Nanlin Jin
Nanlin Jin
Verifisert e-postadresse på XJTLU.edu.cn
Sitert av
Sitert av
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
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
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
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
A Big Data platform for smart meter data analytics
T Wilcox, N Jin, P Flach, J Thumim
Computers in Industry 105, 250-259, 2019
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
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
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
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
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
A constraint-guided method with evolutionary algorithms for economic problems
N Jin, E Tsang, J Li
Applied Soft Computing 9 (3), 924-935, 2009
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
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
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
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
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
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
Ecological Economics 69, 1140-1147, 2010
Cloud computing deployment: a cost-modelling case-study
J Ellman, N Lee, N Jin
Wireless Networks, 1-8, 2018
Bargaining strategies designed by evolutionary algorithms
N Jin, E Tsang
Applied Soft Computing 11 (8), 4701-4712, 2011
Time-series deep learning fault detection with the application of wind turbine benchmark
R Rahimilarki, Z Gao, N Jin, A Zhang
2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019
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Artikler 1–20