Digital Rebirth of Dongba Pattern: An Improved Active Contour Model for Pattern Contour Extraction by Yuan Li, Tao Wu, Rongbing Fu, En Lu

“…The improved active contour method adds discrete wavelet transform for energy minimization. Moreover, the minimization formula assigns greater weight to foreground pixels. …”
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Graph-Based Analysis of RNA Secondary Structure Similarity Comparison by Lina Yang, Yang Liu, Xiaochun Hu, Patrick Wang, Xichun Li, Jun Wu

“…A combinational method involving a discrete wavelet transform (DWT) and fractal dimension with sliding window is introduced to analyze and compare the graphs derived from feature extraction; after that, the distance matrix is generated. …”
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Fault Diagnosis of Subway Traction Motor Bearing Based on Information Fusion under Variable Working Conditions by Yanwei Xu, Weiwei Cai, Tancheng Xie

“…Then, the original signal is processed and extracted by the wavelet packet decomposition, and the normalized feature information is fused by the convolution neural network. …”
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Research on Coal-Rock Fracture Image Edge Detection Based on Tikhonov Regularization and Fractional Order Differential Operator by Chunsheng Liu, Chunping Ren

“…In addition, the proposed method is compared with Canny algorithm, B-spline wavelet transform, and multidirection fuzzy morphological edge detection method, can detect more coal-rock fracture infrared image edge details, and is more robust to noise.…”
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Spatial and Temporal Variability of Sea Surface Temperature in Eastern Marginal Seas of China by Renhao Wu, Jianmin Lin, Bo Li

“…In order to investigate the interannual variation of SST, the EMSC SST interannual index was constructed. Based on wavelet analysis, a significant peak around 3.3 years was found in the EMSC SST interannual index. …”
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Diagnosis experience of traction engines of locomotives by Ngoulou-A-Ndzeli, V. Yu. Tetter, V. G. Shakhov

“…Authors propose a method and algorithms for the rapid diagnosis of locomotives traction engines based on duplication of main frequency channel by additional wavelet analysis and decision — making on the methodology of fuzzy logic. …”
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Blind Source Parameters for Performance Evaluation of Despeckling Filters by Nagashettappa Biradar, M. L. Dewal, ManojKumar Rohit, Sanjaykumar Gowre, Yogesh Gundge

“…The SMPI is three times more effective compared to the wavelet based generalized likelihood estimation approach. …”
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Shockwave-Based Automated Vehicle Longitudinal Control Algorithm for Nonrecurrent Congestion Mitigation by Liuhui Zhao, Joyoung Lee, Steven Chien, Cheol Oh

“…In the advent of Connected/Automated Vehicle (C/AV) environment, the proposed algorithm can be applied to capture instantaneous shockwaves constructed from vehicular speed profiles shared by individual equipped vehicles. With a continuous wavelet transform (CWT) method, the algorithm detects abnormal speed drops in real-time and optimizes speed to prevent the shockwave propagating to the upstream traffic. …”
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Exploring the role of ICT adoption technologies and renewable energy consumption in achieving a sustainable environment in the United States: an SDGs-based policy framework by Tomiwa Sunday Adebayo, Oktay Özkan, Dilber Uzun Ozsahin, Babatunde Sunday Eweade, Bright Akwasi Gyamfi

“…This study, therefore, investigates the key drivers of CO2 emissions (CO2) in the United States using data from 1990Q1 to 2021Q4. The study employs wavelet quantile-on-quantile regression along with quantile cointegration to analyze these dynamics across different quantiles and timeframes. …”
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Maximum Entropy Threshold Segmentation for Target Matching Using Speeded-Up Robust Features by Mu Zhou, Xia Hong, Zengshan Tian, Huining Dong, Mingchun Wang, Kunjie Xu

