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Brad Lane
Brad Lane
Verified email at csiro.au
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Cited by
Cited by
Year
An expert system for assessing the technical and economic risk of pipe rehabilitation options
D Marlow, S Gould, B Lane
Expert Systems with Applications 42 (22), 8658-8668, 2015
252015
Edge detection in pipe images using classification of haar wavelet transforms
J Mashford, M Rahilly, B Lane, D Marney, S Burn
Applied artificial intelligence 28 (7), 675-689, 2014
132014
The NatHERS dataset: An exploration of its content, provenance, and usefulness in the characterization of new residential building
M James, M Ambrose, B Lane, A Wright
Energy Procedia 121, 142-149, 2017
102017
Regional and country scale water resource assessment; Informing investments in future water supply in the Asia Pacific Region–a decision support tool
M Moglia, KS Alexander, S Cook, C Sullivan, B Lane, F Lipkin, S Burn, ...
Water for a Healthy Country National Research Flagship: CSIRO, 2008
102008
Rehabilitation of Small‐Diameter Cast‐Iron Pipe: US, UK, and Australian Perspectives
D Marlow, S Gould, D Beale, B Lane
Journal‐American Water Works Association 107 (1), E12-E21, 2015
62015
Selecting techniques for the rehabilitation of small diameter cast iron pipes
D Marlow, D Beale, S Gould, B Lane
WRF, Denver, 2013
52013
Mobile field data collection for post bushfire analysis and african farmers
B Lane, NJ Car, J Leonard, F Lipkin, A Siggins
Environmental Software Systems. Infrastructures, Services and Applications …, 2015
22015
Estimation of remaining physical and economic lifetimes for sewer rising mains
S Gould, D Marlow, P Davis, B Lane, J Hicks
Water: Journal of the Australian Water Association 41 (7), 63-69, 2014
12014
A Neural Markovian Multiresolution Image Labeling Algorithm
J Mashford, B Lane, V Ciesielski, F Lipkin
Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume …, 2020
2020
Practical Tool for Deciding Rehabilitation Techniques for Cast Iron Pipes–
D Beale, D Tran, SGB Lane, D Marlow
2011
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