Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Sayan Kaennakham"'
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Akademický článek
Numerical Solution to Coupled Burgers’ Equations by Gaussian-Based Hermite Collocation Scheme
Autor: Nissaya Chuathong, Sayan Kaennakham
Publikováno v: Journal of Applied Mathematics, Vol 2018 (2018)
One of the most challenging PDE forms in fluid dynamics namely Burgers equations is solved numerically in this work. Its transient, nonlinear, and coupling structure are carefully treated. The Hermite type of collocation mesh-free method is applied t
Externí odkaz: https://doaj.org/article/0976a241aee7426f81970501a273cb93
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3
Numerical Investigation on Three Local-Adaptive k-Point Multiquadric Neural Networks
Autor: Pichapop Paewpolsong, Krittidej Chanthawara, Narongdech Dungkratoke, Sayan Kaennakham
Publikováno v: Machine Learning and Artificial Intelligence ISBN: 9781643683560
Under the architecture of a neural network, this work proposes and applies three multiquadric radial basis function (MQ-RBF) interpolation schemes; The Common Local Radial Basis Function Scheme (CLRBF), The Iterative Local Radial Basis Function Schem
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9ec2c9180397fd11c47320d62803d4e9
https://doi.org/10.3233/faia220428
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4
On the Wavelet Convolution Neural Network for Breast Cancer Image Analysis
Autor: Kittikorn Sriwichai, Ratapong Onjun, Chantana Simtrakankul, Sayan Kaennakham
Publikováno v: Machine Learning and Artificial Intelligence ISBN: 9781643683560
The purpose of this paper is to propose and study the structure of wavelet transformation (WT) and convolution neural networks (CNN). To get more insights into its effectiveness, three WCNN architectures are designed and tested against one another se
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8db749f0dfdc3c4f37a95ebf3c92f5b
https://doi.org/10.3233/faia220431
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5
Wavelet Pooling Scheme in the Convolution Neural Network (CNN) for Breast Cancer Detection
Autor: Ratapong Onjun, Kittikorn Sriwichai, Narongdech Dungkratoke, Sayan Kaennakham
Publikováno v: Machine Learning and Artificial Intelligence ISBN: 9781643683560
In this work, the wavelet transformation (WT) under the context of convolution neural network (CNN) is developed and applied for breast cancer detection. The main objective is to investigate the effectiveness of the WCNN pooling architecture when com
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::730ce6077abb4c2c70be422791f26415
https://doi.org/10.3233/faia220426
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6
Generalized Multiquadric Neural Networks in Image Reconstruction
Autor: Pornthip Pongchalee, Pirapong Inthapong, Krittidej Chanthawara, Pichapop Paewpolsong, Sayan Kaennakham
Publikováno v: Machine Learning and Artificial Intelligence ISBN: 9781643683560
This work aims to numerically investigate the performance of the multiquadric (MQ) radial basis function in more general formats for image reconstruction applications. Desired features, i.e., accuracy and shape parameter sensitivity, of each form is
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::322a6ff45742d831f319b6906ca8bb64
https://doi.org/10.3233/faia220427
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7
A Hybrid Shapeless Radial Basis Function Applied With the Dual Reciprocity Boundary Element Method
Autor: Krittidej Chanthawara, Sayan Kaennakham
Publikováno v: WSEAS TRANSACTIONS ON MATHEMATICS. 20:159-170
The so-called Dual Reciprocity Boundary Element Method (DRBEM) has been a popular alternative scheme designed to alleviate problems encountered when using the traditional BEM for numerically solving engineering problems that are described by PDEs. Th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a8cca5a902d98c3d89efd145a2f89074
https://doi.org/10.37394/23206.2021.20.17
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8
A Modified Local Distance-weighted (MLD) Method of Interpolation and Its Numerical Performances for Large Scattered Datasets
Autor: Sayan Kaennakham, Dusita Ritthison, Sunisa Tavaen
Publikováno v: Current Applied Science and Technology. 22
The purpose of this study was to propose a new interpolation scheme that was designed to remedy the shortcomings encountered in two popular interpolation methods; the triangle-based blending (TBB) method and the inverse distance weighted (IDW) method
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::94798e4ae3e0ffc46eea0c4ce7df31fe
https://doi.org/10.55003/cast.2022.06.22.006
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10
Generalized-Multiquadric Radial Basis Function Neural Networks (RBFNs) with Variable Shape Parameters for Function Recovery
Autor: Sayan Kaennakham, Natdanai Sriapai, Sunisa Tavaen, Pichapop Paewpolsong
After being introduced to approximate two-dimensional geographical surfaces in 1971, the multivariate radial basis functions (RBFs) have been receiving a great amount of attention from scientists and engineers. In 1987 the idea was extended into the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4440702d2c2919bbab982b416cdb570
https://doi.org/10.3233/faia210178
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