The Architecture of the Global Geo-Economics: Pre-Determination of the Crisis and the Vector of Transformations by D. G. Evstafiev

“…The taken article is based upon the generalization of the experience of the global geo-economic transformations that are reflected in the different formats of the institutionalization. …”
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SSATNet: Spectral-spatial attention transformer for hyperspectral corn image classification by Bin Wang, Gongchao Chen, Juan Wen, Linfang Li, Songlin Jin, Yan Li, Ling Zhou, Weidong Zhang

“…To address these issues, this paper proposes a spectral-spatial attention transformer network (SSATNet) for hyperspectral corn image classification. …”
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“Narrative Transformations” in Texts of Non-Classical Artistic Paradigm (Cinema, Literature) by E. V. Abramovskikh

“…Typologically similar trends in the use of “narrative transformations” in literature and cinema are shown. The fundamental difference of their implementation in various symbolic systems is commented. …”
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Analysis of tripartite evolutionary game in the digital transformation of China's rural industries by Xu Weiwei

“…IntroductionPromoting the digital transformation of rural industry is a necessary path for the modernization and development of agriculture and rural areas.MethodsBased on the evolutionary game theory, this study constructs a tripartite evolutionary game model of the government, digital technology suppliers, and rural industry subjects. …”
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Hierarchical attention transformer provides assistant suggestions for orbital rejuvenation surgery by Xiang Lian, Xiang Lian, Xiang Lian, Xin Hu, Guannan Li, Siqi Wu, Yihao Liu, Ke Qin, Kai Liu, Kai Liu, Kai Liu

“…This study aims to develop and evaluate an AI-based decision-making system for periocular cosmetic surgery, utilizing a Hierarchical Attention Transformer (HATrans) model designed for multi-label classification in periocular conditions, allowing for home-based early aging identification.MethodsThis cross-sectional study was conducted at the Department of Plastic and Reconstructive Surgery at Shanghai Jiao Tong University School of Medicine’s Ninth People’s Hospital from September 1, 2010, to April 30, 2024. …”
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Relationship between transformational leadership and positive youth development in Japanese sports by Saori Nakayama, Makoto Izawa

“…IntroductionThis study examined the relationship between transformational leadership (TFL) behaviors of coaches and positive youth development (PYD) outcomes in Japanese youth sports settings. …”
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Wavelet-Analysis of Cardiosignals Using Matlab by B. F. Badalyan, H. A. Gomtsyan, S. G. Gomtsyan

“…However, all listed methods have a number of disadvantages impairing the accuracy of QRS-complex determination. …”
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Proposal of a Methodology Based on Using a Wavelet Transform as a Convolution Operation in a Convolutional Neural Network for Feature Extraction Purposes by Nora Isabel Pérez-Quezadas, Héctor Benítez-Pérez, Adrián Durán-Chavesti

“…It is interesting to note that in this methodological generation, several methods converge, such as Wavelet transform, focusing on convolution processing, windowed data shifting, and classification via Self-Organizing Maps. …”
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An artificial intelligence and machine learning-driven CFD simulation for optimizing thermal performance of blood-integrated ternary nano-fluid by Mohib Hussain, Du Lin, Hassan Waqas, Qasem M. Al-Mdallal

“…Non-linear, coupled partial differential equations are transformed into ordinary differential equations with similarity scaling to characterize heat transfer and fluid flow, which are then numerically solved using the modified finite difference method (the Keller-Box method). …”
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Toward New Assessment in Sarcoma Identification and Grading Using Artificial Intelligence Techniques by Arnar Evgení Gunnarsson, Simona Correra, Carol Teixidó Sánchez, Marco Recenti, Halldór Jónsson, Paolo Gargiulo

“…We extracted quantitative features from both raw and wavelet-transformed images, including first-order statistics and texture descriptors such as the gray-level co-occurrence matrix (GLCM), gray-level size-zone matrix (GLSZM), gray-level run-length matrix (GLRLM), and neighboring gray tone difference matrix (NGTDM). …”
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Quantitative Determination of Surface Morphology of Red Blood Cell by Özlem Kocahan Yılmaz

