-
Article
Open AccessProgressive transfer learning for advancing machine learning-based reduced-order modeling
To maximize knowledge transfer and improve the data requirement for data-driven machine learning (ML) modeling, a progressive transfer learning for reduced-order modeling (p-ROM) framework is proposed. A key c...
-
Article
Open AccessReduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
We propose a unified data-driven reduced order model (ROM) that bridges the performance gap between linear and nonlinear manifold approaches. Deep learning ROM (DL-ROM) using deep-convolutional autoencoders (D...
-
Article
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks
Here we employ and adapt the image-to-image translation concept based on conditional generative adversarial networks (cGAN) for learning a forward and an inverse solution operator of partial differential equat...
-
Article
A dual mesh method with adaptivity for stress-constrained topology optimization
This paper is concerned with the topological optimization of elastic structures, with the goal of minimizing the compliance and/or mass of the structure, subject to a stress constraint. It is well known that d...
-
Article
A Practical Factorization of a Schur Complement for PDE-Constrained Distributed Optimal Control
A distributed optimal control problem with the constraint of a linear elliptic partial differential equation is considered. A necessary optimality condition for this problem forms a saddle point system, the ef...
-
Article
Design optimization using hyper-reduced-order models
Solving large-scale PDE-constrained optimization problems presents computational challenges due to the large dimensional set of underlying equations that have to be handled by the optimizer. Recently, projecti...
-
Article
Development of a spot weld analysis model that incorporates strain rate
Most welding element models are simplified rather than detailed to reduce analysis time and to incorporate multiple welding elements into a structure. Nevertheless, a simple model should describe the real proc...
-
Chapter and Conference Paper
A Data-Centric Self-organization Scheme for Energy-Efficient Wireless Sensor Networks
In this paper, we propose a new self-organization scheme, DICSION (Data-centrIC Self-organizatION), which can improve the energy efficiency and prolong network lifetime of wireless sensor networks. Since a lar...
-
Chapter and Conference Paper
Autonomous and Dependable Recovery Scheme in UPnP Network Settings
Resources or devices on the network might be unavailable due to serious network partitioning. To provide a robust network connectivity, this paper presents an autonomous and dependable recovery scheme using te...
-
Chapter and Conference Paper
An Intelligent Topic-Specific Crawler Using Degree of Relevance
It is indispensable that the users surfing on the Internet could have web pages classified into a given topic as correct as possible. Toward this ends, this paper presents a topic-specific crawler computing th...
