Forward and inverse structural uncertainty propagations under stochastic variables with arbitrary probability distributions
Sign Up to like & getrecommendations! Published in 2018 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2018.07.035
Abstract: Abstract In this study, a general frame of the forward and inverse structural uncertainty propagations (UPs) based on the dimension reduction (DR) method and the derivative lambda probability density function ( λ -PDF) is proposed… read more here.
Keywords: probability; forward inverse; inverse structural; structural uncertainty ... See more keywords
Neural Network Model for Identifying Workspace, Forward and Inverse Kinematics of the 7-DOF YuMi 14000 ABB Collaborative Robot
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.10.019
Abstract: Abstract This research investigates development of a visual and analytical tool for the study of the seven degree of freedom (7-DOF) ABB 14000 YuMi robot. It provides an understanding of the manipulator workspace regions where… read more here.
Keywords: inverse kinematics; forward inverse; workspace; kinematics ... See more keywords
The forward and inverse problems for a fractional boundary value problem
Sign Up to like & getrecommendations! Published in 2018 at "Applicable Analysis"
DOI: 10.1080/00036811.2017.1376248
Abstract: ABSTRACT In this paper, the authors study the forward and inverse problems for a fractional boundary value problem with Dirichlet boundary conditions. The existence and uniqueness of solutions for the forward problem is first proved.… read more here.
Keywords: forward inverse; boundary value; inverse problems; problems fractional ... See more keywords
Machine Learning Assisted Hybrid Electromagnetic Modeling Framework and Its Applications to UWB MIMO Antennas
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3248961
Abstract: Machine learning (ML) has gained recognition as an efficient and robust technique to realize the solution of electromagnetic forward and inverse problems. This article introduces a hybrid ML framework that simultaneously acts as a forward… read more here.
Keywords: forward inverse; machine learning; framework; mimo antennas ... See more keywords
Electromagnetic Forward and Inverse Algorithms for 3-D Through-Casing Induction Mapping of Arbitrary Fractures
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2818112
Abstract: This letter extends the axisymmetric version of the efficient forward and inverse algorithms to characterize and reconstruct arbitrary 3-D fractures in a cased borehole environment. We improve our previous hybrid distorted Born approximation and stabilized… read more here.
Keywords: inverse algorithms; forward inverse; electromagnetic forward; casing induction ... See more keywords
New Low-Area Designs for the AES Forward, Inverse and Combined S-Boxes
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2019.2922601
Abstract: The implementation of AES S-boxes is one of the most extensively studied areas of cryptography. In this paper, we propose three new hardware designs for the AES S-box that can serve in the forward, inverse… read more here.
Keywords: area; new low; designs aes; inverse combined ... See more keywords
A Physics-Guided Reversible Residual Neural Network Model: Applied to Build Forward and Inverse Models for Turntable Servo System
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3200668
Abstract: To satisfy the application requirements of the forward/inverse model for various control algorithms used in servo systems, a physics-guided reversible residual neural network (PGRRNN) model is proposed, which is applied to build forward/inverse model for… read more here.
Keywords: forward inverse; network; physics; reversible residual ... See more keywords
FEA-AI and AI-AI: Two-Way Deepnets for Real-Time Computations for Both Forward and Inverse Mechanics Problems
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computational Methods"
DOI: 10.1142/s0219876219500452
Abstract: Recent breakthroughs in deep-learning algorithms enable dreams of artificial intelligence (AI) getting close to reality. AI-based technologies are now being developed rapidly, including service and industrial robots, autonomous and self-driving vehicles. This work proposes Two-Way… read more here.
Keywords: mechanics problems; physics; real time; forward inverse ... See more keywords
Modeling a Typical Non-Uniform Deformation of Materials Using Physics-Informed Deep Learning: Applications to Forward and Inverse Problems
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13074539
Abstract: Numerical methods, such as finite element or finite difference, have been widely used in the past decades for modeling solid mechanics problems by solving partial differential equations (PDEs). Differently from the traditional computational paradigm employed… read more here.
Keywords: forward inverse; physics; uniform deformation; non uniform ... See more keywords