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A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting.

Keywords： Short-term water demand forecasting Long-short term memory neural network Convolutional Neural Network Waveletmulti-resolution analysis Data-driven models

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Multi-resolution texture synthesis from turntable image sequences

Xuedong WANG, Xiaojun WU, Xiaorong ZHANG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1, Pages 72-80 doi: 10.1007/s11465-012-0305-8

Abstract: In this paper, we propose a fast method to construct high quality texture map for multi-resolution texture

Keywords： texture synthesis multi-resolution texture map texture mapping

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Ablock-based secure and robustwatermarking scheme for color images based onmulti-resolution decomposition Research Articles

Muhammad IMRAN, Bruce A. HARVEY, Muhammad ATIF, Adnan Ali MEMON

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7, Pages 946-963 doi: 10.1631/FITEE.1700667

Abstract: This paper presents a block-based secure and robust watermarking technique for color images based on multi-resolutionimperceptibility, the three color channels (red, green, and blue) are de-correlated using principal component analysisAfterwards, to achieve robustness, the de-correlated channel is decomposed using a discrete wavelet transform

Keywords： Copyright protection Data hiding Multi-resolution decomposition De-correlation Security

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Detection for transverse corner cracks of steel plates’ surface using wavelet

Qiong ZHOU, Qi AN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2, Pages 224-227 doi: 10.1007/s11465-009-0017-x

Abstract: An algorithm is presented for detecting transverse corner cracks at a steel plate surface using waveletAccording to characteristics of transverse corner crack images, the wavelet transform is used for themulti-scale analysis of detecting the image edges and disintegrating the image into four directions

Keywords： transverse corner cracks defect detection multi-scales wavelet analysis

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Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-orientedmulti-variable model

Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3, Pages 238-248 doi: 10.1631/FITEE.1400083

Abstract: The Chinese ZY-1 02C satellite is one of the most advanced high-resolution earth observation systemsIn view of the limited spectral resolution of the ZY-1 02C satellite (three bands), and the complexityand geometry indexes were first calculated and selected using forward stepwise linear discriminant analysis

Keywords： ZY-1 02C satellite Classification Urban Multi-variable model

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.: evidence from wavelet analysis

Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM

Frontiers in Energy 2014, Volume 8, Issue 1, Pages 1-8 doi: 10.1007/s11708-013-0290-6

Abstract: complements the existing studies on the nexus between energy consumption and economic growth by employing the waveletTheir approach consists of first decomposing the series into time scales by wavelet filters and testing

Keywords： energy consumption economic growth wavelet analysis granger causality

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Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-FactorAnalysis and a Multi-Model Ensemble Article

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Engineering 2021, Volume 7, Issue 12, Pages 1751-1765 doi: 10.1016/j.eng.2020.10.023

Abstract: In this paper, a new DO hybrid forecasting model is proposed that includes three stages: multi-factoranalysis, adaptive decomposition, and an optimization-based ensemble.salinity, and oxygen saturation are decomposed adaptively into sub-series by means of the empirical waveletFinally, a multi-factor ensemble model for DO is obtained by weighted allocation.Example analysis demonstrates that: ① the proposed model can obtain excellent DO forecasting results;

Keywords： Dissolved oxygen concentrations forecasting Time-series multi-step forecasting Multi-factor analysis Empirical wavelet transform decomposition Multi-model optimization ensemble

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The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Strategic Study of Chinese Academy of Engineering 2003, Volume 5, Issue 4, Pages 61-64

Abstract: Wavelet transform has the capacity for detecting local signal mutation and detects information usingThis paper analyzes the basic theory using two dimensions wavelet to detect image edges on the basisof wavelet transform and then designs the detecting algorithm of the multi-scale edge matching.

Keywords： wavelet transform multi-scale edges detection

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Bridging finite element and deep learning: High-resolution stress distribution prediction in structural

Frontiers of Structural and Civil Engineering Pages 1365-1377 doi: 10.1007/s11709-022-0882-5

Abstract: Finite-element analysis (FEA) for structures has been broadly used to conduct stress analysis of variousDeep Learning (DL) techniques can generate results significantly faster than conventional run-time analysisneural networks in the form of convolutional neural networks (CNN) to bypass the FEA and predict high-resolutionThis study shows the feasibility and potential of using DL techniques to bypass FEA for stress analysis

Keywords： Deep Learning finite element analysis stress contours structural components

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A Method for License Plate Localization based on Texture and Wavelet Analysis

Huang Wei,Lu Xiaobo,Yu Yanxiang,Ling Xiaojing

Strategic Study of Chinese Academy of Engineering 2004, Volume 6, Issue 3, Pages 19-24

Abstract:

This paper presents a method for vehicle license plate localization using texture and wavelet analysisto the distribution regularities of the characters in the license plate, a binary texture primitive analysisA feature of the vertical strokes in the license plate is extracted using wavelet analysis.

