Zobrazeno 1 - 10
of 450
pro vyhledávání: '"Mohd. Salmi Md. Noorani"'
Publikováno v:
AIMS Mathematics, Vol 8, Iss 3, Pp 6682-6696 (2023)
In this work, we initiate the notion of a fuzzy cyclic (α,β)-admissibility to establish some fixed point results for contraction mappings involving a generalized simulation function in the class of fuzzy b-metric spaces. We give some illustrative e
Externí odkaz:
https://doaj.org/article/3d9ddb28ef7244239a6ea3cb91e118b5
Publikováno v:
Advances in Difference Equations, Vol 2021, Iss 1, Pp 1-15 (2021)
Abstract The objective of this article is to introduce function weighted L-R-complete dislocated quasi-metric spaces and to present fixed point results fulfilling generalized rational type F-contraction for a multivalued mapping in these spaces. A su
Externí odkaz:
https://doaj.org/article/03adc5d0c7964abfa8cc9e99a743f804
Using persistent homology as preprocessing of early warning signals for critical transition in flood
Autor:
Syed Mohamad Sadiq Syed Musa, Mohd Salmi Md Noorani, Fatimah Abdul Razak, Munira Ismail, Mohd Almie Alias, Saiful Izzuan Hussain
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Flood early warning systems (FLEWSs) contribute remarkably to reducing economic and life losses during a flood. The theory of critical slowing down (CSD) has been successfully used as a generic indicator of early warning signals in various f
Externí odkaz:
https://doaj.org/article/53335c58414f47e98b060c16ce1eb30f
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 8 (2022)
In this study, a new market representation from persistence homology, known as the L1-norm time series, is used and applied independently with three critical slowing down indicators [autocorrelation function at lag 1, variance, and mean for power spe
Externí odkaz:
https://doaj.org/article/73d9ad56302f4d7095dd9bd51d0bdc46
Publikováno v:
IEEE Access, Vol 8, Pp 202042-202057 (2020)
This study explores persistent homology to detect early warning signals of the 2017 and 2019 major financial crashes in Bitcoin. Sliding window is used to obtain point cloud datasets from a multidimensional time series (Bitcoin, Ethereum, Litecoin an
Externí odkaz:
https://doaj.org/article/4bd80e2503414327afe7b31b439cca76
Publikováno v:
Advances in Difference Equations, Vol 2019, Iss 1, Pp 1-12 (2019)
Abstract The goal of this study is to offer an exclusive functional conversion to produce (n+1) $(n+1)$-dimensional dual-mode nonlinear equations. This transformation has been implemented and new (3+1) $(3+1)$-dimensional dual-mode Gradner-type and K
Externí odkaz:
https://doaj.org/article/d6e5c8ba75714761a8d8dd8154a86f2c
Publikováno v:
Journal of Function Spaces, Vol 2021 (2021)
Partial b-metric spaces are characterised by a modified triangular inequality and that the self-distance of any point of space may not be zero and the symmetry is preserved. The spaces with a symmetric property have interesting topological properties
Externí odkaz:
https://doaj.org/article/4bf68b01e68e49c888cc58f8d073711b
Publikováno v:
Journal of Function Spaces, Vol 2021 (2021)
A reaction-diffusion system can be represented by the Gray-Scott model. In this study, we discuss a one-dimensional time-fractional Gray-Scott model with Liouville-Caputo, Caputo-Fabrizio-Caputo, and Atangana-Baleanu-Caputo fractional derivatives. We
Externí odkaz:
https://doaj.org/article/15c2e4c973894e74b7455ad61cbca74a
Publikováno v:
AIMS Mathematics. 8:6682-6696
In this work, we initiate the notion of a fuzzy cyclic $ (\alpha, \beta) $-admissibility to establish some fixed point results for contraction mappings involving a generalized simulation function in the class of fuzzy $ b $-metric spaces. We give som
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2020 (2020)
In this study, we construct a convergent algorithm for generating an approximate analytic solution for the fractional HIV infection of CD4+ T cells with Atangana–Baleanu fractional derivatives in the Caputo sense. We compute the solution by utilizi
Externí odkaz:
https://doaj.org/article/a7ff699d439f4dd08eb75b262d5ce09e