Reliability of radiomics features as imaging biomarkers for evaluating brain aging: A study based on myelin protein and diffusion tensor imaging by Yuting Yan, Mengmeng Hu, Xiaodong He, Yuyun Xu, Xiaojun Sun, Jiaxuan Peng, Fanfan Zhao, Yuan Shao

“…The four most relevant features with the top four correlation coefficients were selected to compare their diagnostic performances with the DTI parameters, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AxD), and radial diffusivity (RD). Wavelet-HLL_glszm_ZoneEntropy, wavelet-HLL_gldm_DependenceEntropy, wavelet-LHL_glszm_ZoneEntropy, and log-sigma-2-0-mm-3D_gldm_DependenceEntropy were the four most relevant features, which had moderately significant correlations with PLP. …”
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All-or-none activity as a correlate of object awareness in monkey visual cortex by Anne‑Claire Collet, Roger Koenig‑Robert, Denis Fize, Rufin VanRullen

“…Here we used an innovative technique called Semantic Wavelet-Induced Frequency-Tagging (SWIFT), where cyclic wavelet-scrambling allowed us to isolate neural correlates of the semantic extraction from low-level features processing of the image. …”
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Monitoring of ball bearings via vibration analysis and envelope technique for predictive maintenance purposes by Adiel Pessoa, Paulo Cezar Büchner

“…Current techniques, such as envelope and wavelet analysis, are effective but have limitations. …”
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EMD-GM-ARMA Model for Mining Safety Production Situation Prediction by Menglong Wu, Yicheng Ye, Nanyan Hu, Qihu Wang, Huimin Jiang, Wen Li

“…Finally, aiming to predict the mining safety production situation, the EMD-GM-ARMA model was constructed via superimposing the prediction results of each subsequence, thereby compared to the ARIMA model, wavelet neural network model, and PSO-SVM model. The results demonstrated that the EMD-GM-ARMA model and the PSO-SVM model hold the highest prediction accuracy in the short-term prediction, and the wavelet neural network has the lowest prediction accuracy. …”
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In Situ Investigation of the 3D Mechanical Microstructure at Nanoscale: Nano-CT Imaging Method of Local Small Region in Large Scale Sample by Bo Dong, Feng Xu, Xiao-fang Hu, Hong-yan Qu, Dan Kang, Ti-qiao Xiao

“…To investigate the local micro-/nanoscale region in a large scale sample, an image reconstruction method for nanometer computed tomography (nano-CT) was proposed in this paper. In the algorithm, wavelets were used to localize the filtered-backprojection (FBP) algorithm because of its space-frequency localization property. …”
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Determining Planetary Boundary Layer Height by Micro-pulse Lidar with Validation by UAV Measurements by Yueh-Chen Wang, Sheng-Hsiang Wang, Jasper R. Lewis, Shuenn-Chin Chang, Stephen M. Griffith

“…Furthermore, the Haar wavelet and the Hybrid image processing can detect the PBL development comparably well, but both methods are dependent on their initial conditions and optimized algorithm settings. …”
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Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling by Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick K. Ronoh, Stephen E. Moore

“…HyMoLAP) model with machine learning techniques, including Wavelet-based eXtreme Gradient Boosting (WXGBoost) and Wavelet-based Gated Recurrent Unit (WGRU). …”
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Data-Driven Learning-Based Fault Tolerant Stability Analysis by Lei Ge, Shun Chen

“…A regularized regression wavelet (RRW) approach is proposed to optimize the learning result for the system fault. …”
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Research of composite safety protection for digital maps by Feng XU, Jia-nan LI, Jian-guo SUN

“…It took count in the discrete wavelet domain scheme, and obtained an ideal embedding set for watermarks in the electronic chart space. …”
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Secure video watermarking scheme for broadcast monitoring by LIU Li1, PENG Dai-yuan2, LI Xiao-ju1

“…Considered the authentication of video clips applied in broadcast monitoring, a new robust hashing algorithm for video was proposed based on the 3D wavelet transform （3D DWT）. The new proposed algorithm could realize the authentication of video clips by using the embedded watermark information created by the hash value and the watermark identifier. …”
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Noisy template skip list based log filtering in cloud systems by RAO Xiang1, WANG Huai-min1, CAI Hua2, ZHOU Qi2, SUN Ting-tao2, SHI Dian-xi1, YIN Gang1

