Study on the Identification of Radix Bupleuri from Its Unofficial Varieties Based on Discrete Wavelet Transformation Feature Extraction of ATR-FTIR Spectroscopy Combined with Probability Neural Network by Wenying Jin, Chayan Wan, Cungui Cheng

“…The infrared spectra and spectra of Fourier self-deconvolution (FSD), discrete wavelet transform (DWT), and probability neural network (PNN) of these species were analyzed. …”
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Intermittent series direct current arc fault detection in direct current more‐electric engine power systems based on wavelet energy spectra and artificial neural network by J. Thomas, R. Telford, P. J. Norman, G. M. Burt

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A Hybrid Model for Short-Term Traffic Flow Prediction Based on Variational Mode Decomposition, Wavelet Threshold Denoising, and Long Short-Term Memory Neural Network by Yang Yu, Qiang Shang, Tian Xie

“…Then, each component is denoised by wavelet threshold to obtain the denoised subsequence. …”
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A combined wavelet analysis-quantile mapping (WA-QM) method for bias correction: capturing the intra-annual temporal patterns in climate model precipitation simulations and projections by Xia Wu, Zhu Liu, Qingyun Duan

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Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking by Rafi Ullah, Sultan Daud Khan, Mohib Ullah, Fadi Al-Machot, Habib Ullah

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WPD-based blind image steganalysis by LUO Xiang-yang1, LIU Fen-lin1, WANG Dao-shun2

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Analysis of Spatiotemporal Evolution Characteristics of Dry and Wet Events in Sichuan Province from 1960 to 2019 by HUANG Yi, LI Yunyun, FAN Jingjing, ZHENG Junwei, ZHANG Qing

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Chaotic hiding and its positive definite blind extraction algorithm of speech signal by Er-fu WANG, Yuan-shuo ZHENG, Xin-wu CHEN, Xiao-zhen LIU

Subjects: “…wavelet transform…”
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STUDY ON THE INFLUENCE OF COAL PROPERTIES ON THE LOAD CHARACTERISTICS AND FRACTAL ANALYSIS by HAO ZhiYong, WANG ShuaiLing, CHEN ZhiQiang, MAO Jun

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COMPORTAMIENTO NO LINEAL EN SERIES DE PRODUCTOS PRIMARIOS by Christian Espinosa Méndez, Juan Gorigoitía Gallardo, Carlos Maquieira Villanueva

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Network traffic anomaly detection method based on multi-scale characteristic by Xueyuan DUAN, Yu FU, Kun WANG, Taotao LIU, Bin LI

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Multi-step attack detection method based on network communication anomaly recognition by Ankang JU, Yuanbo GUO, Tao LI, Ziwei YE

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Application of Enhanced EWT and Enhanced Dictionary Learning in Bearing Faults Identification by Wu Caixia, Li Fan, Liu Yubo

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Temporal and Spatial Evolution Characteristics of Meteorological Drought in the Loess Plateau from 1961 to 2020 by LI Mengting, LI Chunguang

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Compressive Sensing Network Deeply Induced by Visual Mechanism by Mingkun Feng, Xiaole Han, Kai Zheng

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Boundary layer flow of a non-Newtonian fluid over an exponentially stretching sheet with the presence of a heat source/sink by Vinod Y．, K.R. Raghunatha, Suma Nagendrappa Nagappanavar, Nodira Nazarova, Manish Gupta, Sangamesh

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Un établissement rural gallo-romain à Gellainville " Le Radray " (Eure-et-Loir) (fin du Ier s. av. J.-C.-fin du IVe s. ap. J.-C.) by Hervé Delhoofs, Julie Rivière, Jonathan Simon, David Wavelet

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Microcrack feature extraction method for chaotic optical surface of silicon nitride ceramic bearing roller based on multi-scale wavelet transform enhancement and optimized PSO-FCM coupling by Yi Jiang, Mengtao Tang, Wenjie Dong, Guoxing Tang, Weiwen Hu, Jiao Li

“…To address the issue of chaotic optical gradient feature and non-target interference factors affecting the feature extraction effect of chaotic optical surface microcracks in silicon nitride ceramic bearing rollers, an algorithm for extracting microcrack features from chaotic optical surfaces of silicon nitride ceramic bearing rollers based on multi-scale wavelet transform enhancement and optimized PSO-FCM coupling is proposed. …”
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Consensus Patterns of a Set of Time Series via a Wavelet-Based Temporal Localization: Emphasizing the Utility over Point-Wise Averaging and Averaging under Dynamic Time Warping by Chekhaprabha Priyadarshanee Waduge, Naleen Chaminda Ganegoda, Darshana Chitraka Wickramarachchi, Ravindra Shanthakumar Lokupitiya

“…As a compromise, a pool of consensus series termed Ultimate Tamed Series (UTS) is studied here that adheres to temporal decomposition supported by the discrete Haar wavelet. We claim that UTS summarizes localized patterns, which would not be reachable via the series under DTW or the mean series. …”
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APPLICATION AND RESEARCH OF ACOUSTIC EMISSION TECHNOLOGY IN DYNAMIC MONITORING OF WIND TOWER by ZHANG PengLin, LIU RuiJun, WEI XiaoHong, KONG Peng, DENG HuiQing

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