Modeling Transmission Lines With Open Boundaries via Infinite Mapping Layer by Gines Garcia-Contreras, Juan Corcoles, Jorge A. Ruiz-Cruz, Matteo Oldoni, Lorenzo Codecasa, Gian Guido Gentili

“…In this paper we introduce the use of several different Infinite Mapping Layers to model open boundaries in the 2-D Finite Element Method for the computation of transmission line parameters. …”
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Research on the Integration of Sensing and Communication Based on Fractional-Order Fourier Transform by Mingyan Qi, Yuelong Su, Zhaoyi Wang, Kun Lu

“…First, the fractional-order Fourier transform (FRFT) is introduced, and the golden section method, parabolic interpolation, and Brent method are applied to search for the optimal fractional-order domain to accurately estimate the parameters of the linear frequency modulation (LFM) signal. …”
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The Method of Selecting Boiler Houses under Technical Re-Equipment in a Mini-CHP by Myshkina L.S., Frolova Y.A., Ivanova E.M.

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Fourier and Inverse Fourier Transform Model for Delayed Self-interferometry System by Ling Zhang, Weilin Xie, Yuxiang Feng, Zhangweiyi Liu, Haijun Zhou, Yinxia Meng, Yuanshuo Bai, Wei Wei, Yi Dong

“…To precisely study the performance limit caused by laser frequency noise, here we propose and demonstrate a versatile model based on the Fourier and inverse Fourier transform (FIFT) method. This model, capable of estimating the beat note spectra of different delayed self-interferometry (DSI) with laser sources of arbitrary frequency noise properties, allows for accurate evaluations of the noise performance in a variety of interferometry based systems. …”
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Track Detection Algorithm Based on Trace Correlation Using Hough Transform by A. A. Monakov

“…However, the effective practical application of the Hough transform requires a sufficiently long time of measurement. …”
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Do Preparation Techniques Transform the Metabolite Profile of Platelet-Rich Plasma? by Bilge Başak Fidan, Emine Koç, Emine Çiftçi Özotuk, Ozan Kaplan, Mustafa Çelebier, Feza Korkusuz

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Optimization Configuration Method of Energy Storage Considering Photovoltaic Power Consumption and Source-Load Uncertainty by Junjie Qiao, Xiaofang Meng, Weigang Zheng, Pengxue Huang, Tiefeng Xu, Yupeng Xu

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The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

“…This paper introduces a fast image-processing method to visually identify and detect point scatterers in synthetic aperture imagery using the bright feature transform (BFT). …”
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Single image de-raining by multi-scale Fourier Transform network. by Chaobing Zheng, Yao Yao, Wenjian Ying, Shiqian Wu

“…In this paper, we propose a novel approach for single-image de-raining that is guided by Fourier Transform prior knowledge. Our method utilises inherent frequency domain information to efficiently reduce rain streaks and restore image clarity. …”
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COMPARING MORI-TANAKA METHOD AND FIRST-ORDER HOMOGENIZATION SCHEME IN THE VISCOELASTIC MODELING OF UNIDIRECTIONAL FIBROUS COMPOSITES by Soňa Valentová, Michal Šejnoha, Jan Vorel

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Machine learning of automatic hierarchical multi-label classification method for identifying metal failure mechanisms by Ruitong Han, Chang-Bo Liu, Wanting Sun, Shuai Yu, Haoran Zheng, Lin Deng

“…The method combines the advantages of convolutional neural networks (CNN) and Vision Transformers (ViT) to effectively realize hierarchical feature extraction and classification of SEM images of fracture morphologies, enabling accurate identification of metal failure mechanisms at different scales. …”
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Transformation of constitutional identity due to contemporary challenges by A. V. Bleshchik, E. G. Kalinina, S. E. Nesmeyanova

“…This article represents an attempt to research the notion of “constitutional identity”, which has recently emerged as a relevant concept in constitutional law, through the prism of its transformation reacting the world’s challenges.The purpose of the research is to confirm or disprove hypothesis that both typical and extraordinary factors may influence differently on the transformation of constitutional identity.The methodology. …”
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Estimating Multipath Component Delays With Transformer Models by Jonathan Ott, Maximilian Stahlke, Tobias Feigl, Christopher Mutschler

“…Our approach outperforms known methods in detection performance and accuracy at different bandwidths. …”
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The System for Transforming the Code of Dataflow Programs into Imperative by Vladimir S. Vasilev, Alexander I. Legalov, Sergey V. Zykov

“…The proposed transformation methods allow generating program code, to which various optimizing transformations can be applied in the future, including parallelization taking into account the target architecture.…”
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E-Participation in the Context of Democracy Concept Transformation by Andrei Vladimirovich Chugunov

“…The paper presents David Held’s democracy models to illustrate the process of democratic evolution across different historical epochs and socio-political conditions. …”
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A deep learning-based hybrid method for PM2.5 prediction in central and western China by Zuhan Liu, Zihai Fang, Yuanhao Hu

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Dual-Ascent-Inspired Transformer for Compressed Sensing by Rui Lin, Yue Shen, Yu Chen

“…To address this limitation, we propose the Dual-Ascent-Inspired Transformer (DAT), a novel architecture that maintains stable performance across different compression ratios with minimal training costs. …”
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FINANCE INNOVATION IN THE PROCESS OF DIGITAL ECONOMY TRANSFORMATION by D. I. Filippov

“…Digital innovation stimulates the development of digital economy and society, provides an opportunity to use new achievements in different fields and causes transformation of economy. …”
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Ecosystem bubbles and their role in banking sector transformation by A. I. Khakirov, A. V. Savtsova, A. A. Petrovskaya

“…Over the past few years, the banking sector of the Russian Federation has gone through two major stages of metamorphosis associated first with the digital transformation of the country’s economy and then with the emergence of financial ecosystems. …”
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Ensemble of Efficient Vision Transformers for Insect Classification by Marius Alexandru Dinca, Dan Popescu, Loretta Ichim, Nicoleta Angelescu

“…Specifically, the ensemble model achieved a test accuracy of 99.87% and an F1 score of 99.82% for the D0 dataset, and an F1 score of 84.25% for IP102, demonstrating the method’s effectiveness for insect pest classification from different datasets. …”
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