Comparison of the results obtained by Iman transform with Laplace transform by NIHAL OZDOGAN

“…Applications of these two transforms show that these integral transform methods are closely related to each other.…”
Get full text

Comparison of noise estimation methods used in denoising 99mTc-sestamibi parathyroid images using wavelet transform by Anil Pandey, Param Sharma, Akshima Sharma, Chandra Bal, Rakesh Kumar

“…The image decomposition and reconstruction method discrete wavelet transform, wavelet filter db4, shrinkage method hard, and thresholding policy universal were used. …”
Get full text

A Method of Transformer Fault Diagnosis Based onImproved BP Neural Network by GUO Lin, TANG Jing, TANG Lizhe, ZHAN Yanhao, LI Fei

“…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. …”
Get full text

An Optimised Method for Fetching and Transforming Survey Data based on SQL and R Programming Language by Hasan et al.

“…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. …”
Get full text

Improved Patch-Mix Transformer and Contrastive Learning Method for Sound Classification in Noisy Environments by Xu Chen, Mei Wang, Ruixiang Kan, Hongbing Qiu

“…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. …”
Get full text

Research on Medium- and Long-Term Hydropower Generation Forecasting Method Based on LSTM and Transformer by Guoyong Zhang, Haochuan Li, Lingli Wang, Weiying Wang, Jun Guo, Hui Qin, Xiu Ni

“…This study proposes a hydropower generation forecasting method based on Transformer and SE-Attention for different provinces. …”
Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

The Effect of Various Text Representation Methods for Sentiment Analysis on Movie Review Data with Different Machine Learning Methods by Veysel Göç, Muhammet Sinan Başarslan

“…In this study, we explore the potential of machine learning (ML) models after different text representation methods on the balanced IMDB dataset, which is widely regarded as a gold standard in sentiment analysis, one of the Natural Language processing (NLP) tasks. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text