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A New Transformation Method for Solving High-Order Boundary Value Problems
Published 2022-09-01“…Our method is based on the classical differential transform method and differs from it by calculating the coefficients of the solution, which has the form of a series. …”
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103
Analyzing How Skinfold Thickness Affects Log-Transformed EMG Amplitude–Power Output Metrics
Published 2024-12-01“…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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104
DA-ResNeXt50 method for radio frequency fingerprint identification based on time-frequency and bispectral feature fusion
Published 2024-09-01“…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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Innovative transformer neural network for wind density function estimation at different hub heights of turbine
Published 2025-07-01“…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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107
Bioavailability and Health Effects of Some Carotenoids by Different Cooking Methods
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108
Leveling method for airborne electromagnetic data based on the curvelet transform and adaptive group-sparse variational model
Published 2025-04-01“…Traditional leveling methods predominantly rely on time-domain and frequency-domain analysis to characterize leveling errors. …”
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109
Automatic serving method of volleyball training robot based on improved YOLOv5 and improved Hough transform
Published 2025-08-01“…An automatic serving method for volleyball training robots is proposed based on You Only Look Once v5 and Hough transform. …”
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110
Evaluating the Impact of Digital Transformation on Urban Innovation Resilience
Published 2024-12-01“…It treats the Broadband China Pilot (BCP) policy as a quasi-natural experiment of digital transformation and employs a time-varying Difference-in-Differences (DID) method to investigate the impact of digital transformation on urban innovation resilience. …”
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An artificial neural networks approach and hybrid method with wavelet transform to investigate the quality of Tallo River, Indonesia
Published 2023-07-01“…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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112
Underwater Small Target Detection Method Based on the Short-Time Fourier Transform and the Improved Permutation Entropy
Published 2024-10-01“…To validate the proposed methods, comparative analysis experiments were executed utilizing actual experiment data. …”
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113
Design of Double-Loop Current Transformer Based on Magnetic Field Incomplete Cancellation
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114
A Method of Transformer Fault Diagnosis Based onImproved BP Neural Network
Published 2021-01-01“…Relationship between transformer internal faults and gases dissolved in oil with different components and different contents is the main research content of transformer fault diagnosis. …”
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Comparison of the results obtained by Iman transform with Laplace transform
Published 2024-12-01“…Applications of these two transforms show that these integral transform methods are closely related to each other.…”
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116
Optimizing Shortwave Wideband RF Amplifier: Study of Transmission Line Transformer Construction Methods
Published 2024-12-01“…This paper compares six different TLTs built on various ferrite cores and employing different implementations of transmission lines. …”
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117
An Optimised Method for Fetching and Transforming Survey Data based on SQL and R Programming Language
Published 2019-06-01“…The most common approach used to collect information is called the survey system. This method, however, suffers one major drawback. The decision makers consume considerable time to transform data from survey sheets to analytical programs. …”
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Improved Patch-Mix Transformer and Contrastive Learning Method for Sound Classification in Noisy Environments
Published 2024-10-01“…The structural influence of urban noise on audio signals complicates feature extraction and audio classification for environmental sound classification methods. To address these challenges, this paper proposes a Contrastive Learning-based Audio Spectrogram Transformer (CL-Transformer) that incorporates a Patch-Mix mechanism and adaptive contrastive learning strategies while simultaneously improving and utilizing adaptive data augmentation techniques for model training. …”
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Research on Medium- and Long-Term Hydropower Generation Forecasting Method Based on LSTM and Transformer
Published 2024-11-01“…This study proposes a hydropower generation forecasting method based on Transformer and SE-Attention for different provinces. …”
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