A data-driven method based on deep belief networks for backlash error prediction in machining centers.
J. Intell. Manuf., 2020
A study on adaptation lightweight architecture based deep learning models for bearing fault diagnosis under varying working conditions.
Expert Syst. Appl., 2020
An improved biogeography/complex algorithm based on decomposition for many-objective optimization.
Int. J. Mach. Learn. Cybern., 2019
Framework and case study of cognitive maintenance in Industry 4.0.
Frontiers Inf. Technol. Electron. Eng., 2019
A deep learning driven method for fault classification and degradation assessment in mechanical equipment.
Comput. Ind., 2019
Automatic detection of false positive RFID readings using machine learning algorithms.
Expert Syst. Appl., 2018
The Optimization for Hyperbolic Positioning of UHF Passive RFID Tags.
IEEE Trans Autom. Sci. Eng., 2017
Cutting Parameters Optimization Based on ITLBO Algorithm with Big Data Driven.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017
Integrating Eco-design and PLM in the Aviation Completion Industry: A Case Study.
Proceedings of the Product Lifecycle Management for a Global Market, 2014
Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network.
J. Intell. Manuf., 2013
Particle Swarm Optimization (PSO) for the constrained portfolio optimization problem.
Expert Syst. Appl., 2011
Integration of CERIF, ESB and Cloud in the Development of a National Global Research and Administrative Management System.
Proceedings of the Metadata and Semantic Research - 5th International Conference, 2011
Applying Dynamic Causal Mining in Health Service Management.
Int. J. Heal. Inf. Syst. Informatics, 2008
Combining data mining and Game Theory in manufacturing strategy analysis.
J. Intell. Manuf., 2007
Integration of Data Mining with Game Theory.
Proceedings of the Knowledge Enterprise: Intelligent Strategies in Product Design, 2006
Using ANNs to Model Hot Extrusion Manufacturing Process.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005