Modern machine‐learning applications in ambient ionization mass spectrometry
This article provides a comprehensive overview of the applications of methods of machine
learning (ML) and artificial intelligence (AI) in ambient ionization mass spectrometry (AIMS) …
learning (ML) and artificial intelligence (AI) in ambient ionization mass spectrometry (AIMS) …
[PDF][PDF] An enhanced satellite image compression using hybrid (DWT, DCT and SVD) algorithm
M Anasuodei, OF Eleonu - American Journal of Computer Science …, 2021 - researchgate.net
Storing images consumes a lot of storage space due to the large number of bits used to
represent them. These bits are comprised of pixels that make up the image. These heavy …
represent them. These bits are comprised of pixels that make up the image. These heavy …
Application of Singular Value Decomposition technique for compressing images
KJ Audu - Gadau Journal of Pure and Allied Sciences, 2022 - gadaufos.com
Image processing is becoming increasingly important as imaging technology has advanced.
A storage constraint might occur even when image quality is an influential factor. This means …
A storage constraint might occur even when image quality is an influential factor. This means …
[HTML][HTML] Investigating difficulties and enhancing understanding in linear algebra: Leveraging SageMath and ChatGPT for (orthogonal) diagonalization and singular …
N Karjanto - Mathematical Biosciences and Engineering, 2023 - aimspress.com
We explored some common challenges faced by undergraduate students when studying
linear algebra, particularly when dealing with algorithmic thinking skills required for topics …
linear algebra, particularly when dealing with algorithmic thinking skills required for topics …
Dwt, dct and svd based hexagonal image compression
P Varghese, GAS Saroja - 2021 Fourth International …, 2021 - ieeexplore.ieee.org
Inspired by the human visual sys-tem (HVS), hexagonal grid computation bears numerous
advantages like equidistance, good angular resolution, isoperimetry and fixed neighbours …
advantages like equidistance, good angular resolution, isoperimetry and fixed neighbours …
Resolution estimates for selected coordinate descent: Identification of seismic structure in the area of geothermal plants
TA Smaglichenko, A Smaglichenko - … 5–9, 2021, Proceedings, Part I, 2021 - Springer
The coordinate descent method is a traditional inverse solver to optimization problems. In
modern sectors of production research: in computer graphics, computer tomography, a …
modern sectors of production research: in computer graphics, computer tomography, a …
[PDF][PDF] SVD 壓縮照片技術結合超解析度插值方法的探討
林春峰 - Journal of Science and Engineering Technology, 2022 - journal.dyu.edu.tw
摘要壓縮照片技術可以幫助照片輕量化, 超解析度方法則能夠提昇照片的解析度大小,
本方法希望將這二者的領域結合起來, 也就是說既想要壓縮照片的內容, 也想要同時放大照片的 …
本方法希望將這二者的領域結合起來, 也就是說既想要壓縮照片的內容, 也想要同時放大照片的 …
Matrix Factorization in Latent Semantic Indexing
Matrix factorizations are methods used to factorize a matrix into a product of two or more
matrices. Matrix factorizations are used to reduce the dimension of a data set that help in …
matrices. Matrix factorizations are used to reduce the dimension of a data set that help in …
[PDF][PDF] A MODIFIED METHOD FOR SELECTING SINGULAR VALUES IN IMAGE COMPRESSION USING SINGULAR VALUE DECOMPOSITION
SK AHMED - Journal of Engineering Science and Technology, 2022 - jestec.taylors.edu.my
Most image compression techniques based on singular value decomposition (SVD) divide
the image into blocks; some of these blocks contain the edges of an image, which represent …
the image into blocks; some of these blocks contain the edges of an image, which represent …