Search Results for author:
Found 7 papers, 1 papers with code
Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset
To further improve the classification accuracy, an ensemble of multiple CNN models and HU windows is used.
A Fast Partial Video Copy Detection Using KNN and Global Feature Database
We propose a fast partial video copy detection framework in this paper.
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate
In this paper, a deep collocation method (DCM) for thin plate bending problems is proposed.
Deep Autoencoder based Energy Method for the Bending, Vibration, and Buckling Analysis of Kirchhoff Plates
In this paper, we present a deep autoencoder based energy method (DAEM) for the bending, vibration and buckling analysis of Kirchhoff plates.
Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning
In this work, a modified neural architecture search method (NAS) based physics-informed deep learning model is presented for stochastic analysis in heterogeneous porous material.
Analysis of three dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis
This approach utilizes a physics informed neural network with material transfer learning reducing the solution of the nonhomogeneous partial differential equations to an optimization problem.
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
In this contribution, we explore Deep Neural Networks (DNNs) as an option for approximation.