Keywords： texture wavelet analysis primitive license plate localization

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Prediction of characteristic blast-induced vibration frequency during underground excavation by using wavelet

Frontiers of Structural and Civil Engineering Pages 1029-1039 doi: 10.1007/s11709-022-0861-x

Abstract: Then, wavelet analysis on the measured results was carried out to identify frequency bands reflectingFrom analysis of results, it can be found that peak velocity and energy of blasting vibration in frequency

Keywords： wavelet analysis blast-induced vibration frequency characteristics underground excavation

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Analysis on the Machined Surface Profile Error Using Fractals and Wavelet

Liao Xiaoyun,Tang Qian,Zhao Ying,Zheng Shize

Strategic Study of Chinese Academy of Engineering 2002, Volume 4, Issue 5, Pages 75-78

Abstract:

An analysis method based on fractals and wavelet for machined surface profile error was presented.details, and reconstruct the surface profile for doing some related work, such as performance-tolerance analysisThe fractal dimension algorithms, the analysis and reconstruction algorithms of surface profile based

Keywords： machining machined error analysis fractal geometry wavelet analysis

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Combustion instability detection using the wavelet detail of pressure fluctuations

JI Junjie, LUO Yonghao

Frontiers in Energy 2008, Volume 2, Issue 1, Pages 116-120 doi: 10.1007/s11708-008-0019-0

Abstract: A combustion instability detection method that uses the wavelet detail of combustion pressure fluctuationsDaubechies one-order wavelet is chosen to obtain the wavelet details for comparison.It shows that the wavelet approximation indicates the general pressure change in the furnace, and thewavelet detail magnitude is consistent with the intensity of turbulence and combustion noise.The magnitude of the wavelet detail is nearly constant when the combustion is stable, however, it will

Keywords： comparison wavelet approximation pressure transducer general pressure consistent

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High resolution satellite imaging sensors for precision agriculture

Chenghai YANG

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4, Pages 393-405 doi: 10.15302/J-FASE-2018226

Abstract: Recent developments in high resolution satellite sensors have significantly narrowed the gap in spatialresolution between satellite imagery and airborne imagery.Since the first high resolution satellite sensor IKONOS was launched in 1999, numerous commercial highresolution satellite sensors have become available.This article will provide an overview of commercially available high resolution satellite sensors that

Keywords： high resolution satellite sensor multispectral imagery precision agriculture spatial resolution temporalresolution

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Wavelet Analysis of a Sort of Multidimension Stochastic System

Xia Xuewen

Strategic Study of Chinese Academy of Engineering 2004, Volume 6, Issue 11, Pages 43-46

Abstract: " src="/views/uploadfiles/png/b9e410ef3fe14041a300eca2d8253b69.png" width="374" />is studied, using waveletanalysis and its average power, density degree and wavelet expansion and corelation of expansion coefficient

Keywords： stochastic system density degree wavelet expansion average power corelation

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Title Author Date Type Operation

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Journal Article

Multi-resolution texture synthesis from turntable image sequences

Xuedong WANG, Xiaojun WU, Xiaorong ZHANG

Journal Article

Ablock-based secure and robustwatermarking scheme for color images based onmulti-resolution decomposition

Muhammad IMRAN, Bruce A. HARVEY, Muhammad ATIF, Adnan Ali MEMON

Journal Article

Detection for transverse corner cracks of steel plates’ surface using wavelet

Qiong ZHOU, Qi AN

Journal Article

Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-orientedmulti-variable model

Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG

Journal Article

.: evidence from wavelet analysis

Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM

Journal Article

Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-FactorAnalysis and a Multi-Model Ensemble

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Journal Article

The Application of Two Dimensions Wavelet in Image Edges Detection

Zhang Hongyan,Zhang Dengpan

Journal Article

Bridging finite element and deep learning: High-resolution stress distribution prediction in structural

Journal Article

A Method for License Plate Localization based on Texture and Wavelet Analysis

Huang Wei,Lu Xiaobo,Yu Yanxiang,Ling Xiaojing

Journal Article

Prediction of characteristic blast-induced vibration frequency during underground excavation by using wavelet

Journal Article