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101
Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography Datadd
Published 2023-12-01“…Thirdly, considering the health status and service life of transformer, the distribution model of transformer failure rate is established by data-driven generalized polynomial chaos method. …”
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102
DDoS-MSCT: A DDoS Attack Detection Method Based on Multiscale Convolution and Transformer
Published 2024-01-01“…In order to provide an effective method for detecting abnormal traffic, this paper proposes a novel network architecture called DDoS-MSCT, which combines a multiscale convolutional neural network and transformer. …”
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103
A novel method for power transformer fault diagnosis considering imbalanced data samples
Published 2025-01-01“…IntroductionMachine learning-based power transformer fault diagnosis methods often grapple with the challenge of imbalanced fault case distributions across different categories, potentially degrading diagnostic accuracy. …”
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104
Evidence conflict measurement method based on Pignistic probability transformation and singular value decomposition
Published 2021-04-01“…In view of the problem of poor adaptability and low accuracy of common evidence conflict measurement method, an evidence conflict measurement method based on Pignistic probability transformation and singular value decomposition was proposed.First, Pignistic probability transformation was used to map the evidence focal element difference to the belief difference, and the evidence composite belief function matrix was constructed.Then, the matrix features were extracted by singular value decomposition, and the matrix feature space was divided into similar subspace and conflict subspace according to singular value characteristics.Considering the similarity and conflict characteristics of the evidence matrix, and the ratio of the singular value of the conflict subspace to the singular value of the similar subspace was taken as the new conflict measure factor.Finally, the proposed method was compared with common methods in various evidence conflict scenarios, such as full conflict scenario, variable reliability scenario, variable focus element scenario, focal element nested scenario, and the results show that the proposed method has wide adaptability, high accuracy and good stability.…”
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105
Traffic concealed data detection method based on contrastive learning and pre-trained Transformer
Published 2025-03-01“…To solve the problems of characterizing representing massive encrypted traffic, perceiving malicious behaviors, and identifying the ownership of privacy data, a traffic concealed data detection method was proposed based on contrastive learning and pre-trained Transformer. …”
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106
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107
A robust method for calculating the vertical derivative of potential fields based on Hilbert transforms
Published 2025-05-01“…Our approach leverages the Hilbert transform properties in the frequency domain combined with finite difference approximations for horizontal derivatives in the spatial domain, establishing a recursive framework for vertical derivative computation. …”
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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
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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111
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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112
Comparisons of different deep learning-based methods on fault diagnosis for geared system
Published 2019-11-01Get full text
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113
Wavelet-based forecasting of ARIMA time series - an empirical comparison of different methods
Published 2014-08-01“…By means of wavelet transform, an ARIMA time series can be split into different frequency components. …”
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114
Research on digital twin modeling method for combustion process based on model reduction
Published 2025-01-01“…The average absolute error of the reconstructed temperature fields from three methods under different operating conditions is then compared. …”
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115
Effects of different cooking methods and soil environment on the nutrition of Dioscorea opposita Thunb
Published 2025-07-01Get full text
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116
Climate governance action and corporate environmental performance: evidence from climate resilient city construction
Published 2025-08-01Subjects: Get full text
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117
Methods for Adaptive Transformation of Content in Hypertext Format on Corporate TV and Information Kiosks of Educational Institutions
Published 2024-07-01“…In system engineering, the main emphasis (and, as a result, the key task) is on the absence of duplication of content for different types of output screens (including interactive touchscreen kiosks), which is especially important because the implemented system will be built on free, open-source technologies and integrated into the current university website, which no other proprietary Digital Signage software system can offer.Materials and methods: the study uses different methods of transformation and output of content, but adaptation methods based on cascading style sheets (CSS) are mainly used. …”
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118
Comparisons Between Quantitative FMECA Methods: A Case Study on Power Transformer Risk Assessments
Published 2025-06-01“…This fact motivated us to introduce an alternative approach for comparing different FMECA methods based on agreement coefficients, enabling a statistical comparison between rankings generated by independent raters. …”
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119
Forecasting Limits of Feasible Organization Growth by Using Key Predictors of Organizational Transformation
Published 2024-05-01“…The principle distinguishing feature of this methodological approach is the use of indicators defined by the author as key predictors of organizational transformation. This set of indicators was identified by the author through results of earlier statistical research of transformation laws of organization production structure in different sectors of economy. …”
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120