“…In this study, the determination of the surface morphology of red blood cell (RBC) from interferogram image obtained by quantitative phase imaging (QPI) method is presented. QPI, is an optical measurement method frequently used in recent years, allows to obtain quantitative data for different samples (cell, thin film surface, etc.). …”
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Estimation of an Abnormal Noise Location Over Multi-Span Optical Fiber Link Based on Nonlinear Fourier Transform by Takumi Motomura, Akihiro Maruta, Hideaki Shimpo, Ken Mishina

“…This research proposes the application of nonlinear Fourier transform (NFT) for detecting abnormality. Particularly, we explore a method for estimating the abnormal noise location by monitoring the variances and covariance of the discrete eigenvalues in the NFT. …”
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Super‐resolution reconstruction algorithm for medical images by fusion of wavelet transform and multi‐scale adaptive feature selection by QiaoSu Wang, Qiaomei Ma

“…To better extract detailed features and enhance the cascading effects of different feature levels, we propose a novel medical image super‐resolution algorithm that integrates discrete wavelet transform and multi‐scale adaptive feature selection. …”
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APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX by WANG ChaoGe, LIU TongTong, REN XuePing, ZHANG HaoDong, WANG JianGuo

“…Firstly,the dual-tree complex wavelet transform method was used to decompose the collected vibration signals into several components with different frequency bands.. …”
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Time–Frequency Characteristics of Vehicle–Bridge Interaction System for Structural Damage Detection Using Multi-Synchrosqueezing Transform by Mingzhe Gao, Xinqun Zhu, Jianchun Li

“…This paper proposes a novel method based on multi-synchrosqueenzing transform to extract the time-varying characteristics of the vehicle–bridge interaction systems for bridge structural health monitoring. …”
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Hilbert–Huang transform and spectrum-weighted reconstruction integration for millimeter wave radar-based heart rate detection by Hao CUI, Luyao LIU, Hao CHEN, Wendong XIAO

“…The absolute error of the proposed HR estimation method increases from 0.007 to 0.026 Hz as distance is increased. …”
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Rapid Identification of Atmospheric Gaseous Pollutants Using Fourier-Transform Infrared Spectroscopy Combined with Independent Component Analysis by Wei Ju, Changhua Lu, Chun Liu, Weiwei Jiang, Yujun Zhang, Feng Hong

“…Due to the overlap of different gas absorption peaks and the interference of water vapor in the actual measurement, the existing identification methods of gas spectra have drawbacks of low identification rate and the inability to carry out real-time online analysis in atmospheric quality monitoring. …”
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Wavelet Packet Transform based Speech Enhancement via Two-Dimensional SPP Estimator with Generalized Gamma Priors by Pengfei SUN, Jun QIN

“…Although various speech enhancement techniques have been developed for different applications, existing methods are limited in noisy environments with high ambient noise levels. …”
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Faster and More Accurate Time Domain Electromagnetic Simulation Using Space Transformation by Mohammadrahim Kazemzadeh, Weiliang Xu, Neil G.R. Broderick

“…A novel finite difference time domain (FDTD) method based on space transformations is developed that overcomes the inherent obstacles of the conventional FDTD algorithm in a spatially complex domain. …”
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Separation of Body and Surface Wave Background Noise and Passive Seismic Interferometry Based on Synchrosqueezed Continuous Wavelet Transform by Xiaolong Li, Fengjiao Zhang, Zhuo Xu, Xiangbo Gong

“…In practical passive seismic data, body wave noise and surface wave noise often overlap in frequency bands, making it challenging to separate them effectively using conventional methods. The synchrosqueezed continuous wavelet transform, as a high-resolution time–frequency analysis method, can effectively capture the variations in frequency of passive seismic data. …”
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