Michael M. Li
Orcid: 0000-0002-6019-1035
According to our database1,
Michael M. Li
authored at least 17 papers
between 2005 and 2024.
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Bibliography
2024
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, January, 2024
A Novel CNN Model for Classification of Chinese Historical Calligraphy Styles in Regular Script Font.
Sensors, 2024
2023
Modeling Socioeconomic Determinants of Building Fires through Backward Elimination by Robust Final Prediction Error Criterion.
Axioms, June, 2023
2021
Quantitative Spectral Data Analysis Using Extreme Learning Machines Algorithm Incorporated with PCA.
Algorithms, 2021
Developing an Online Examination Timetabling System Using Artificial Bee Colony Algorithm in Higher Education.
Proceedings of the Broadband Communications, Networks, and Systems, 2021
2020
Appl. Artif. Intell., 2020
2016
Expert Syst. Appl., 2016
The Development of a Nonlinear Curve Fitter Using RBF Neural Networks with Hybrid Neurons.
Proceedings of the Advances in Neural Networks - ISNN 2016, 2016
2015
Proceedings of the Advances in Computational Intelligence, 2015
A neural network based method to determine initial object positions for segmentation.
Proceedings of the 11th International Conference on Natural Computation, 2015
2013
Impact of variability in data on accuracy and diversity of neural network based ensemble classifiers.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
A neural networks-based fitting to high energy stopping power data for heavy ions in solid matter.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2009
Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing.
Neural Comput. Appl., 2009
Mutual complement between statistical and neural network approaches for rock magnetism data analysis.
Expert Syst. Appl., 2009
2008
Neural Comput. Appl., 2008
2006
Principal Component Analysis and Neural Networks for Analysis of Complex Spectral Data from Ion Backscattering.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006
2005
Artificial neural network techniques for analysis of ion backscattering spectra.
Proceedings of the 2005 International Conference on Artificial Intelligence, 2005