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A study of fractional Lotka‐Volterra population model using Haar wavelet and Adams‐Bashforth‐Moulton methods

Mathematical Methods in the Applied Sciences, 2020
The Lotka‐Volterra (LV) system is an interesting mathematical model because of its significant and wide applications in biological sciences and ecology. A fractional LV model in the Caputo sense is investigated in this paper.
, Ranbir Kumar, Ravi P Agarwal
exaly   +2 more sources

Hyperspectral Image Classification Using CNN-Enhanced Multi-Level Haar Wavelet Features Fusion Network

IEEE Geoscience and Remote Sensing Letters, 2022
Convolutional neural networks (CNNs) are widely utilized in hyperspectral image (HSI) classification due to their powerful capability to automatically learn features.
Wenhui Guo   +3 more
semanticscholar   +1 more source

Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets

IEEE Transactions on Neural Networks and Learning Systems, 2022
In this article, we develop a general theoretical framework for constructing Haar-type tight framelets on any compact set with a hierarchical partition.
Jianfei Li, Han Feng, Xiaosheng Zhuang
semanticscholar   +1 more source

Application of Haar wavelet method for free vibration of laminated composite conical–cylindrical coupled shells with elastic boundary condition

Physica Scripta, 2021
In this paper, the Haar wavelet discretization method (HWDM) is proposed for the calculation of natural frequency of the laminated composite conical-cylindrical coupled shells.
Kwanghun Kim   +5 more
semanticscholar   +1 more source

Haar Cascade and Convolutional Neural Network Face Detection in Client-Side for Cloud Computing Face Recognition

2021 International Conference on Electrical and Information Technology (IEIT), 2021
Faces are often used as authentication in security systems, such as facial recognition in running programs or facial recognition for room entry. One important reason is that the human face consists of structures and characteristics that differ from one ...
Rosa Andrie Asmara   +2 more
semanticscholar   +1 more source

A New Hybrid Method for Signal Estimation Based on Haar Transform and Prony Analysis

IEEE Transactions on Instrumentation and Measurement, 2021
The signal estimation is very important in electrical and electronic engineering. In this study, it is shown that signal parameters’ (frequency, amplitude, and phase) estimation can be realized with the implementation of Prony method on Haar transform ...
Nedim Aktan Yalçın, F. Vatansever
semanticscholar   +1 more source

Image compression using HAAR discrete wavelet transform

IEEE International Conference on Distributed Computing Systems, 2020
Image Compression aims at minimal the Storage and for the easy transmission Without affecting pictures quality. In this paper HAAR wavelet based Discrete Wavelet Transform (DWT) is done for the effective and efficient image compression..HAAR DWT provides
Hemalatha Kanagaraj, V. Muneeswaran
semanticscholar   +1 more source

Fourier-Haar coefficients

Mathematical Notes of the Academy of Sciences of the USSR, 1984
A Banach lattice E is called p-concave, \(1\leq ...
Novikov, I. Ya., Semenov, E. M.
openaire   +2 more sources

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