment and Future Research Directions
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    Chapter 4 IoT - An Opportunity for Autonomous BIM Reconstruction?
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    Chapter 5 Space Classification from Point Clouds of Indoor Environments Based on Reconstructed Topology
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    Chapter 6 State-of-Practice on As-Is Modelling of Industrial Facilities
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    Chapter 7 Pavement Defects Detection and Classification Using Smartphone-Based Vibration and Video Signals
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    Chapter 8 Optimization Formulations for the Design of Low Embodied Energy Structures Made from Reused Elements
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    Chapter 9 Collaborative Immersive Planning and Training Scenarios in VR
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    Chapter 10 3DFacilities: Annotated 3D Reconstructions of Building Facilities
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    Chapter 11 Meta Models for Real-Time Design Assessment Within an Integrated Information and Numerical Modelling Framework
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    Chapter 12 A Visual Interactive Environment for Engineering Knowledge Modelling
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    Chapter 13 Lessons Learned with Laser Scanning Point Cloud Management in Hadoop HBase
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    Chapter 14 SLAM-Driven Intelligent Autonomous Mobile Robot Navigation for Construction Applications
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    Chapter 15 Making Each Workhour Count: Improving the Prediction of Construction Durations and Resource Allocations
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    Chapter 16 Fiatech: History and Perspectives on Future Research
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    Chapter 17 Advanced Construction Information Modeling: Technology Integration and Education
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    Chapter 18 Derivation of Minimum Required Model for Augmented Reality Based Stepwise Construction Assembly Control
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    Chapter 19 Quantitative Analysis of Close Call Events
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    Chapter 20 Towards a Data-Driven Approach to Injury Prevention in Construction
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    Chapter 21 Visual Data and Predictive Analytics for Proactive Project Controls on Construction Sites
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    Chapter 22 Quantification of Energy Consumption and Carbon Dioxide Emissions During Excavator Operations
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    Chapter 23 Intelligent Computing for Building Performance Analysis
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    Chapter 24 Quality Function Deployment Based Conceptual Framework for Designing Resilient Urban Infrastructure System of Systems
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    Chapter 25 Quantifying Performance Degradation of HVAC Systems for Proactive Maintenance Using a Data-Driven Approach
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    Chapter 26 Vulnerability Distribution Model of Critical Infrastructures Based on Topological System Simulation
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    Chapter 27 Component-Based Machine Learning for Energy Performance Prediction by MultiLOD Models in the Early Phases of Building Design
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    Chapter 28 Detect Relationship Between Urban Housing Development and Urban Heat Island Dynamic in Hyper-density Hong Kong by Integrating GIS and RS Techniques
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    Chapter 29 PPP Cost-Sharing of Multi-purpose Utility Tunnels
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    Chapter 30 Data-Driven, Multi-metric, and Time-Varying (DMT) Building Energy Benchmarking Using Smart Meter Data
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    Chapter 31 Visual Pattern Recognition as a Means to Optimising Building Performance?
Overall attention for this book and its chapters
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Title
Advanced Computing Strategies for Engineering
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-91635-4
ISBNs
978-3-31-991634-7, 978-3-31-991635-4
Authors

Gerrish, Tristan, Ruikar, Kirti, Cook, Malcolm J., Johnson, Mark, Phillip, Mark

Editors

Ian F. C. Smith, Bernd Domer

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 22%
Student > Master 17 21%
Student > Doctoral Student 6 7%
Student > Bachelor 5 6%
Researcher 4 5%
Other 10 12%
Unknown 22 27%
Readers by discipline Count As %
Engineering 39 48%
Computer Science 5 6%
Unspecified 3 4%
Design 2 2%
Business, Management and Accounting 1 1%
Other 4 5%
Unknown 28 34%