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Peter E. D. Love ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Fang, Weili / Love, Peter E. D. / Luo, Hanbin / Xu, Shuangjie (2022): A deep learning fusion approach to retrieve images of People's unsafe behavior from construction sites. In: Developments in the Built Environment, v. 12 (December 2022).

    https://doi.org/10.1016/j.dibe.2022.100085

  2. García Rodríguez, Manuel J. / Rodríguez-Montequín, Vicente / Ballesteros-Pérez, Pablo / Love, Peter E. D. / Signor, Regis (2022): Collusion detection in public procurement auctions with machine learning algorithms. In: Automation in Construction, v. 133 (January 2022).

    https://doi.org/10.1016/j.autcon.2021.104047

  3. Liu, Junxiao / Love, Peter E. D. / Davis, Peter R. / Smith, Jim / Regan, Michael (2015): Conceptual Framework for the Performance Measurement of Public-Private Partnerships. In: Journal of Infrastructure Systems, v. 21, n. 1 (March 2015).

    https://doi.org/10.1061/(asce)is.1943-555x.0000210

  4. Love, Peter E. D. / Ahiaga-Dagbui, Dominic D. / Smith, Simon D. / Sing, Michael C.-P / Tokede, Olubukola (2018): Cost Profiling of Water Infrastructure Projects. In: Journal of Infrastructure Systems, v. 24, n. 4 (December 2018).

    https://doi.org/10.1061/(asce)is.1943-555x.0000441

  5. Love, Peter E. D. (2020): Creating a mindfulness to learn from errors: Enablers of rework containment and reduction in construction. In: Developments in the Built Environment, v. 1 (February 2020).

    https://doi.org/10.1016/j.dibe.2019.100001

  6. Ekambaram, Palaneeswaran / Love, Peter E. D. / Kumaraswamy, Mohan M. / Ng, Thomas S. T. (2014): Causal ascription of rework in building and civil engineering projects. A multivariate exploration. In: Engineering, Construction and Architectural Management, v. 21, n. 1 (January 2014).

    https://doi.org/10.1108/ecam-04-2010-0029

  7. Sheng, Da / Ding, Lieyun / Zhong, Botao / Love, Peter E. D. / Luo, Hanbin / Chen, Jiageng (2020): Construction quality information management with blockchains. In: Automation in Construction, v. 120 (December 2020).

    https://doi.org/10.1016/j.autcon.2020.103373

  8. Zhong, Botao / Pan, Xing / Love, Peter E. D. / Ding, Lieyun / Fang, Weili (2020): Deep learning and network analysis: Classifying and visualizing accident narratives in construction. In: Automation in Construction, v. 113 (May 2020).

    https://doi.org/10.1016/j.autcon.2020.103089

  9. Fang, Weili / Ding, Lieyun / Love, Peter E. D. / Luo, Hanbin / Li, Heng / Peña-Mora, Feniosky / Zhong, Botao / Zhou, Cheng (2020): Computer vision applications in construction safety assurance. In: Automation in Construction, v. 110 (February 2020).

    https://doi.org/10.1016/j.autcon.2019.103013

  10. Bullen, Peter A. / Love, Peter E. D. (2011): Adaptive reuse of heritage buildings. In: Structural Survey, v. 29, n. 5 (November 2011).

    https://doi.org/10.1108/02630801111182439

  11. Davis, Peter R. / Love, Peter E. D. / Baccarini, David (2009): Bills of Quantities: nemesis or nirvana?. In: Structural Survey, v. 27, n. 2 (May 2009).

    https://doi.org/10.1108/02630800910956434

  12. Love, Peter E. D. / Smith, Jim (2003): Benchmarking, Benchaction, and Benchlearning: Rework Mitigation in Projects. In: Journal of Management in Engineering (ASCE), v. 19, n. 4 (October 2003).

    https://doi.org/10.1061/(asce)0742-597x(2003)19:4(147)

  13. Love, Peter E. D. / Matthews, Jane / Lockley, Steve (2015): BIM for Built Asset Management. In: Built Environment Project and Asset Management, v. 5, n. 3 (July 2015).

    https://doi.org/10.1108/bepam-12-2014-0062

  14. Dyson, Kristy / Matthews, Jane / Love, Peter E. D. (2016): Critical success factors of adapting heritage buildings: an exploratory study. In: Built Environment Project and Asset Management, v. 6, n. 1 (February 2016).

    https://doi.org/10.1108/bepam-01-2015-0002

  15. Love, Peter E. D. (2009): Communities and champions of practice: catalysts for learning and knowing. In: Construction Innovation, v. 9, n. 4 (October 2009).

    https://doi.org/10.1108/14714170910995912

  16. Love, Peter E. D. / Edwards, David J. / Smith, Jim (2005): Contract Documentation and the Incidence of Rework in Projects. In: Architectural Engineering and Design Management, v. 1, n. 4 (January 2005).

