Results 31 to 40 of about 4,218 (187)

Local appearance-based face recognition using adaptive directional wavelet transform

Journal of King Saud University: Computer and Information Sciences, 2019
The latest research has shown that adaptive directional wavelet transform can constitute edges and textures in images efficiently due to the adaptive directional selectivity.
Mohd. Abdul Muqeet, Raghunath S. Holambe
doaj   +1 more source

Some generalized method for constructing nonseparable compactly supported wavelets in L^{2}(R^{2}) [PDF]

Opuscula Mathematica, 2013
In this paper we show some construction of nonseparable compactly supported bivariate wavelets. We deal with the dilation matrix \(A = \tiny{\left[\begin{matrix}0 & 2 \cr 1 & 0 \cr \end{matrix} \right]}\) and some three-row coefficient mask; that is a ...
Wojciech Banaś
doaj   +1 more source

Combining Deep Learning and Multiresolution Analysis for Stock Market Forecasting

IEEE Access, 2021
Due to its complexity, financial time-series forecasting is regarded as one of the most challenging problems. During the past two decades, nonlinear modeling techniques, such as artificial neural networks, were commonly employed to solve a variety of ...
Khaled A. Althelaya, Salahadin A. Mohammed, El-Sayed M. El-Alfy   +2 more
doaj   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

A Quantitative Analysis of an EEG Epileptic Record Based on MultiresolutionWavelet Coefficients

Entropy, 2014
The characterization of the dynamics associated with electroencephalogram (EEG) signal combining an orthogonal discrete wavelet transform analysis with quantifiers originated from information theory is reviewed.
Mariel Rosenblatt, Alejandra Figliola, Gustavo Paccosi, Eduardo Serrano, Osvaldo A. Rosso   +4 more
doaj   +1 more source

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Mapping Fatty Acid Composition in the Human Knee: Short‐Term Repeatability at 3T

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Alterations in periarticular lipid composition are implicated in musculoskeletal diseases, yet short‐term reliability of MRI‐based triglyceride composition mapping in the knee is not fully established. Purpose To evaluate 1‐week repeatability of proton‐density fat fraction (PDFF) and triglyceride fatty‐acid composition—saturated ...
Dimitri Martel, Anne Adlung, Baptiste Busi, Rollanda Bernadin, Yagni Shah, Thorsten Kirsch, Richard Kijowski, Guillaume Madelin, Amparo Ruiz   +8 more
wiley   +1 more source

Predicting Stock Movements: Using Multiresolution Wavelet Reconstruction and Deep Learning in Neural Networks

Information, 2021
Stock movement prediction is important in the financial world because investors want to observe trends in stock prices before making investment decisions. However, given the non-linear non-stationary financial time series characteristics of stock prices,
Lifang Peng, Kefu Chen, Ning Li
doaj   +1 more source

Detecting Loosening of Bolt‐Flanged Pipe Using Smoothed Pseudo Wigner–Ville Distribution: Digital Twin‐Based Approach Using Convolution Neural Networks

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this paper, an integrated digital twin‐based fault‐diagnosis framework is proposed to detect bolt loosening in flanged pipe connections. The approach combines finite element‐based numerical modeling, experimental modal analysis, and advanced signal processing‐assisted deep learning to achieve reliable loosening detection under operational ...
Milad Shabani Yousefabad, Behzad Totakhaneh Bonab, Morteza Homayoun Sadeghi, Mir Mohammad Ettefagh, Mohammad Reza Chalak Qazani   +4 more
wiley   +1 more source

B-spline Wavelet Method for Solving Fredholm Hammerstein Integral Equation Arising from Chemical Reactor Theory

Nonlinear Engineering, 2018
Mathematical model for an adiabatic tubular chemical reactor which processes an irreversible exothermic chemical reaction has been considered. For steady state solution for an adiabatic tubular chemical reactor, the model can be reduced to ordinary ...
Sahu P. K., Ranjan A. K., Saha Ray S.
doaj   +1 more source