Items where Author is "Jin, Nanlin"

Article

Bainbridge, Rupert, Lim, Michael, Dunning, Stuart, Winter, Mike G., Diaz-Moreno, Alejandro, Martin, James, Torun, Hamdi, Sparkes, Bradley, Khan, Muhammad Waqas and Jin, Nanlin (2022) Detection and forecasting of shallow landslides: lessons from a natural laboratory. Geomatics, Natural Hazards and Risk, 13 (1). pp. 686-704. ISSN 1947-5705

Rahimilarki, Reihane, Gao, Zhiwei, Jin, Nanlin and Zhang, Aihua (2022) Convolutional neural network fault classification based on time-series analysis for benchmark wind turbine machine. Renewable Energy, 185. pp. 916-931. ISSN 0960-1481

Khan, Muhammad Waqas, Dunning, Stuart, Bainbridge, Rupert, Martin, James, Diaz-Moreno, Alejandro, Torun, Hamdi, Jin, Nanlin, Woodward, John and Lim, Michael (2021) Low-Cost Automatic Slope Monitoring Using Vector Tracking Analyses on Live-Streamed Time-Lapse Imagery. Remote Sensing, 13 (5). p. 893. ISSN 2072-4292

Tsapparellas, Giorgos, Jin, Nanlin, Dai, Xuewu and Fehringer, Gerhard (2020) Laplacian Scores-Based Feature Reduction in IoT Systems for Agricultural Monitoring and Decision-Making Support. Sensors, 20 (18). p. 5107. ISSN 1424-8220

Xia, Tiancheng, Jiang, Richard, Fu, Richard and Jin, Nanlin (2019) Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices. IOP Conference Series: Materials Science and Engineering, 646. 012048. ISSN 1757-899X

Wilcox, Tom and Jin, Nanlin (2019) A Big Data Platform for Smart Meter Data Analytics. Computers in Industry, 105. pp. 250-259. ISSN 0166-3615

Ellman, Jeremy, Lee, Nathan and Jin, Nanlin (2018) Cloud Computing Deployment: A Cost-Modelling Case-Study. Wireless Networks. ISSN 1022-0038 (In Press)

Al-Otaibi, Reem, Jin, Nanlin, Wilcox, Tom and Flach, Peter (2016) Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data. IEEE Transactions on Industrial Informatics, 12 (2). pp. 645-654. ISSN 1551-3203

Jin, Nanlin, Flach, Peter, Wilcox, Tom, Sellman, Royston, Thumim, Joshua and Knobbe, Arno (2014) Subgroup Discovery in Smart Electricity Meter Data. IEEE Transactions on Industrial Informatics, 10 (2). pp. 1327-1336. ISSN 1551-3203

Reed, Mark, Hubacek, Klaus, Bonn, Aletta, Burt, Tim, Holden, Joseph, Stringer, Lindsay, Beharry-Borg, Nesha, Buckmaster, Sarah, Chapman, Dan, Chapman, Pippa, Clay, Gareth, Cornell, Stephen, Dougill, Andrew, Evely, Anna, Fraser, Evan, Jin, Nanlin, Irvine, Brian, Kirkby, Mike, Kunin, William, Prell, Christina, Quinn, Claire, Slee, Bill, Stagl, Sigrid, Termansen, Mette, Thorp, Simon and Worrall, Fred (2013) Anticipating and managing future trade-offs and complementarities between ecosystem services. Ecology and Society, 18 (1). ISSN 1708-3087

Jin, Nanlin and Tsang, Edward (2011) Bargaining strategies designed by evolutionary algorithms. Applied Soft Computing, 11 (8). pp. 4701-4712. ISSN 1568-4946