    https://doi.org/10.1080/17452007.2005.9684596

  17. Signor, Regis / Love, Peter E. D. / Olatunji, Oluwole / Vallim, João J. C. B. / Raupp, Alexandre B. (2017): Collusive bidding in Brazilian infrastructure projects. In: Proceedings of the Institution of Civil Engineers - Forensic Engineering, v. 170, n. 3 (August 2017).

    https://doi.org/10.1680/jfoen.17.00013

  18. Love, Peter E. D. / Niedzweicki, Michael / Bullen, Peter A. / Edwards, David J. (2012): Achieving the Green Building Council of Australia's World Leadership Rating in an Office Building in Perth. In: Journal of Construction Engineering and Management, v. 138, n. 5 (May 2012).

    https://doi.org/10.1061/(asce)co.1943-7862.0000461

  19. Forcada, Nuria / Macarulla, Marcel / Love, Peter E. D. (2013): Assessment of Residential Defects at Post-Handover. In: Journal of Construction Engineering and Management, v. 139, n. 4 (April 2013).

    https://doi.org/10.1061/(asce)co.1943-7862.0000603

  20. Wang, Xiangyu / Kim, Mi Jeong / Love, Peter E. D. / Kang, Shih-Chung (2013): Augmented Reality in built environment: Classification and implications for future research. In: Automation in Construction, v. 32 (July 2013).

    https://doi.org/10.1016/j.autcon.2012.11.021

  21. Ding, Lieyun / Fang, Weili / Luo, Hanbin / Love, Peter E. D. / Zhong, Botao / Ouyang, Xi (2018): A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory. In: Automation in Construction, v. 86 (February 2018).

    https://doi.org/10.1016/j.autcon.2017.11.002

  22. Love, Peter E. D. / Edwards, David J. (2005): Calculating total rework costs in Australian construction projects. In: Civil Engineering and Environmental Systems, v. 22, n. 1 (March 2005).

    https://doi.org/10.1080/10286600500049904

  23. Wang, Xiangyu / Love, Peter E. D. / Kim, Mi Jeong / Park, Chan-Sik / Sing, Chun-Pong / Hou, Lei (2013): A conceptual framework for integrating building information modeling with augmented reality. In: Automation in Construction, v. 34 (September 2013).

    https://doi.org/10.1016/j.autcon.2012.10.012

  24. Yang, Junli / Edwards, David J. / Love, Peter E. D. (2003): A computational intelligent fuzzy model approach for excavator cycle time simulation. In: Automation in Construction, v. 12, n. 6 (November 2003).

    https://doi.org/10.1016/s0926-5805(03)00056-6

  25. Love, Peter E. D. / Matthews, Jane / Simpson, Ian / Hill, Andrew / Olatunji, Oluwole A. (2014): A benefits realization management building information modeling framework for asset owners. In: Automation in Construction, v. 37 (January 2014).

    https://doi.org/10.1016/j.autcon.2013.09.007

  26. Akanmu, Abiola / Olatunji, Oluwole / Love, Peter E. D. / Nguyen, Duy / Matthews, Jane (2016): Auto-generated site layout: an integrated approach to real-time sensing of temporary facilities in infrastructure projects. In: Structure and Infrastructure Engineering, v. 12, n. 10 (October 2016).

    https://doi.org/10.1080/15732479.2015.1110601

  27. Love, Peter E. D. / Edwards, David J. (2013): Curbing rework in offshore projects: systemic classification of risks with dialogue and narratives. In: Structure and Infrastructure Engineering, v. 9, n. 11 (November 2013).

    https://doi.org/10.1080/15732479.2012.667419

  28. Li, Heng / Love, Peter E. D. (1999): Combining rule-based expert systems and artificial neural networks for mark-up estimation. In: Construction Management and Economics, v. 17, n. 2 (March 1999).

    https://doi.org/10.1080/014461999371664

  29. Ahiaga-Dagbui, Dominic D. / Love, Peter E. D. / Whyte, Andrew / Boateng, Prince (2017): Costing and Technological Challenges of Offshore Oil and Gas Decommissioning in the U.K. North Sea. In: Journal of Construction Engineering and Management, v. 143, n. 7 (July 2017).

    https://doi.org/10.1061/(asce)co.1943-7862.0001317

  30. Luo, Hanbin / Xiong, Chaohua / Fang, Weili / Love, Peter E. D. / Zhang, Bowen / Ouyang, Xi (2018): Convolutional neural networks: Computer vision-based workforce activity assessment in construction. In: Automation in Construction, v. 94 (October 2018).

    https://doi.org/10.1016/j.autcon.2018.06.007

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