Results 31 to 40 of about 160,937 (210)

Simulation of a non‐linear, time‐variant circuit using the Haar wavelet transform

IET Science, Measurement & Technology, 2022
Wavelet theory has disentangled numerous complexities, including those pertinent to transient and steady‐state responses of systems, when Laplace and Fourier transforms face insoluble obstacles. Reactive linear components (e.g.
Georgios G. Roumeliotis, Jan Desmet, Jos Knockaert   +2 more
doaj   +1 more source

Haar Wavelet Collocation Method for Thermal Analysis of Porous Fin with Temperature-dependent Thermal Conductivity and Internal Heat Generation [PDF]

Journal of Applied and Computational Mechanics, 2017
In this study, the thermal performance analysis of porous fin with temperature-dependent thermal conductivity and internal heat generation is carried out using Haar wavelet collocation method.
George OGUNTALA, Raed Abd-Alhameed
doaj   +1 more source

Comparison of KNN and SVM Algorithms in Facial Image Recognition Using Haar Wavelet Feature Extraction

Jurnal Riset Informatika, 2023
To process all the pixels in the face image, feature extraction can be performed using the Haar Wavelet method so that it processes identifiers with lower dimensions.
Neneng Rachmalia Feta
doaj   +1 more source

Higher Order Haar Wavelet Method for Solving Differential Equations

Wavelet Theory, 2020
The study is focused on the development, adaption and evaluation of the higher order Haar wavelet method (HOHWM) for solving differential equations. Accuracy and computational complexity are two measurable key characteristics of any numerical method. The
J. Majak, M. Ratas, K. Karjust, B. Shvartsman   +3 more
semanticscholar   +1 more source

Semi-Supervised Dim and Small Infrared Ship Detection Network Based on Haar Wavelet

IEEE Access, 2021
Traditional deep learning detection network has poor effect on the detection of infrared dim and small targets on the sea in the case of interference or bad weather.
Zizhuang Song, Jiawei Yang, Dongfang Zhang, Shiqiang Wang, Zheng Li   +4 more
doaj   +1 more source

Discrete differential operators in multidimensional Haar wavelet spaces

International Journal of Mathematics and Mathematical Sciences, 2004
We consider a class of discrete differential operators acting on multidimensional Haar wavelet basis with the aim of finding wavelet approximate solutions of partial differential problems.
Carlo Cattani, Luis M. Sánchez Ruiz
doaj   +1 more source

The Haar Wavelet Approximation for the Two-Dimensional Time-Fractional Neuronal Dynamics Model

Fractal and Fractional
In this paper, we developed and constructed the Haar wavelet (HW) for the two-dimensional (2D) time-fractional neuronal dynamics model (TFNDM) with the dynamical electro-diffusion behaviour of ions in nerve cells. The Haar wavelet method is considered in
Tao Liu, Xuehua Yang
doaj   +1 more source

New Numerical Treatment for a Family of Two-Dimensional Fractional Fredholm Integro-Differential Equations

Algorithms, 2020
In this paper, we present a robust algorithm to solve numerically a family of two-dimensional fractional integro differential equations. The Haar wavelet method is upgraded to include in its construction the Laplace transform step.
Amer Darweesh, Marwan Alquran, Khawla Aghzawi   +2 more
doaj   +1 more source

A non-uniform Haar wavelet method for numerically solving two-dimensional convection-dominated equations and two-dimensional near singular elliptic equations

Computers and Mathematics with Applications, 2019
A non-uniform Haar wavelet based collocation method has been developed in this paper for two-dimensional convection dominated equations and two-dimensional near singular elliptic partial differential equations, in which traditional Haar wavelet method ...
Ö. Oruç
semanticscholar   +1 more source

Predicting and Preventing Turnover in Industry 4.0: Understanding the Impact of Artificial Intelligence Adoption on Employee Turnover

Human Resource Development Quarterly, EarlyView.
ABSTRACT With the increasing adoption of Artificial Intelligence (AI) in the workplace, employees' career paths have become more diverse and less predictable in the era of Industry 4.0. As technological transformations accelerate, employee turnover patterns are also changing, as reflected in the growing prevalence of occupational transitions and large ...
Young‐Kook Moon, Tanya Mitropoulos
wiley   +1 more source