Reed, Mark, Bonn, Aletta, Slee, Bill, Beharry-Borg, Nesha, Birch, J., Brown, Iain, Burt, Tim, Chapman, Dan, Chapman, Pippa, Clay, Gareth, Cornell, Stephen, Fraser, Evan, Glass, Jayne, Holden, Joseph, Hodgson, Jenny, Hubacek, Klaus, Irvine, Brian, Jin, Nanlin, Kirkby, Mike, Kunin, William, Moore, Oliver, Moseley, Darren, Prell, Christina, Price, Martin, Quinn, Claire, Redpath, Stephen, Reid, Christine, Stagl, Sigrid, Stringer, Lindsay, Termansen, Mette, Thorp, Simon, Towers, Willie and Worrall, Fred (2009) The future of the uplands. Land Use Policy, 26. S204-S216. ISSN 0264 8377

Chapman, Daniel, Termansen, Mette, Quinn, Claire, Jin, Nanlin, Bonn, Aletta, Cornell, Stephen, Fraser, Evan, Hubacek, Klaus, Kunin, William and Reed, Mark (2009) Modelling the coupled dynamics of moorland management and upland vegetation. Journal of Applied Ecology, 46 (2). pp. 278-288. ISSN 0021 8901

Jin, Nanlin, Tsang, Edward and Li, Jin (2009) A constraint-guided method with evolutionary algorithms for economic problems. Applied Soft Computing, 9 (3). pp. 924-935. ISSN 1568-4946

Prell, Christina, Hubacek, Klaus, Reed, Mark, Quinn, Claire, Jin, Nanlin, Holden, Joseph, Burt, Tim, Kirby, Mike and Sendzimir, Jan (2007) If you have a hammer everything looks like a nail: traditional versus participatory model building. Interdisciplinary Science Reviews, 32 (3). pp. 263-282. ISSN 0308-0188

Book Section

Wang, Pingfan, Woo, Wai Lok, Jin, Nanlin and Davies, Duncan (2022) Concept Drift Detection by Tracking Weighted Prediction Confidence of Incremental Learning. In: IVSP 2022: 2022 4th International Conference on Image, Video and Signal Processing. ACM International Conference Proceeding Series . ACM, New York, US, pp. 218-223. ISBN 9781450387415

Jones, Andrew, Ellman, Jeremy and Jin, Nanlin (2019) An Application of Sentiment Analysis Techniques to Determine Public Opinion in Social Media. In: Proceedings International Conference on Information Society (i-Society 2019). International Conference on Information Society. (In Press)

Termansen, Mette, Chapman, Daniel S., Quinn, Claire H., Fraser, Evan D.G., Jin, Nanlin, Beharry-Borg, Nesha and Hubacek, Klaus (2019) Modelling land use dynamics in socio-ecological systems: A case study in the UK uplands. In: Resilience in Complex Socio-ecological Systems. Elsevier, pp. 125-152. ISBN 978-0-08-102854-4

Vella, Elaine, Yang, Longzhi, Anwar, Naveed and Jin, Nanlin (2018) Adoption of Cloud Computing in Hotel Industry as Emerging Services. In: Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science (10766). Springer, Cham, pp. 218-228. ISBN 9783319781044, 9783319781051

Yang, Longzhi, Chen, Chengyuan, Jin, Nanlin, Fu, Xin and Shen, Qiang (2014) Closed form fuzzy interpolation with interval type-2 fuzzy sets. In: 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, Piscataway, NJ, pp. 2184-2191. ISBN 978-1479920730

Jin, Nanlin and Yao, Xin (2014) Heuristic optimization for software project management with impacts of team efficiency. In: 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, Piscataway, NJ, pp. 3016-3023. ISBN 978-1-4799-6626-4

Jin, Nanlin, Chapman, Daniel and Hubacek, Klaus (2009) Adaptive Land-Use Management in Dynamic Ecological System. In: Applications of Evolutionary Computing. Lecture Notes in Computer Science, 5484 . Springer, London, pp. 152-161. ISBN 978-3-642-01128-3

Jin, Nanlin (2008) Genetic Algorithm-based ecosystem for heather management. In: 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence). IEEE, Piscataway, NJ, pp. 3282-3288. ISBN 978-1-4244-1822-0

