Wavenumber Processing Techniques to Determine Structural Intensity and Its Divergence from Optical Measurements without Leakage Effects by Jean-Claude Pascal, Jing-Fang Li, Xavier Carniel

“…The technique of processing data in the wavenumber domain based on the Spatial Fourier Transform (SFT), is a powerful tool to compute higher-order partial derivatives occurred in the expressions of the structural intensity and its divergence. …”
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Correlation between Asphaltene Stability in n-Heptane and Crude Oil Composition Revealed with Chemical Imaging by Anton A. Gabrienko, Velu Subramani, Oleg N. Martyanov, Sergei G. Kazarian

“…Five crude oil samples with different physical properties have been studied with respect to asphaltene stability. …”
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Genetic study of Salmonella spp. Producting Betalatimase (ESBLs) by Baghdad Science Journal

“…Ten isolates were collected from different clinical sources from laboratory in medicine century . …”
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Coprolite Multimodal Analysis: A Tool for <i>Hyaenid</i> Predator Identification by Yannicke Dauphin, Jean-Philip Brugal

“…Our preliminary findings suggest that multivariate statistical analysis of these components could provide a reliable method for species identification based solely on fecal content, results which can be applied in research on fossil materials.…”
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Day-Ahead Coordinated Low Carbon Robust Scheduling of Hydro-Electricity-Natural Gas System Considering Power-to-Gas to Accommodate Excessive Hydro Generation by Hongyuan XU, Taicong LONG, Qidao ZHAO, Pai LI, Lu NAN, Qi ZHANG, Yuhang CHEN, Jing TAN

“…The nonlinear constraint in the proposed model is transformed into a mixed-integer linear model based on piecewise linearization method and Taylor series expansion method. …”
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Enhanced Rolling Bearing Fault Diagnosis Using Multimodal Deep Learning and Singular Spectrum Analysis by Yunhang Wang, Hongwei Wang, Ruoyang Bai, Yuxin Shi, Xicong Chen, Qingang Xu

“…Furthermore, decision-level multimodal feature fusion is achieved by applying a weighted average method to integrate the features from different deep learning models, aiming to obtain more comprehensive fault prediction results. …”
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Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

“…Currently, the dominant single-modal feature extraction methods cannot cover the information of different modalities, resulting in poor classification performance of existing methods, especially the multi-classification problem. …”
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Channel component correlation analysis for multi-channel EEG feature component extraction by Wenqiang Yan, Wenqiang Yan, Qi Luo, Chenghang Du

“…Firstly, empirical wavelet transform (EWT) decomposed each channel signal into different frequency bands, and reconstructed them into a multi-dimensional signal. …”
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Classification of Lactate Level Using Resting-State EEG Measurements by Saad Abdulazeez Shaban, Osman Nuri Ucan, Adil Deniz Duru

“…This work proposes a system based on the fast Fourier transform (FFT) as a feature extraction method for the classification of human brain resting-state electroencephalography (EEG) recorded signals. …”
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Research on Multi-Channel Spectral Prediction Model for Printed Matter Based on HMSSA-BP Neural Network by Dandan Fan, Hongwu Zhan, Fang Xu, Yifei Zou, Yankang Zhang

“…Several experiments are performed to verify the significance of the proposed method under different scenarios. Compared with the existing methods, the proposed multi-channel spectral prediction model exhibits the superiority in improving the accuracy of predicting the actual printing image.…”
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The Spatiotemporal Variations in and Propagation of Meteorological, Agricultural, and Groundwater Droughts in Henan Province, China by Huazhu Xue, Ruirui Zhang, Wenfei Luan, Zhanliang Yuan

“…The Pearson correlation coefficient (PCC) and theory of run were utilized to identify the propagation times between different types of droughts. Cross-wavelet transform (XWT) and wavelet coherence (WTC) were applied to investigate the linkages among the three types of droughts. …”
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A Methodology for Acceleration Signals Segmentation During Forming Regular Reliefs Patterns on Planar Surfaces by Ball Burnishing Operation by Stoyan Dimitrov Slavov, Georgi Venelinov Valchev

“…The results obtained from the proposed GMM based algorithm applied on compressed RMS accelerations signals is compared with two other methods, i.e., Short-Time Fourier Transforms and Continuous Wavelet Transform. …”
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Study on the Characteristics and Formation Mechanism of Pressure Fluctuation in an Axial Flow Pump Based on Dynamic Mode Decomposition by Z. Y. Zhuang, H. H. Zhou, Z. Y. Yu

“…In addition, the used method, which combines both FFT and DMD, revealed that the formation mechanisms of pressure fluctuations at different frequencies are different. …”
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Regiocontroll synthesis cellulose-graft-polycaprolactone copolymer (2,3-di-O-PCL-cellulose) by a new route by K. L. Wang, N. Jiang, B. B. He, D. X. Kang

“…It is strongly believed that the new discovery may give a novel, environmental, simple and inexpensive method to modify cellulose chemically with various side chains grafted on a given hydroxyl, through liberating hydroxyl as reactive group from hydrogen bonds broken selectively by different solvents.…”
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MSTCNet: Toward Generalization Improving for Multiframe Infrared Small Target Detection by Ruining Cui, Na Li, Junfu Liu, Huijie Zhao

“…Finally, in the experimental part, we adopt the DG verification method, dividing the dataset into different source domains and target domains for experimental verification. …”
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Recognizing Special Art Pieces Through EEG: A Journey in Neuroaesthetics Classification by Maurizio Palmieri, Marco Avvenuti, Francesco Marcelloni, Alessio Vecchio

“…The first two methods exploit classical machine learning approaches based on various sets of features extracted using different techniques for EEG analysis. …”
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Lamb wave ultrasonic testing technology for diagnosis and prediction of hidden cracks in metal structures by Dawen Yao, Peiwen Meng, Shuqi Li, Jinggang Xu

“…This technology combines signal preprocessing techniques such as wavelet transform denoising and high-pass filtering to improve signal quality. …”
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Euphorbia serpens extracts mediated synthesis of copper oxide nanoparticles and their biological applications by Sana Idrees, Banzeer Ahsan Abbasi, Javed Iqbal, Mohsin Kazi

“…The minimum inhibitory concentration (MICs) values were calculated for different bacterial and fungal strains via disc-diffusion method. …”
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Utilization of Bottom Ash from Biomass Combustion in a Thermal Power Plant to Remove Cadmium from the Aqueous Matrix by Eva Pertile, Tomáš Dvorský, Vojtěch Václavík, Bohdana Šimáčková, Lukáš Balcařík

“…The Fourier Transform Infrared method was used to analyse and identify the different functional groups occurring in bottom ash. …”
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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…A method is proposed for fault classification in milling machines using advanced image processing and machine learning. …”
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