An approach to leak detection in pipe networks using analysis of monitored pressure values by support vector machine J Mashford, D De Silva, D Marney, S Burn 2009 Third International Conference on Network and System Security, 534-539, 2009 | 165 | 2009 |
PIRAT—a system for quantitative sewer pipe assessment R Kirkham, PD Kearney, KJ Rogers, J Mashford The International Journal of Robotics Research 19 (11), 1033-1053, 2000 | 145 | 2000 |
Superpixels via pseudo-boolean optimization Y Zhang, R Hartley, J Mashford, S Burn 2011 International Conference on Computer Vision, 1387-1394, 2011 | 136 | 2011 |
Prediction of sewer condition grade using support vector machines J Mashford, D Marlow, D Tran, R May Journal of Computing in Civil Engineering 25 (4), 283-290, 2011 | 111 | 2011 |
Leak detection in simulated water pipe networks using SVM J Mashford, D De Silva, S Burn, D Marney Applied Artificial Intelligence 26 (5), 429-444, 2012 | 79 | 2012 |
A morphological approach to pipe image interpretation based on segmentation by support vector machine J Mashford, M Rahilly, P Davis, S Burn Automation in Construction 19 (7), 875-883, 2010 | 59 | 2010 |
Risk-based prioritization and its application to inspection of valves in the water sector DR Marlow, DJ Beale, JS Mashford Reliability Engineering & System Safety 100, 67-74, 2012 | 47 | 2012 |
Pixel-based colour image segmentation using support vector machine for automatic pipe inspection J Mashford, P Davis, M Rahilly AI 2007: Advances in Artificial Intelligence: 20th Australian Joint …, 2007 | 26 | 2007 |
Airline base schedule optimisation by flight network annealing JS Mashford, BS Marksjö Annals of Operations Research 108, 293-313, 2001 | 23 | 2001 |
A neural network image classification system for automatic inspection JS Mashford Proceedings of ICNN'95-International Conference on Neural Networks 2, 713-717, 1995 | 19 | 1995 |
Exploiting three dimensional vegetation structure to map wildland extent GJ Newnham, AS Siggins, RM Blanchi, DS Culvenor, JE Leonard, ... Remote Sensing of Environment 123, 155-162, 2012 | 17 | 2012 |
A parallel genetic algorithm for quadratic assignment T Li, J Mashford ISMM International Conference on Parallel and Distributed Computing and …, 1990 | 16 | 1990 |
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 | 15 | 2014 |
Development of a fuzzy risk ranking model for prioritizing manhole inspection D Tran, J Mashford, R May, D Marlow Journal of computing in civil engineering 26 (4), 550-557, 2012 | 15 | 2012 |
Errors in yield and overflow estimation in rainwater tank cluster modeling L Neumann, E Coultas, M Moglia, J Mashford 12th International Conference on Urban Drainage, 10-15, 2011 | 15 | 2011 |
Pipeline reconstruction from fisheye images Y Zhang, R Hartley, J Mashford, L Wang, S Burn Václav Skala-UNION Agency, 2011 | 15 | 2011 |
An Approach to Classical Quantum Field Theory Based on the Geometry of Locally Conformally Flat Space‐Time J Mashford Advances in Mathematical Physics 2017 (1), 8070462, 2017 | 10 | 2017 |
Superpixels, occlusion and stereo Y Zhang, R Hartley, J Mashford, S Burn 2011 International Conference on Digital Image Computing: Techniques and …, 2011 | 10 | 2011 |
An approach to pipe image interpretation based condition assessment for automatic pipe inspection J Mashford, D Marlow, S Burn Advances in Civil Engineering 2009 (1), 317097, 2009 | 10 | 2009 |
An approach using mathematical morphology and support vector machines to detect features in pipe images JS Mashford, M Rahilly, P Davis 2008 Digital Image Computing: Techniques and Applications, 84-89, 2008 | 9 | 2008 |