Dr Jennifer Schooling
Dr Jennifer Schooling
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Cited by
Cited by
Developing a digital twin at building and city levels: Case study of West Cambridge campus
Q Lu, AK Parlikad, P Woodall, G Don Ranasinghe, X Xie, Z Liang, ...
Journal of Management in Engineering 36 (3), 05020004, 2020
Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance
Q Lu, X Xie, AK Parlikad, JM Schooling
Automation in Construction 118, 103277, 2020
Design and development of BIM models to support operations and maintenance
J Heaton, AK Parlikad, J Schooling
Computers in industry 111, 172-186, 2019
From BIM towards digital twin: strategy and future development for smart asset management
Q Lu, X Xie, J Heaton, AK Parlikad, J Schooling
Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry …, 2020
A socio-technical perspective on urban analytics: The case of city-scale digital twins
T Nochta, L Wan, JM Schooling, AK Parlikad
Journal of Urban Technology 28 (1-2), 263-287, 2021
Gemini principles
A Bolton, L Butler, I Dabson, M Enzer, M Evans, T Fenemore, ...
CDBB, 2018
Moving from building information models to digital twins for operation and maintenance
Q Lu, X Xie, AK Parlikad, JM Schooling, E Konstantinou
Proceedings of the Institution of Civil Engineers-Smart Infrastructure and …, 2020
Design and implementation of a smart infrastructure digital twin
DG Broo, M Bravo-Haro, J Schooling
Automation in construction 136, 104171, 2022
The Gemini Principles: Guiding values for the national digital twin and information management framework
A Bolton, M Enzer, J Schooling
Centre for digital built britain and digital framework task group, 2018
Developing a city-level digital twin–propositions and a case study
L Wan, T Nochta, JM Schooling
International conference on smart infrastructure and construction 2019 …, 2019
Visualised inspection system for monitoring environmental anomalies during daily operation and maintenance
X Xie, Q Lu, D Rodenas-Herraiz, AK Parlikad, JM Schooling
Engineering, Construction and Architectural Management 27 (8), 1835-1852, 2020
Digital twins in infrastructure: definitions, current practices, challenges and strategies
DG Broo, J Schooling
International Journal of Construction Management 23 (7), 1254-1263, 2023
A Building Information Modelling approach to the alignment of organisational objectives to Asset Information Requirements
J Heaton, AK Parlikad, J Schooling
Automation in Construction 104, 14-26, 2019
An example of the use of neural computing techniques in materials science—the modelling of fatigue thresholds in Ni-base superalloys
JM Schooling, M Brown, PAS Reed
Materials Science and Engineering: A 260 (1-2), 222-239, 1999
Infrastructure sensing
K Soga, J Schooling
Interface focus 6 (4), 20160023, 2016
Digital twin enabled asset anomaly detection for building facility management
X Xie, Q Lu, AK Parlikad, JM Schooling
Ifac-PapersOnline 53 (3), 380-385, 2020
Automatic number plate recognition (ANPR) in smart cities: A systematic review on technological advancements and application cases
J Tang, L Wan, J Schooling, P Zhao, J Chen, S Wei
Cities 129, 103833, 2022
Does historical data still count? Exploring the applicability of smart building applications in the post-pandemic period
X Xie, Q Lu, M Herrera, Q Yu, AK Parlikad, JM Schooling
Sustainable Cities and Society 69, 102804, 2021
Towards the future-proofing of UK infrastructure
T Masood, D McFarlane, AK Parlikad, J Dora, A Ellis, J Schooling
Infrastructure Asset Management 3 (1), 28-41, 2016
A framework for using data as an engineering tool for sustainable cyber-physical systems
DG Broo, J Schooling
IEEE Access 9, 22876-22882, 2021
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