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Journal Articles
- 2024
[j9]Albertus Untadi
, Lily D. Li, Michael M. Li, Roland Dodd:
Incorporating Socio-Economic Factors in Maximizing Two-Dimensional Demand Coverage and Minimizing Distance to Uncovered Demand: A Dual-Objective MCLP Approach for Fire Station Location Selection. Axioms 13(1): 13 (2024)- [j8]Qing Huang, Michael M. Li, Dan Agustin, Lily D. Li, Meena Jha:
A Novel CNN Model for Classification of Chinese Historical Calligraphy Styles in Regular Script Font. Sensors 24(1): 197 (2024) - 2023
- [j7]Albertus Untadi, Lily D. Li, Michael M. Li, Roland Dodd:
Modeling Socioeconomic Determinants of Building Fires through Backward Elimination by Robust Final Prediction Error Criterion. Axioms 12(6): 524 (2023) - 2021
- [j6]Michael M. Li, Santoso Wibowo, Wei Li, Lily D. Li:
Quantitative Spectral Data Analysis Using Extreme Learning Machines Algorithm Incorporated with PCA. Algorithms 14(1): 18 (2021) - 2020
- [j5]Michael M. Li, Lily D. Li:
A Novel Method of Curve Fitting Based on Optimized Extreme Learning Machine. Appl. Artif. Intell. 34(12): 849-865 (2020) - 2016
- [j4]Michael M. Li, Brijesh K. Verma:
Nonlinear curve fitting to stopping power data using RBF neural networks. Expert Syst. Appl. 45: 161-171 (2016) - 2009
- [j3]William W. Guo, Michael M. Li, Gregory K. Whymark, Zheng-Xiang Li:
Mutual complement between statistical and neural network approaches for rock magnetism data analysis. Expert Syst. Appl. 36(6): 9678-9682 (2009) - [j2]Michael M. Li, William W. Guo, Brijesh K. Verma, Kevin Tickle, John O'Connor:
Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing. Neural Comput. Appl. 18(5): 423-430 (2009) - 2008
- [j1]Michael M. Li, Brijesh K. Verma, Xiaolong Fan, Kevin Tickle:
RBF neural networks for solving the inverse problem of backscattering spectra. Neural Comput. Appl. 17(4): 391-397 (2008)
Conference and Workshop Papers
- 2021
- [c8]Kaixiang Zhu, Lily D. Li, Michael M. Li:
Developing an Online Examination Timetabling System Using Artificial Bee Colony Algorithm in Higher Education. BROADNETS 2021: 112-131 - 2016
- [c7]Michael M. Li:
The Development of a Nonlinear Curve Fitter Using RBF Neural Networks with Hybrid Neurons. ISNN 2016: 434-443 - 2015
- [c6]Paul Moore, Brijesh K. Verma, Michael M. Li:
A neural network based method to determine initial object positions for segmentation. ICNC 2015: 620-626 - [c5]Michael M. Li, Brijesh K. Verma:
An Improved RBF Neural Network Approach to Nonlinear Curve Fitting. IWANN (2) 2015: 262-275 - 2013
- [c4]Chien-Yuan Chiu, Brijesh K. Verma, Michael M. Li:
Impact of variability in data on accuracy and diversity of neural network based ensemble classifiers. IJCNN 2013: 1-5 - 2012
- [c3]Michael M. Li, William W. Guo, Brijesh K. Verma, Hong Lee:
A neural networks-based fitting to high energy stopping power data for heavy ions in solid matter. IJCNN 2012: 1-6 - 2006
- [c2]Michael M. Li, Xiaolong Fan, Kevin Tickle:
Principal Component Analysis and Neural Networks for Analysis of Complex Spectral Data from Ion Backscattering. Artificial Intelligence and Applications 2006: 228-234 - 2005
- [c1]Michael M. Li, Xiaolong Fan, Brijesh K. Verma, Ron Balsys, John O'Connor:
Artificial neural network techniques for analysis of ion backscattering spectra. IC-AI 2005: 175-182
Coauthor Index
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