Analyzing How Skinfold Thickness Affects Log-Transformed EMG Amplitude–Power Output Metrics by Matthew J. Kraydich, Jacob Gonzalez, Marcus A. Ziebold, Patrick N. Asmar, Amanda Chehab, Moh H. Malek

“…We hypothesized that using skinfold thickness as a covariate would reduce the subject-by-subject variability in the <i>y</i>-intercept and slope terms and, therefore, indicate potential mean differences between muscle groups. Methods: Subjects had the skinfold from their three superficial quadriceps femoris muscles measured and then EMG electrodes placed over the three muscles. …”
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θ–Parameter differential transform with homotopy analysis methods for solving nonlinear initial and boundary value problems by Ahmed Farooq Qasim, Susan H. Mohammad, Abdulghafor M. Al-Rozbayani

“…The suggested methodology extends the general differential transform method (DTM), enabling the employment of different values of the parameter [Formula: see text] The proposed solution method provides the clear advantage of allowing the original DTM to be divided into several stages, hence demonstrating the specific solution characteristics of nonlinear boundary value problems. …”
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DA-ResNeXt50 method for radio frequency fingerprint identification based on time-frequency and bispectral feature fusion by CHEN Mengdi, ZHANG Wei, SHEN Lei, LEI Fuqiang, ZHANG Jiafei

“…Firstly, short-time Fourier transform (STFT) and bi-spectrum transform were performed separately on the signals collected from different devices, the resulting images were bi-narized and then concatenated. …”
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Denoising of Inflow of Pingzhai Reservoir Based on Fusion Algorithm of Wavelet Transform and Savitzky-Golay Filter by GAO Lin, SONG Jinwei, LI Zuoxiao

“…The window length and polynomial order were further optimized through denoising evaluation indicators to achieve wavelet transform Savitzky-Golay filter fusion denoising. This method was applied to the historical flood events of Pingzhai Reservoir to infer the inflow, and the relative error of flood peak, peak time difference, and smoothness were set as evaluation indicators. …”
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Denoising of Inflow of Pingzhai Reservoir Based on Fusion Algorithm of Wavelet Transform and Savitzky-Golay Filter by GAO Lin, SONG Jinwei, LI Zuoxiao

“…The window length and polynomial order were further optimized through denoising evaluation indicators to achieve wavelet transform Savitzky-Golay filter fusion denoising. This method was applied to the historical flood events of Pingzhai Reservoir to infer the inflow, and the relative error of flood peak, peak time difference, and smoothness were set as evaluation indicators. …”
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Sub-Pixel Displacement Measurement with Swin Transformer: A Three-Level Classification Approach by Yongxing Lin, Xiaoyan Xu, Zhixin Tie

“…In order to avoid the dependence of traditional sub-pixel displacement methods on interpolation method calculation, image gradient calculation, initial value estimation and iterative calculation, a Swin Transformer-based sub-pixel displacement measurement method (ST-SDM) is proposed, and a square dataset expansion method is also proposed to rapidly expand the training dataset. …”
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Molecular validation of genetically transformed Catharanthus roseus plants via different strains of Agrobacterium tumefaciens by Rania El-Tanbouly, Hend Hassan, Lojina M. Awd, Azza Ali Makhlouf, Hani G. Shalabi, Sarah El-Messeiry

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Innovative transformer neural network for wind density function estimation at different hub heights of turbine by Amit Kumar Yadav, Vibha Yadav, Walle Tilahun

“…The results demonstrate the Transformer model’s high accuracy and robustness in estimating WDF, making it a reliable tool for assessing wind energy potential at different turbine hub heights.…”
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FORENSIC-AUDIT AS AN IMPERATIVE OF ECONOMIC SECURITY AND DEVELOPMENT OF THE COMPANY IN THE CONDITIONS OF GLOBAL TRANSFORMATIONS by K. Nazarova, M. Nezhyva, T. Lositska, V. Miniailo, N. Novikova