“…Third, from the 2D Haar wavelet responses, we generate the 64-dimensional (64D) feature point descriptor vectors. …”
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Natural Frequencies and Modal Damping Ratios Identification of Civil Structures from Ambient Vibration Data by Minh-Nghi Ta, Joseph Lardiès, Berthillier Marc

“…From output data only, the modal parameter are extracted using a subspace method and the wavelet transform method.…”
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Detection and Quantization of Bearing Fault in Direct Drive Wind Turbine via Comparative Analysis by Wei Teng, Rui Jiang, Xian Ding, Yibing Liu, Zhiyong Ma

“…MuSEnS can manifest fault modulation information adaptively based on the capacity of complex wavelet transform, which enables the weak bearing fault in DDWT to be detected. …”
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Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy by Parvin Zarei Eskikand, Mark J. Cook, Anthony N. Burkitt, David B. Grayden

“…Six TT-injected rats were observed over a 40-day period, with continuous EEG monitoring to record seizure events. Wavelet transform analysis revealed significant multiday cycles in seizure occurrences, with periods ranging from 4 to 7 days across different rats. …”
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Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics by Vladimir S. Kublanov, Anton Yu. Dolganov, David Belo, Hugo Gamboa

“…Moreover, in the study, different methods of feature extraction are analyzed: statistical, spectral, wavelet, and multifractal. All in all, 53 features were investigated. …”
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Distributed Compressed Video Sensing in Camera Sensor Networks by Yu Liu, Xuqi Zhu, Lin Zhang, Sung Ho Cho

“…The DCVS scheme using SI-BP is designed over two frame signal models, the mixture Gaussian (MG) model and the wavelet hidden Markov tree (WHMT) model. Simulation results evaluated on two video sequences illustrate that the SI-BP-based DCVS scheme is error resilient when the measurements are transmitted through the noisy wireless channels.…”
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Retracted: Application of Migration Image Registration Algorithm Based on Improved SURF in Remote Sensing Image Mosaic by Tian Zhang, Rui Zhao, Zhongsheng Chen

“…Firstly, image preprocessing is carried out by image binarization, feature points are extracted by Hes-sian matrix, and then feature description is carried out by using circular neighborhood of feature points. Har wavelet response is used to establish descriptors for each feature point, and the normalized gray-level difference and second-order gradient in the neighborhood are calculated simultaneously to form a new feature descriptor. …”
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Rapid Driving Style Recognition in Car-Following Using Machine Learning and Vehicle Trajectory Data by Qingwen Xue, Ke Wang, Jian John Lu, Yujie Liu

“…Then, the driving style recognition model’s inputs are extracted from vehicle trajectory features, including acceleration, relative speed, and relative distance, using Discrete Fourier Transform (DFT), Discrete Wavelet Transform (DWT), and statistical method to facilitate the driving style recognition. …”
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Estimation of Modal Properties of Low-Rise Buildings Using Ambient Excitation Measurements by K. K. Wijesundara, C. Negulescu, E. Foerster

“…Continuous wavelet transform (CWT) has recently emerged as a promising tool for identification of modal properties through ambient excitation measurements of structures. …”
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Spatiotemporal Traffic Flow Prediction with KNN and LSTM by Xianglong Luo, Danyang Li, Yu Yang, Shengrui Zhang

“…Experimental results indicate that the proposed model can achieve a better performance compared with well-known prediction models including autoregressive integrated moving average (ARIMA), support vector regression (SVR), wavelet neural network (WNN), deep belief networks combined with support vector regression (DBN-SVR), and LSTM models, and the proposed model can achieve on average 12.59% accuracy improvement.…”
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Three-Dimensional Reconstruction of Road Structural Defects Using GPR Investigation and Back-Projection Algorithm by Lutai Wang, Zhen Liu, Xingyu Gu, Danyu Wang

“…Initially, GPR detection images were preprocessed, including direct wave removal and wavelet denoising, followed by the application of the BP algorithm to effectively restore the defect’s location and size. …”
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