If you have a hammer everything looks like a nail: traditional versus participatory model building C Prell, K Hubacek, M Reed, C Quinn, N Jin, J Holden, T Burt, M Kirby, ... Interdisciplinary Science Reviews 32 (3), 263-282, 2007 | 214 | 2007 |
Feature construction and calibration for clustering daily load curves from smart-meter data R Al-Otaibi, N Jin, T Wilcox, P Flach IEEE Transactions on industrial informatics 12 (2), 645-654, 2016 | 140 | 2016 |
The future of the uplands MS Reed, A Bonn, W Slee, N Beharry-Borg, J Birch, I Brown, TP Burt, ... Land use policy 26, S204-S216, 2009 | 128 | 2009 |
Anticipating and managing future trade-offs and complementarities between ecosystem services MS Reed, K Hubacek, A Bonn, TP Burt, J Holden, LC Stringer, ... Ecology and Society 18 (1), 2013 | 123 | 2013 |
A Big Data platform for smart meter data analytics T Wilcox, N Jin, P Flach, J Thumim Computers in Industry 105, 250-259, 2019 | 98 | 2019 |
Convolutional neural network fault classification based on time-series analysis for benchmark wind turbine machine R Rahimilarki, Z Gao, N Jin, A Zhang Renewable Energy 185, 916-931, 2022 | 76 | 2022 |
Subgroup discovery in smart electricity meter data N Jin, P Flach, T Wilcox, R Sellman, J Thumim, A Knobbe IEEE Transactions on Industrial Informatics 10 (2), 1327-1336, 2014 | 63 | 2014 |
Modelling the coupled dynamics of moorland management and upland vegetation DS Chapman, M Termansen, CH Quinn, N Jin, A Bonn, SJ Cornell, ... Journal of Applied Ecology 46 (2), 278-288, 2009 | 35 | 2009 |
Automated blood cell detection and counting via deep learning for microfluidic point-of-care medical devices T Xia, R Jiang, YQ Fu, N Jin IOP conference series: materials science and engineering 646 (1), 012048, 2019 | 25 | 2019 |
Closed form fuzzy interpolation with interval type-2 fuzzy sets L Yang, C Chen, N Jin, X Fu, Q Shen 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2184-2191, 2014 | 23 | 2014 |
Population based incremental learning versus genetic algorithms: Iterated prisoners dilemma T Gosling, N Jin, E Tsang Department of Computer Science, University of Essex, England, Tech. Rep. CSM-401, 2004 | 22 | 2004 |
Co-adaptive strategies for sequential bargaining problems with discount factors and outside options N Jin, E Tsang 2006 IEEE International Conference on Evolutionary Computation, 2149-2156, 2006 | 20 | 2006 |
A constraint-guided method with evolutionary algorithms for economic problems N Jin, E Tsang, J Li Applied Soft Computing 9 (3), 924-935, 2009 | 19 | 2009 |
Noise tolerant drift detection method for data stream mining P Wang, N Jin, WL Woo, JR Woodward, D Davies Information Sciences 609, 1318-1333, 2022 | 17 | 2022 |
Cloud computing deployment: a cost-modelling case-study J Ellman, N Lee, N Jin Wireless Networks, 1-8, 2023 | 16 | 2023 |
Equilibrium selection by co-evolution for bargaining problems under incomplete information about time preferences N Jin 2005 IEEE Congress on Evolutionary Computation 3, 2661-2668, 2005 | 16 | 2005 |
Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemma T Gosling, N Jin, E Tsang 2005 IEEE Congress on Evolutionary Computation 1, 958-965, 2005 | 15 | 2005 |
Adaptive farming strategies for dynamic economic environment N Jin, M Termansen, K Hubacek, J Holden, M Kirkby 2007 IEEE Congress on Evolutionary Computation, 1213-1220, 2007 | 14 | 2007 |
A smart gateway enabling opc ua and dds interoperability R Endeley, T Fleming, N Jin, G Fehringer, S Cammish 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 13 | 2019 |
Construction and application of regional input-output models: assessing water consumption in South East and North East of England Y Yu, K Hubacek, D Guan, K Feng Istanbul, Turkey [dostupno na: https://scholar. google. hr/, preuzeto: 10.02 …, 2007 | 13 | 2007 |