“…The article outlines the main directions of forensics in risk management, among which are: investigation of fraud; support in court proceedings; corporate intelligence; computer forensics; compliance with anti-corruption legislation, as well as to use preventive measures to prevent fraud. The classical methods and algorithm of financial investigation are outlined and it is noted that they may differ depending on the purpose for which forensics is conducted, the industry in which the company operates, and others. …”
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MCATD: Multi-Scale Contextual Attention Transformer Diffusion for Unsupervised Low-Light Image Enhancement by Cheng da, Yongsheng Qian, Junwei Zeng, Xuting Wei, Futao Zhang

“…The framework consists of three key components: 1) a Dynamic Adaptive Diffusion Sampling (DADS) strategy that adjusts sampling steps based on image complexity, 2) a Multi-scale Contextual Attention Transformer (MCAT) network that captures features at different scales with attention mechanisms, and 3) a Multi-scale Dynamic Structure-Preserving (MDSP) loss that preserves image structure while optimizing perceptual quality. …”
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Leveling method for airborne electromagnetic data based on the curvelet transform and adaptive group-sparse variational model by Qiong Zhang, Xin Chen, Haomiao Wang, Zhonghang Ji, Fei Yan, Yunqing Liu

“…Traditional leveling methods predominantly rely on time-domain and frequency-domain analysis to characterize leveling errors. …”
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Automatic serving method of volleyball training robot based on improved YOLOv5 and improved Hough transform by Tao Sun, Xiaolong He, Jiajun Zhang

“…An automatic serving method for volleyball training robots is proposed based on You Only Look Once v5 and Hough transform. …”
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An artificial neural networks approach and hybrid method with wavelet transform to investigate the quality of Tallo River, Indonesia by Dahlan Abdullah, Kristina Gartsiyanova, Khurramova (Eshmamatova) Madina Mansur qizi, Eshkobilov Akhmad Javlievich, Mullabayev Baxtiyarjon Bulturbayevich, Gavxar Zokirova, Mohd Norazmi Nordin

“…The findings indicated that using the hybrid method with wavelet transformation ameliorated the ANN model's exactitude by 10% during training and 16% during testing. …”
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Design of Double-Loop Current Transformer Based on Magnetic Field Incomplete Cancellation by Wenbo Li, Xiaojun Tang, Youshui Lu, Ling Yan, Yi Wu, Mingzhe Rong

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Underwater Small Target Detection Method Based on the Short-Time Fourier Transform and the Improved Permutation Entropy by Jing Zhou, Baoan Hao, Yaan Li, Xiangfeng Yang

“…To validate the proposed methods, comparative analysis experiments were executed utilizing actual experiment data. …”
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Optimizing Shortwave Wideband RF Amplifier: Study of Transmission Line Transformer Construction Methods by G. Krupa, G. Budzyn

“…This paper compares six different TLTs built on various ferrite cores and employing different implementations of transmission lines. …”
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PRINCIPLES OF DEVELOPMENT OF MATHEMATICAL METHODS FOR MODELING PRODUCTION PROCESSES AT THE PRESENT STAGE OF SOCIETY TRANSFORMATION by P. V. Komissarov

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Prediction of soil chemical properties using multispectral satellite images and wavelet transforms methods by Chaitanya B. Pande, Sunil A. Kadam, Rajesh Jayaraman, Sunil Gorantiwar, Mukund Shinde

“…Soil chemical properties analysis and forecast model was developed and validated with the Wavelet transform methods and multispectral satellite images. …”
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Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…Six encoding techniques for time series data were evaluated: Markov transition fields (MTF), Gramian angular summation field (GASF), Gramian angular difference field (GADF), Recurrence plots (RP), and time–frequency analysis methods, including short-time Fourier transform (STFT) and continuous wavelet transform (CWT). …”
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Transforming Informed Consent Generation Using Large Language Models: Mixed Methods Study by Qiming Shi, Katherine Luzuriaga, Jeroan J Allison, Asil Oztekin, Jamie M Faro, Joy L Lee, Nathaniel Hafer, Margaret McManus, Adrian H Zai

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