Results 61 to 70 of about 19,999 (201)

Enhanced Crack Detection in Composite Plates: Integrating Haar Wavelet Transform with Convolutional Neural Networks [PDF]

E3S Web of Conferences
In order to ensure structural integrity, detecting cracks, as a common structural flaw, is crucial. The current study presents a method for crack detection and prediction in plates under free vibration using the Convolutional Neural Network (CNN) and the
Mehrparvar Marmar, Majak Jüri, Karjust Kristo   +2 more
doaj   +1 more source

A Novel Lightweight and High‐Performance Detection Framework for Signal Detection in Wideband Spectrogram

Electronics Letters, Volume 62, Issue 1, January/December 2026.
With the proliferation of Internet of Things (IoT) devices, broadband signal detection in low‐signal‐to‐noise ratio (SNR) non‐cooperative environments presents significant challenges. This letter proposes two lightweight modules integrated into the YOLOv8 framework, which effectively reduces computational complexity while improving detection accuracy ...
Deming Hu, Shudong Yuan, Yongjie Zhao, Honghe Huang, Longqing Li   +4 more
wiley   +1 more source

Haar Wavelet Based Implementation Method of the Non–integer Order Differentiation and its Application to Signal Enhancement

Measurement Science Review, 2015
Non–integer order differentiation is changing application of traditional differentiation because it can achieve a continuous interpolation of the integer order differentiation. However, implementation of the non–integer order differentiation is much more
Li Yuanlu, Pan Chang, Meng Xiao, Ding Yaqing, Chen Haixiu   +4 more
doaj   +1 more source

Haar Wavelet Method For Solving Fitz Hugh-Nagumo Equation

, 2010
In this paper, we develop an accurate and efficient Haar wavelet method for well-known FitzHugh-Nagumo equation. The proposed scheme can be used to a wide class of nonlinear reaction-diffusion equations. The power of this manageable method is confirmed. Moreover the use of Haar wavelets is found to be accurate, simple, fast, flexible, convenient, small
G.Hariharan, K.Kannan
openaire   +1 more source

A Robust Reversible Watermarking Algorithm Resistant to Geometric Attacks Based on Tchebichef Moments

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper presents a robust reversible watermarking algorithm based on Chebyshev moments, employing a two‐stage embedding mechanism. The proposed method leverages image block partitioning to embed the copyright watermark and the reversible watermark into non‐overlapping regions located inside and outside the inscribed circle of the image, respectively.
Wenjing Sun, Ling Zhang, Hongjun Zhang
wiley   +1 more source

Multi‐Channel Fusion Residual Network for Robust Bone Fracture Classification From Radiographs

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This research introduces a multi‐channel fusion residual network (MFResNet18) to enhance bone fracture classification from radiographs. By integrating a multi‐modal channel filter with multi‐path early feature extraction, the model enriches fracture‐specific details before deep inference. Experimental results demonstrate a classification accuracy of 99.
Sivapriya T, K. R. Sri Preethaa, Yuvaraj Natarajan, M. Shyamala Devi   +3 more
wiley   +1 more source

A reliable algorithm to compute the approximate solution of KdV-type partial differential equations of order seven.

PLoS ONE, 2021
The approximate solution of KdV-type partial differential equations of order seven is presented. The algorithm based on one-dimensional Haar wavelet collocation method is adapted for this purpose.
Sidra Saleem, Malik Zawwar Hussain, Imran Aziz   +2 more
doaj   +1 more source

Haar Wavelets-Based Methods for Credit Risk Portfolio Modeling

, 2023
In this dissertation we have investigated the credit risk measurement of a credit portfolio by means of the wavelets theory. Banks became subject to regulatory capital requirements under Basel Accords and also to the supervisory review process of capital adequacy, this is the economic capital.
openaire   +4 more sources

AGFP: A Deep Attention‐Guided Framework for DWT‐Based Image Steganography

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper introduces Attention‐Guided Feature Perturbation (AGFP), a novel framework that combines deep learning‐based attention mechanisms with Discrete Wavelet Transform (DWT) embedding for image steganography. By selectively embedding data in perceptually and statistically safe regions, AGFP achieves high imperceptibility, robustness against ...
Taner Cevik, Nazife Cevik, Ali Pasaoglu, Fatih Sahin, Farzad Kiani, Muhammet Sait Ag   +5 more
wiley   +1 more source

The Application of Discrete Wavelet Transform with Improved Partial Least-Squares Method for the Estimation of Soil Properties with Visible and Near-Infrared Spectral Data

Remote Sensing, 2018
This study evaluated whether wavelet functions (Bior1.3, Bior2.4, Db4, Db8, Haar, Sym4, and Sym8) and decomposition levels (Levels 3–8) can estimate soil properties. The analysis is based on the discrete wavelet transform with partial least-squares
Guoqiang Wang, Wei Wang, Qingqing Fang, Hong Jiang, Qinchuan Xin, Baolin Xue   +5 more
doaj   +1 more source