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Feng Luan
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2020 – today
- 2025
- [j11]Han Gao, Yumei Qin, Hao Yuan, Xu Li, Jianzhao Cao, Feng Luan, Dianhua Zhang:
Temporal online self-learning stochastic configuration networks: A study on strip deviation prediction. Inf. Sci. 689: 121446 (2025) - 2024
- [j10]Zishuo Dong, Xu Li
, Feng Luan, Lingming Meng, Jingguo Ding
Fusion of theory and data-driven model in hot plate rolling: A case study of rolling force prediction. Expert Syst. Appl. 245: 123047 (2024) - 2022
- [j9]Xu Li, Yaodong He, Jingguo Ding, Feng Luan, Dianhua Zhang:
Predicting hot-strip finish rolling thickness using stochastic configuration networks. Inf. Sci. 611: 677-689 (2022) - [j8]Xianghua Tian, Feng Luan, Xu Li, Yan Wu, Nan Chen:
Interval prediction of bending force in the hot strip rolling process based on neural network and whale optimization algorithm. J. Intell. Fuzzy Syst. 43(6): 7297-7315 (2022) - 2021
- [j7]Yan Wu, Xu Li
A Novel GPR-Based Prediction Model for Strip Crown in Hot Rolling by Using the Improved Local Outlier Factor. IEEE Access 9: 458-469 (2021) - 2020
- [j6]Jiaqi Pan
FPGA-Based Implementation of Stochastic Configuration Network for Robotic Grasping Recognition. IEEE Access 8: 139966-139973 (2020) - [j5]Yunqi Gao
FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction. Sensors 20(15): 4191 (2020)
2010 – 2019
- 2017
- [c10]Qiqi Bao, Feng Luan, Jingxuan Yang:
Improving the accuracy of beamforming method for moving acoustic source localization in far-field. CISP-BMEI 2017: 1-6 - 2015
- [c9]Feng Luan, Zhiming Zhang, Tianqi Zhang:
A multimodal framework for integrating biological spectral characteristics and MEG/EEG in brain-source imaging. ICNC 2015: 159-164 - 2014
- [c8]Bobo Gu, Wenliang Qi, Yanyan Zhou
High-performance reflective liquid level sensor based on titled fiber Bragg grating inscribed in the thin-core fiber. OFC 2014: 1-3 - 2011
- [c7]Feng Luan, Mads Nygård:
MMET: A Migration Metadata Extraction Tool for Long-Term Preservation Systems. DICTAP (2) 2011: 579-590 - [c6]Lihua Tian, Huitao Liu, Feng Luan
QSPR Study on the prediction of ionization potential of various organic compounds by heuristic method and radial basis function neural network. ICNC 2011: 199-202 - [c5]Feng Luan, Mads Nygård, Guttorm Sindre
Using a multi-criteria decision making approach to evaluate format migration solutions. MEDES 2011: 48-52 - 2010
- [j4]Manivasakan Sabesan, Tore Risch, Feng Luan:
Automated web service query service. Int. J. Web Grid Serv. 6(4): 400-423 (2010) - [j3]Feng Luan, Mads Nygård, Thomas Mestl:
A survey of digital preservation strategies. World Digit. Libr. 3(2): 133-150 (2010) - [c4]Ping Han, Huitao Liu, Yingying Wen, Guangfen Mu, Yuan Gao, Feng Luan
QSPR study for the prediction of UV maximum absorption wavelength of coumarins by heuristic method and radial basis function neural network. ICNC 2010: 1778-1782 - [c3]Feng Luan, Mads Nygård, Thomas Mestl:
A mathematical framework for modeling and analyzing migration time. JCDL 2010: 323-332 - [c2]Feng Luan, Thomas Mestl, Mads Nygård:
Quality Requirements of Migration Metadata in Long-Term Digital Preservation Systems. MTSR 2010: 172-182
2000 – 2009
- 2007
- [c1]Anna Wang, Junfang Liu, Hua Li, Feng Luan, Wenjing Yuan:
A Novel Algorithm for Fault Diagnosis of Analog Circuit with Tolerances Using Improved Binary-tree SVMs Based on SOMNN Clustering. ICNC (1) 2007: 491-496 - 2006
- [j2]Feng Luan, Xiaoyun Zhang, Haixia Zhang, Ruisheng Zhang
Prediction of standard Gibbs energies of the transfer of peptide anions from aqueous solution to nitrobenzene based on support vector machine and the heuristic method. J. Comput. Aided Mol. Des. 20(1): 1-11 (2006) - 2003
- [j1]Huanxiang Liu
Diagnosing Breast Cancer Based on Support Vector Machines. J. Chem. Inf. Comput. Sci. 43(3): 900-907 (2003)
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