“…First model noisy event logs into time series,use Haar wavelet transform to get the approximation time series and construct the noisy template library with skip list.Then,the similarity between target log time series and noisy tem-plate to filter the noisy logs was compared.Experiment results on a real cloud service shows that successfully filter out the noisy log and increase the validity of fault feature.…”
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Image Reconstruction Algorithm Based on Tree Sparsity Model for Visual Sensor Network by Min Hu, Xuwei Huang, Dan Long, Cailiang Shen

“…Based on the analysis of wavelet sparsity，a tree sparsity mode1 for VSN image was established and a new CS recovery algorithm for this mode1 was proposed. …”
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Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests by Piervincenzo Rizzo, Marcello Cammarata, Ivan Bartoli, Francesco Lanza di Scalea, Salvatore Salamone, Stefano Coccia, Robert Phillips

“…The prototype includes an algorithm based on wavelet transform and outlier analysis. The discrete wavelet transform is utilized to denoise ultrasonic signals and to generate a set of relevant damage sensitive data. …”
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Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms by Huseyin Kunt, Zeki Yetgin, Furkan Gozukara, Turgay Celik

“…To the best of the authors’ knowledge, there is no study for person recognition from freeform air-writing letters through IMU sensors, and also there is no study using the Fourier and Wavelet features in this context. Furthermore, the study is also original due to its publicly available air-writing dataset on the Turkish alphabet and also applying various machine learning algorithms. …”
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Temporal shifts in dengue epidemic in Guangdong Province before and during the COVID-19 pandemic: a Bayesian model study from 2012 to 2022. by Jiaqing Xu, Xiaohua Tan, Yi Quan, Dexin Gong, Hui Deng, Jianguo Zhao, Xing Huang, Yingtao Zhang, Zhoupeng Ren, Zuhua Rong, Weilin Zeng, Xing Li, Wenyuan Zheng, Shu Xiao, Jianpeng Xiao, Meng Zhang

“…<h4>Methods</h4>Based on the data of dengue reported cases, meteorological factors, and mosquito vector density in Guangdong Province from 2012 to 2022, wavelet analysis was applied to investigate the relationship between the dengue incidence in Southeast Asian (SEA) countries and the local dengue incidence in Guangdong Province. …”
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Components and predictability of pollutants emission intensity by Z. Farajzadeh, M.A. Nematollahi

“…For this purpose, two well-known artificial neural networks, multilayer perceptron, and wavelet-based neural network were applied to forecast the emission intensity of the selected pollutants and their components.FINDINGS: The emission intensity of nitrogen oxides and sulphur dioxide illustrated a decreasing trend. …”
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Research on color QR code watermarking technology based on chaos theory by Xi YIN, Weiqing HUANG

“…In order to carry on copyright protection and security verification of color QR code,the digital image chaos encryption technology and digital watermarking technology were respectively researched.Firstly,an improved image chaos encryption algorithm was proposed as a preprocessing step of digital watermarking algorithm.Then a color QR code digital watermarking algorithm was designed based on discrete wavelet transform and matrix singular value decomposition.Finally,the feasibility of the algorithm was verified by experiments.The results show that the proposed method has good resistance to JPEG compression,noise attack and cropping attack.…”
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Non-stationary signal combined analysis based fault diagnosis method by Zhe CHEN, Yuqi HU, Shiqing TIAN, Huimin LU, Lizhong XU

“…Considering the complementarity between the deep learning,spectrum and time frequency analysis methods,a multi-stream framework was designed by combining the convolutional network,Fourier transform and wavelet package decomposition methods,with the aim to analyze the non-stationary signal.Accordingly,a none-stationary signal combined analysis based fault diagnosis method was proposed to extract features in difference aspects.The fault diagnosis experiments demonstrate that the combined analysis method can efficiently and stably depict the fault and significantly improve the performance of fault diagnosis.…”
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Entropy numbers of embeddings of function spaces with Muckenhoupt weights, III. Some limiting cases by Dorothee D. Haroske, Leszek Skrzypczak

“…Essential tools are a discretisation in terms of wavelet bases, as well as a refined study of associated embeddings in sequence spaces and interpolation arguments in endpoint situations.…”
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Correlation Coefficient of Simplified Neutrosophic Sets for Bearing Fault Diagnosis by Lilian Shi

“…Vibration signals of rolling bearings are acquired by an acceleration sensor, and a morphological filter is used to reduce the noise effect. Wavelet packet is applied to decompose the vibration signals into eight subfrequency bands, and the eigenvectors associated with energy eigenvalue of each frequency are extracted for fault features. …”
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