| Neural networks for applied sciences and engineering: from fundamentals to complex pattern recognition S Samarasinghe Auerbach publications, 2016 | 1181 | 2016 |
| Determination and modelling of energy consumption in wheat production using neural networks:“A case study in Canterbury province, New Zealand” M Safa, S Samarasinghe Energy 36 (8), 5140-5147, 2011 | 176 | 2011 |
| Complex time series analysis of PM10 and PM2. 5 for a coastal site using artificial neural network modelling and k-means clustering MA Elangasinghe, N Singhal, KN Dirks, JA Salmond, S Samarasinghe Atmospheric Environment 94, 106-116, 2014 | 164 | 2014 |
| A field study of energy consumption in wheat production in Canterbury, New Zealand M Safa, S Samarasinghe, M Mohssen Energy conversion and management 52 (7), 2526-2532, 2011 | 101 | 2011 |
| Prediction of lamb tenderness using image surface texture features MR Chandraratne, S Samarasinghe, D Kulasiri, R Bickerstaffe Journal of Food Engineering 77 (3), 492-499, 2006 | 101 | 2006 |
| Prediction of wheat production using artificial neural networks and investigating indirect factors affecting it: case study in Canterbury province, New Zealand M Safa, S Samarasinghe, M Nejat Journal of Agricultural Science and Technology 17 (4), 791-803, 2015 | 85 | 2015 |
| Detection of mastitis and its stage of progression by automatic milking systems using artificial neural networks Z Sun, S Samarasinghe, J Jago Journal of dairy research 77 (2), 168-175, 2010 | 70 | 2010 |
| Determination of fuel consumption and indirect factors affecting it in wheat production in Canterbury, New Zealand M Safa, S Samarasinghe, M Mohssen Energy 35 (12), 5400-5405, 2010 | 61 | 2010 |
| Classification of lamb carcass using machine vision: Comparison of statistical and neural network analyses MR Chandraratne, D Kulasiri, S Samarasinghe Journal of food engineering 82 (1), 26-34, 2007 | 61 | 2007 |
| Mixed-method integration and advances in fuzzy cognitive maps for computational policy simulations for natural hazard mitigation S Samarasinghe, G Strickert Environmental modelling & software 39, 188-200, 2013 | 53 | 2013 |
| CO2 emissions from farm inputs “Case study of wheat production in Canterbury, New Zealand” M Safa, S Samarasinghe Environmental pollution 171, 126-132, 2012 | 51 | 2012 |
| Use of neural networks to detect minor and major pathogens that cause bovine mastitis KJ Hassan, S Samarasinghe, MG Lopez-Benavides Journal of Dairy Science 92 (4), 1493-1499, 2009 | 49 | 2009 |
| DifFUZZY: a fuzzy clustering algorithm for complex datasets O Cominetti, A Matzavinos, S Samarasinghe, D Kulasiri, S Liu, P Maini, ... International Journal of Computational Intelligence in Bioinformatics and …, 2010 | 45 | 2010 |
| Digital image analysis based automated kiwifruit counting technique P Wijethunga, S Samarasinghe, D Kulasiri, I Woodhead 2008 23rd International Conference Image and Vision Computing New Zealand, 1-6, 2008 | 45 | 2008 |
| A new method for identifying the central nodes in fuzzy cognitive maps using consensus centrality measure M Obiedat, S Samarasinghe Modelling and Simulation Society of Australia and New Zealand, 2011 | 43 | 2011 |
| Stress intensity factor of wood from crack-tip displacement fields obtained from digital image processing S Samarasinghe, D Kulasiri Silva Fennica 38 (3), 267-278, 2004 | 42 | 2004 |
| Neural networks for predicting fracture toughness of individual wood samples S Samarasinghe, D Kulasiri, T Jamieson Silva Fennica 41 (1), 105, 2007 | 40 | 2007 |
| A novel semi-quantitative Fuzzy Cognitive Map model for complex systems for addressing challenging participatory real life problems M Obiedat, S Samarasinghe Applied Soft Computing 48, 91-110, 2016 | 38 | 2016 |
| Mathematical modelling of p53 basal dynamics and DNA damage response KH Chong, S Samarasinghe, D Kulasiri Mathematical Biosciences 259, 27-42, 2015 | 38 | 2015 |
| Novel recurrent neural network for modelling biological networks: oscillatory p53 interaction dynamics H Ling, S Samarasinghe, D Kulasiri Biosystems 114 (3), 191-205, 2013 | 37 | 2013 |