Jin, Nanlin, Termansen, Mette and Hubacek, Klaus (2008) Genetic Algorithms for dynamic land-use optimization. In: 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence). IEEE, Piscataway, NJ, pp. 3816-3821. ISBN 978-1-4244-1822-0

Jin, Nanlin, Termansen, Mette, Hubacek, Klaus, Holden, Joseph and Kirkby, Mike (2007) Adaptive farming strategies for dynamic economic environment. In: 2007 IEEE Congress on Evolutionary Computation. IEEE, Piscataway, NJ, pp. 1213-1220. ISBN 978-1-4244-1339-3

Jin, Nanlin and Tsang, Edward (2006) Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options. In: 2006 IEEE International Conference on Evolutionary Computation. IEEE, Piscataway, NJ, pp. 2149-2156. ISBN 0-7803-9487-9

Gosling, Timothy, Jin, Nanlin and Tsang, Edward (2006) Games, Supply Chains, and Automatic Strategy Discovery Using Evolutionary Computation. In: Handbook of Research on Nature-Inspired Computing for Economics and Management. IGI Global, Hershey, PA, pp. 572-588. ISBN 978-1-59140-9847

Tsang, Edward and Jin, Nanlin (2006) Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study. In: Genetic programming : 9th European conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006 : proceedings. Springer, London, pp. 133-144. ISBN 978-3-540-33143-8

Jin, Nanlin (2006) Indirect co-evolution for understanding belief in an incomplete information dynamic game. In: Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06. Association for Computing Machinery, New York, pp. 383-384. ISBN 978-1595931863

Jin, Nanlin (2005) Equilibrium Selection by Co-evolution for Bargaining Problems under Incomplete Information about Time Preferences. In: 2005 IEEE Congress on Evolutionary Computation. IEEE, Piscataway, NJ, pp. 2661-2668. ISBN 0-7803-9363-5

Jin, Nanlin and Tsang, Edward (2005) Relative Fitness and Absolute Fitness for Co-evolutionary Systems. In: Genetic Programming. Springer, London, pp. 331-340. ISBN 978-3-540-25436-2

Report

Gosling, Timothy, Jin, Nanlin and Tsang, Edward (2004) Population Based Incremental Learning Versus Genetic Algorithms: Iterated Prisoners Dilemma. Technical Report. University of Essex.

Conference or Workshop Item

Bagley, Anthony, Fehringer, Gerhard, Jin, Nanlin and Cammish, Steve (2017) Live video transmission over data distribution service with existing low-power platforms. In: ICC'17 - Second International Conference on Internet of Things, Data and Cloud Computing, 22nd - 23rd March 2017, Cambridge, UK.

Yang, Longzhi, Chen, Chengyuan, Jin, Nanlin, Fu, Xiaolan and Shen, Qiang (2014) Closed form fuzzy interpolation with interval type-2 fuzzy sets. In: IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014, 6-11 July 2014, Beijing, China.

Yu, Yang, Hubacek, Klaus, Guan, Dabo, Jin, Nanlin and Feng, K. (2007) Construction and application of regional input–output models: assessing water consumption in South East and North East of England. In: 16th International Input–Output Conference of the International Input–Output Association (IIOA), 2–6 July 2007, Istanbul, Turkey.

Jin, Nanlin and Tsang, Edward (2005) Using Evolutionary Algorithms to study Bargaining Problems. In: IEEE Symposium on Computational Intelligence and Games, 4 - 6 April 2005, Essex University.

Jin, Nanlin and Tsang, Edward (2005) Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem. In: IEEE Symposium on Computational Intelligence and Games, 4 - 6 April 2005, Essex University.

Gosling, Timothy, Jin, Nanlin and Tsang, Edward (2005) Population Based Incremental Learning with Guided Mutation Versus Genetic Algorithms: Iterated Prisoners Dilemma. In: Congress on Evolutionary Computation, 2 - 5 September 2005, Edinburgh, Scotland.