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Peter E. D. Love ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  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 (Dezember 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 (Januar 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 (März 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 (Dezember 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 (Februar 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 (Januar 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 (Dezember 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 (Mai 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 (Februar 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 (Mai 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 (Oktober 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 (Juli 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 (Februar 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 (Oktober 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 (Januar 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 (Mai 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 (Juli 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 (Februar 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 (März 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 (Januar 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 (Oktober 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 (März 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 (Juli 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 (Oktober 2018).

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

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