research
∙
12/05/2021
Enhancing Data-driven Multiscale Topology Optimization with Generalized De-homogenization
De-homogenization is becoming an effective method to significantly exped...
share
research
∙
07/28/2021
Mechanical Cloak via Data-Driven Aperiodic Metamaterial Design
Mechanical cloaks are materials engineered to manipulate the elastic res...
research
∙
06/26/2021
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors
Scientific and engineering problems often require the use of artificial ...
research
∙
06/11/2021
Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization
For natural frequency optimization of engineering structures, cellular c...
research
∙
06/27/2020
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems
Metamaterials are emerging as a new paradigmatic material system to rend...
research
∙
06/27/2020
Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process
The data-driven approach is emerging as a promising method for the topol...
research
∙
05/13/2012
Operations on soft sets revisited
Soft sets, as a mathematical tool for dealing with uncertainty, have rec...
research
∙
02/01/2011
Information-theoretic measures associated with rough set approximations
Although some information-theoretic measures of uncertainty or granulari...
research
∙
02/04/2010
Homomorphisms between fuzzy information systems revisited
Recently, Wang et al. discussed the properties of fuzzy information syst...
research
∙
02/02/2010
Some improved results on communication between information systems
To study the communication between information systems, Wang et al. [C. ...
research
∙
11/28/2009
An axiomatic approach to the roughness measure of rough sets
In Pawlak's rough set theory, a set is approximated by a pair of lower a...
research
∙
11/28/2009
Covering rough sets based on neighborhoods: An approach without using neighborhoods
Rough set theory, a mathematical tool to deal with inexact or uncertain ...
research
∙
08/27/2009
