Analyzing Crash Severity: Human Injury Severity Prediction Method Based on Transformer Model by Yalan Jiang, Xianguo Qu, Weiwei Zhang, Wenfeng Guo, Jiejie Xu, Wangpengfei Yu, Yang Chen

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Transformer Failure Rate Model Based on DDgPCE Method and Oil Chromatography Datadd by CHEN Li juan, WU Jian jun, WANG Gang, DAI Zi kuo, LIU Zhen dong, TAN Yu hua, ZHOU Yul ong

“…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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DDoS-MSCT: A DDoS Attack Detection Method Based on Multiscale Convolution and Transformer by Bangli Wang, Yuxuan Jiang, You Liao, Zhen Li

“…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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A novel method for power transformer fault diagnosis considering imbalanced data samples by Jun Chen, Yong Wang, Lingming Kong, Yilong Chen, Mianzhi Chen, Qian Cai, Gehao Sheng

“…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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Impedance Spectrum Measurement and Fault Detection for XLPE Coaxial Cables by LIU Chunqi, LI Shufeng, HUANG Yu, CHEN Dongsheng

“…The limitations of the existing fault diagnosis methods are analyzed, and a new method is proposed to realize cable fault detection by doing an integral transformation on the phase difference. …”
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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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Evidence conflict measurement method based on Pignistic probability transformation and singular value decomposition by Xinglin GUO, Zhenxiao SUN, Yuyao ZHOU, Lianzhi QI, Yi ZHANG

“…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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Traffic concealed data detection method based on contrastive learning and pre-trained Transformer by HE Shuai, ZHANG Jingchao, XU Di, JIANG Shuai, GUO Xiaowei, FU Cai

“…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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The Transformation of Qur'an Literacy Through the Tahfidz Method: An Experimental Study on Elementary School Students by Tri Yugo, Dedih Surana, Giantomi Muhammad, Muhamad Imam Pamungkas

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A robust method for calculating the vertical derivative of potential fields based on Hilbert transforms by Xin’gang Luo, Shengrong Liu, Xiaoping Tang

“…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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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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A Novel Approach to Method for the Detection of Optic Disc Location in Retinal Images using Image Processing Techniques by Kemal Adem, Mahmut Hekım, Onur Comert, Selim Demır

“…As a result of the comparison of the findings of these three experiments, the Circular Hough Transform method applied with HSV color space is was found to be more successful by 99.16% accuracy, and therefore it is proposed as a viable method for the detection of optic disc.…”
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WaViT-CDC: Wavelet Vision Transformer With Central Difference Convolutions for Spatial-Frequency Deepfake Detection by Nour Eldin Alaa Badr, Jean-Christophe Nebel, Darrel Greenhill, Xing Liang

“…Unlike previous methods, this approach applies the Discrete Wavelet Transform for multi-level frequency decomposition and Central Difference Convolution to capture local fine-grained discrepancies and focus on texture variances, while also incorporating Vision Transformers for global contextual understanding. …”
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Features of the Psychological Health of Teachers of Different Levels of Professional Skill in the Context of Digital Transformation of the Educational Process by D.R. Merzlyakova

“… The article presents the results of an empirical study of the characteristics of psychological health and professional burnout of subject teachers of educational organizations with different qualification categories. The specific of the occurrence of professional “burnout” in the context of digital transformation of the educational process is considered. …”
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Non-canonical activity of retinoic acid in relation to the activation of protein kinases in transformed cells of different origin by A. D. Enikeev, A. V. Komelkov, I. B. Zborovskaya, S. A. Galetsky, G. O. Skryabin, E. M. Tchevkina

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A Low-Frequency Oscillation Identification Method for Power System Based on Adaptive Generalized S-Transform with Bat Algorithm by Miao Yu, Jingjing Wei, Shuoshuo Tian, Jianqun Sun, Yixiao Wu, Shouzhi Zhang, Jingxuan Hu

“…To address matter that the traditional S-transform time-frequency window function has a fixed scale and cannot be applied to the specific local characteristics of different signals, an adaptive generalized S-transform algorithm based on a bat algorithm is proposed in this paper. …”
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A Novel Noise-Insensitive Chromatic Dispersion Estimation Method Based on Fractional Fourier Transform of LFM Signals by Wanli Wang, Yaojun Qiao, Aiying Yang, Peng Guo

“…We propose a novel chromatic dispersion (CD) estimation method by fractional Fourier transformation of linear-frequency modulation (LFM) signals. …”
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A Dedispersion Transform Method for Extracting the Normal Modes of a Shallow Water Acoustic Signal in the Pekeris Waveguide by Guang-Bing YANG, Lian-Gang LÜ, Da-Zhi GAO, Ying JIANG, Hong-Ning LIU

“…This paper introduces a normal mode extraction method based on a dedispersion transform (DDT) to solve this problem. …”
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The ensemble transform Schmidt–Kalman filter: A novel method to compensate for observation uncertainty due to unresolved scales by Zackary Bell, Sarah L. Dance, Joanne A. Waller

“…In this simple system, our novel method performs similarly to another method of compensating for uncertainty due to unresolved scales. …”
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