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2020 – today
- 2024
[j11]Pingfan Wang
, Hang Yu, Nanlin Jin, Duncan Davies, Wai Lok Woo:
QuadCDD: A Quadruple-based Approach for Understanding Concept Drift in Data Streams. Expert Syst. Appl. 238(Part E): 122114 (2024)- 2023
- [j10]Pingfan Wang, Nanlin Jin, Duncan Davies, Wai Lok Woo:
Model-centric transfer learning framework for concept drift detection. Knowl. Based Syst. 275: 110705 (2023) - [j9]Jeremy Ellman, Nathan Lee, Nanlin Jin:
Cloud computing deployment: a cost-modelling case-study. Wirel. Networks 29(3): 1069-1076 (2023) - [c27]Jeongyeong Park, Nanlin Jin, Jianjun Chen, Jun Qi:
EEG-based Anxiety Detection with Feature Selection. CyberC 2023: 32-39 - [c26]Muyi Bao, Songhao Li, Nanlin Jin, Quan Zhang:
Visual-Based Hearing-Dog Robots For Users With Hearing Impairment. CyberC 2023: 136-145 - [c25]Ningfei Song, Nanlin Jin, Jingchen Wang, Jie Zhang, Jeremy S. Smith, Yutao Yue, Young-Ae Jung, Ka Lok Man:
Advancements in Battery State of Charge Estimation Methods for Battery Management Systems: A Comprehensive Literature Review. EWDTS 2023: 1-5 - [c24]Yifei Hu, Xinyao Zhuang, Yuxin Wan, Nanlin Jin, Xiaohui Zhu:
Word Orthography and Relationship-Dominant Engineering (WOR-De) Model for Wordle Game. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 563-569 - [c23]Jianing Xu, Bei Zhou, Nanlin Jin:
Policy Updating Methods of Q Learning for Two Player Bargaining Game. PRIS 2023: 51-58 - [c22]Borong Lin, Nanlin Jin:
CapsNet-based drift detection in data stream mining. PRIS 2023: 87-91 - 2022
- [j8]Pingfan Wang, Nanlin Jin, Wai Lok Woo, John R. Woodward, Duncan Davies:
Noise tolerant drift detection method for data stream mining. Inf. Sci. 609: 1318-1333 (2022) - [c21]Haoyu Wu, Zhibin Lin, Borong Lin, Zhenhao Li, Nanlin Jin, Xiaohui Zhu:
Deep Learning To Model The Complexity Of Algal Bloom. CyberC 2022: 114-122 - [c20]Pingfan Wang, Wai Lok Woo, Nanlin Jin, Duncan Davies:
Concept Drift Detection by Tracking Weighted Prediction Confidence of Incremental Learning. IVSP 2022: 218-223 - 2021
- [j7]Muhammad Waqas Khan, Stuart Dunning, Rupert Bainbridge, James Martin, Alejandro Diaz-Moreno, Hamdi Torun, Nanlin Jin, John Woodward, Michael Lim:
Low-Cost Automatic Slope Monitoring Using Vector Tracking Analyses on Live-Streamed Time-Lapse Imagery. Remote. Sens. 13(5): 893 (2021) - 2020
- [j6]Giorgos Tsapparellas, Nanlin Jin, Xuewu Dai, Gerhard Fehringer:
Laplacian Scores-Based Feature Reduction in IoT Systems for Agricultural Monitoring and Decision-Making Support. Sensors 20(18): 5107 (2020) - [c19]Reihane Rahimilarki, Zhiwei Gao, Nanlin Jin, Richard Binns, Aihua Zhang:
Data-driven Sensor Fault Estimation for the Wind Turbine Systems. ISIE 2020: 1211-1216 - [c18]Pingfan Wang, Nanlin Jin, Gerhard Fehringer:
Concept drift detection with False Positive rate for multi-label classification in IoT data stream. UCET 2020: 1-4
2010 – 2019
- 2019
- [j5]Tom Wilcox, Nanlin Jin, Peter A. Flach, Joshua Thumim:
A Big Data platform for smart meter data analytics. Comput. Ind. 105: 250-259 (2019) - [c17]Reihane Rahimilarki, David Zhiwei Gao, Nanlin Jin, Aihua Zhang:
Time-series Deep Learning Fault Detection with the Application of Wind Turbine Benchmark. INDIN 2019: 1337-1342 - [c16]Ranti Endeley, Tom Fleming, Nanlin Jin, Gerhard Fehringer, Steve Cammish:
A Smart Gateway Enabling OPC UA and DDS Interoperability. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 88-93 - [i1]Tiancheng Xia, Richard Jiang, YongQing Fu, Nanlin Jin:
Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices. CoRR abs/1909.05393 (2019) - 2018
- [c15]Elaine Vella, Longzhi Yang, Naveed Anwar, Nanlin Jin:
Adoption of Cloud Computing in Hotel Industry as Emerging Services. iConference 2018: 218-228 - 2017
- [c14]A. Bagley, Gerhard Fehringer, Nanlin Jin, Steve Cammish:
Live video transmission over data distribution service with existing low-power platforms. ICC 2017: 81:1-81:5 - 2016
- [j4]Reem Al-Otaibi, Nanlin Jin, Tom Wilcox, Peter A. Flach:
Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data. IEEE Trans. Ind. Informatics 12(2): 645-654 (2016) - 2014
- [j3]Nanlin Jin, Peter A. Flach, Tom Wilcox, Royston Sellman, Joshua Thumim, Arno J. Knobbe:
Subgroup Discovery in Smart Electricity Meter Data. IEEE Trans. Ind. Informatics 10(2): 1327-1336 (2014) - [c13]Nanlin Jin, Xin Yao:
Heuristic optimization for software project management with impacts of team efficiency. IEEE Congress on Evolutionary Computation 2014: 3016-3023 - [c12]Longzhi Yang, Chengyuan Chen, Nanlin Jin, Xin Fu, Qiang Shen:
Closed form fuzzy interpolation with interval type-2 fuzzy sets. FUZZ-IEEE 2014: 2184-2191 - 2011
- [j2]Nanlin Jin, Edward P. K. Tsang:
Bargaining strategies designed by evolutionary algorithms. Appl. Soft Comput. 11(8): 4701-4712 (2011)
2000 – 2009
- 2009
- [j1]Nanlin Jin, Edward P. K. Tsang, Jin Li:
A constraint-guided method with evolutionary algorithms for economic problems. Appl. Soft Comput. 9(3): 924-935 (2009) - [c11]Nanlin Jin, Daniel S. Chapman, Klaus Hubacek:
Adaptive Land-Use Management in Dynamic Ecological System. EvoWorkshops 2009: 152-161 - 2008
- [c10]Nanlin Jin:
Genetic Algorithm-based ecosystem for heather management. IEEE Congress on Evolutionary Computation 2008: 3282-3288 - [c9]Nanlin Jin, Mette Termansen, Klaus Hubacek:
Genetic Algorithms for dynamic land-use optimization. IEEE Congress on Evolutionary Computation 2008: 3816-3821 - 2007
- [c8]Nanlin Jin, Mette Termansen, Klaus Hubacek, Joseph Holden, Mike Kirkby:
Adaptive farming strategies for dynamic economic environment. IEEE Congress on Evolutionary Computation 2007: 1213-1220 - 2006
- [c7]Nanlin Jin, Edward P. K. Tsang:
Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options. IEEE Congress on Evolutionary Computation 2006: 2149-2156 - [c6]Edward P. K. Tsang, Nanlin Jin:
Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study. EuroGP 2006: 133-144 - [c5]Nanlin Jin:
Indirect co-evolution for understanding belief in an incomplete information dynamic game. GECCO 2006: 383-384 - 2005
- [c4]Timothy Gosling, Nanlin Jin, Edward P. K. Tsang:
Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemma. Congress on Evolutionary Computation 2005: 958-965 - [c3]Nanlin Jin:
Equilibrium selection by co-evolution for bargaining problems under incomplete information about time preferences. Congress on Evolutionary Computation 2005: 2661-2668 - [c2]Nanlin Jin, Edward P. K. Tsang:
Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem. CIG 2005 - [c1]Nanlin Jin, Edward P. K. Tsang:
Relative Fitness and Absolute Fitness for Co-evolutionary Systems. EuroGP 2005: 331-340
Coauthor Index
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