Evaluation of the Flow Table Method for Analyzing the Rheology of Concrete with Fibers by Dener Altheman, Adriana Aparecida Ambrosio de Souza, João Claudio Bassan de Moraes

“…This work, which investigated three different types of fibers in three different dosages, shows that the flow table method can be better used to measure the effect of different levels and types of structural fibers in concrete. …”
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METHODICAL ASPECTS OF SYSTEM MAXIMA IN LEARNING PROCESS OF OPERATIONS RESEARCH by Taras Kobylnyk, Ulyana Kogut

“…This article analyzes the experimental study of effectiveness of using the system Maxima methods in learning of operations research of bachelors of computer science. …”
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Optimized decomposition and identification method for multiple power quality disturbances by Wang Zhaoqing, Chang Yanzhao, Chen Jianlei, Bao Weiyu

“…Initially, an improved variational mode decomposition (IVMD) method is presented, leveraging an energy ratio criterion for precise decomposition of concurrent PQDs. …”
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Research on Equivalent Method of Bench Fatigue Tests for Main Reducers by Zou Xihong, Zhou Qing, Yuan Dongmei, Xiao Yukai, Zhou Yuting, He Ping

“…In order to verify the effectiveness of the equivalent method, the finite element model of the main reducer is established and the static strength analysis is carried out to verify the mesh independence and model validity. …”
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An Antinoise Fault Diagnosis Method Based on Multiscale 1DCNN by Jie Cao, Zhidong He, Jinhua Wang, Ping Yu

“…Experimental results illustrate that the improved methods proposed in this paper effectively enhance the diagnostic performance of MSK-1DCNN under intense noise, and the diagnostic accuracy is higher than that of other comparison algorithms.…”
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Combined Method for Informative Feature Selection for Speech Pathology Detection by D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov

“…This improves the accuracy of the spectrum estimation and reduces the spectral leakage effect. Using LASSO in conjunction with BSS allowed us to improve the classification efficiency using a smaller number of features as compared to using the LASSO method alone.…”
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Application of optical flow method in metro train speed measurement by LYU Hongqiang, HUANG Tao, NIE Xingjia, CHEN Keyu, CAI Zhengkai, SHAN Qi

“…The traditional subway speed measurement methods have some defects. In this paper, a new method of subway speed measurement by using the optical flow method in image processing was explored, and a fast optical flow calculation method to meet the requirements of real-time and accuracy of subway speed measurement was put forward. …”
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Study on the Evaluation Method of Green Construction Based on Ontology and BIM by Zhao Xu, Xuerong Wang, Wentao Zhou, Jingfeng Yuan

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Quantification of Rifaximin in Tablets by Spectrophotometric Method Ecofriendly in Ultraviolet Region by Ana Carolina Kogawa, Hérida Regina Nunes Salgado

“…Rifaximin is an oral nonabsorbable antibiotic that acts locally in the gastrointestinal tract with minimal systemic adverse effects. It does not have spectrophotometric method ecofriendly in the ultraviolet region described in official compendiums and literature. …”
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Contrast-enhanced Ultrasound as a Method of Splenic Injury Assessment by Ugo Giordano, Jakub Kobialka, Joanna Bystron, Anna Dziekiewicz, Justyna Pilch, Karolina Matuszewska, Adrian Bystroń

“…Nevertheless, baseline US’s sensitivity is not sufficient to detect splenic traumatic injuries; hence, a new method was developed involving ultrasound contrast agents (UCAs), called contrast-enhanced ultrasound (CEUS). …”
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Zero-shot Image Classification Method Based on Discriminator Feedback by FAN Yufei, DING Bo, HE Yongjun

“…Zero-shot learning (ZSL) strives to classify unseen categories for which no data is available during training.At present, among generative methods, zero-shot learning based on joint generative model VAEGAN is a research hotspot.On this basis, we propose a zero-shot image classification method based on Discriminator Feedback VAEGAN (DF-VAEGAN).This method introduces a feedback module in the discriminator part, which can improve the overall performance of the model in the training stage.In the feature generation stage, it can be combined with the generator to jointly improve the quality of feature generation.Finally, the classifier is trained through high quality synthetic features to improve classification accuracy.The method also reconstructs attribute features through the decoder and uses a cycle consistency loss to ensure semantic consistency of the generated feature.Experiments on ZSL and generalized zero-shot learning (GZSL) show that our method outperforms existing methods on five classical datasets, effectively enhancing the quality of feature synthesis and reducing the goal of between categories in the zero-shot image classification task.…”
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Helium Speech Recognition Method Based on Spectrogram with Deep Learning by Yonghong Chen, Shibing Zhang, Dongmei Li

“…The simulation results show that the method can effectively recognize helium speech with a recognition rate of 97.89% for isolated words and 95.99% for continuous helium speech.…”
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Named Entity Recognition Method Based on Multi-Feature Fusion by Weidong Huang, Xinhang Yu

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Uncertainty-Based Fusion Method for Structural Modal Parameter Identification by Xiaoteng Liu, Zirui Dong, Hongxia Ji, Zhenjiang Yue, Jie Kang

“…Furthermore, the fusion method demonstrates enhanced identification capabilities, effectively reducing the likelihood of missing structural modes.…”
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Educational Efficacy of the Use of Drama Method in Primary School Teaching by Branka Lepir-Šinik

“…This type of work develops students’ speaking, reading, and creative abilities, and also contributes to fostering a more positive attitude toward teamwork. The effectiveness of the dramatic method was verified through an ex-post-facto study with fifth-grade elementary school students. …”
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Empirical Wavelet Transform Based ECG Signal Filtering Method by S. Elouaham, A. Dliou, W. Jenkal, M. Louzazni, H. Zougagh, S. Dlimi

“…This study introduces the empirical wavelet transform (EWT), a contemporary denoising method. EWT decomposes the signal into frequency components, allowing detailed analysis by constructing a customized wavelet basis. …”
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A New Website Fingerprinting Method for Tor Hidden Service by Zihang Hui, Jiangtao Zhai, Shengxian Wang, Weijie Ji

“…This method not only deals with the homepage, but also considers the features of sub-pages in depth, which can effectively improve the performance of the model in closed-world and open-world scenarios through deep textual and time-series feature learning. …”
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Quadrilateral mesh optimisation method based on swarm intelligence optimisation by Fen Zhang, Jiuyun Tian, Panpan LV, Kaiyun Luo, Yonggu Huang, Shaohui Yang, Fei Deng

“…Results demonstrate that all three algorithms eliminate initial mesh defects, with WPA achieving the highest mesh quality, PSO exhibiting the fastest convergence, and FA performing least effectively. The optimised meshes meet the high-quality standards of the spectral element method, significantly improving simulation stability and computational efficiency, and laying a foundation for the further application of the spectral element method in seismic exploration.…”
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Fault detection method for distribution network based on edge computing by YANG Hao, ZHAO Huan, XUE Rong, YU Yubin, WEI Enwei, HUANG Bing

“…Experimental results show that the distribution network fault detection method based on edge computing can effectively detect different kinds of faults, and the response time is less than 0.005 s, the detection accuracy is more than 95%, which meets the practical application requirements.…”
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Distance Measurement for the Indoor WSN Nodes Using WTR Method by Zheng Zhang, Junxiao Zhu, Jiabiao Ruan, Gangbing Song

“…In this paper, the windowed time reversal (WTR) method for distance measurement between the wireless sensor network (WSN) nodes is proposed based on TR. …”
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