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Barbara Lence

As seen in: AWWA Opflow
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Articles

Deep Learning Sewer Defects Detection: Comparison of Multilabel Utility-Specific Classification ModelsBased on Convolutional Neural Networks

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By Barbara Lence, Sudhir Kshirsagar, Vannary Seng
| ascelibrary.org
Data Availability Statement Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. Acknowledgments This work is supported by Mitacs and Global Quality Corp. (GQC) through a Mitacs Accelerate Grant (No. IT28084) and NSERC Grant (GR001517).
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Testing evolutionary algorithms for optimization of water distribution networks

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By Naser Moosavian, Barbara Lence
| nrcresearchpress.com
Department of Civil Engineering, University of British Columbia, 6250 Applied Science Lane, Vancouver, BC, V2T1Z4, Canada. Received March 2, 2018. Accepted November 8, 2018. Alperovits E, Shamir U. 1977. Design of optimal water distribution systems. Water Resources Research 13(6): 885-900 Crossref, Google Scholar. Bi W, Dandy GC, Maier HR. 2015. Improved genetic algorithm optimization of water distribution system design by incorporating domain knowledge.
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Assessment of water main break data for ASSET MANAGEMENT

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By Andrew Wood Verified, Barbara Lence
| AWWA Opflow Verified
References 1 et al, 1987. A New Methodology for Modeling Break Failure Patterns in Deteriorating Water Distribution Systems: Theory. Advances in Water Resources, 10:1: 2. 2 AWWA, 2004. Water:\Stats Water Utility Database:2002 Version (CD-ROM). AWWA, Denver. 3 et al, 2002. Prioritizing Water Main Replacement and Rehabilitation. AwwaRF, Denver. 4 Earth Tech, 2004. National Water and Wastewater Benchmarking Initiative Final Results: June 2004. Earth Tech, Burnaby, B.C. 5, 2004.
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