On Some Issues of Analyzing Handwriting Objects Submitted for Examination in Electronic Form by V. E. Yaskina, P. I. Lakeev, L. M. Kruglov

“…The authors describe the ways of obtaining such manuscripts and their features determined by the type of the electronic documents submitted for examination. …”
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Impact of ocean stratification characteristics on identifiability of internal wave trails in synthetic aperture radar images by Zhechao YANG, Liqun REN, Changhong ZHI, Yunxiang YOU, Hongwei WANG

“…ObjectivesAiming at the problem of the identifiability of underwater vehicle wave trails in synthetic aperture radar (SAR) images in a density stratified environment, this study establishes a theoretical solution model and quantitative analysis method. …”
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Fault Location Method for Communication Link in Smart Substation Based on Deep Learning by Zhiyong PI, Yi ZHU, Xuan LIAO, Zhenxing LI, Hao FANG, Pei WU

“…Aiming at the problem of low troubleshooting efficiency of communication link faults caused by complex links in smart substation, a deep learning based fault location method for intelligent substation communication link of smart substation is proposed. …”
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FBiLSTM-Attention short-term load forecasting based on fuzzy logic by Yan ZHANG, Zepeng KANG, Xiaozhi GAO, Nan YANG, Zhaolei WANG

“…Secondly, K-Means clustering was used to transform the data of each feature into fuzzy rules and introduce fuzzy logic processing. …”
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Hyperspectral Target Detection Based on Macro–Micro Spectrum Contrastive Learning by Jiacheng Tian, Dunbin Shen, Wenfeng Kong, Min Li, Hongyu Wang, Xiaorui Ma

“…First, to address spectral variation, a multiscale view transformation strategy is proposed to learn intrinsic features by contractive learning between macro and micro spectrum groups. …”
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Research on network traffic prediction based on Bi-GRU model by Xu Haibing, Guo Jiuming

“…At present, there are some problems such as lag and low prediction accuracy when using gated recurrent units(GRU) neural network to predict traffic. …”
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Digital-analog quantum convolutional neural networks for image classification by Anton Simen, Carlos Flores-Garrigos, Narendra N. Hegade, Iraitz Montalban, Yolanda Vives-Gilabert, Eric Michon, Qi Zhang, Enrique Solano, José D. Martín-Guerrero

“…These findings highlight the potential of digital-analog quantum convolutions in extracting complex and meaningful features from images, positioning them as a candidate model for addressing challenging classification problems.…”
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Advantages of the corporate model of the state sector of the economy of Russia by V. V. Kurchenkov, O. S. Makarenko

“…Special features of the formation of the corporate model of the public sector of the Russian economy are identified, by defining its features, principles, advantages and disadvantages of use, including the achievement of the integration effect in the process of interaction of its economic entities. …”
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Pharmacoeconomic aspects of COVID-19 treatment by I. V. Rogova, E. A. Zhidkova, I. A. Popova, A. V. Zaborovskiy, K. G. Gurevich

“…The current clinical trials for COVID-19, the main directions, problems and challenges facing the healthcare system are discussed in detail. …”
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Photovoltaic Short-Term Output Power Forecast Model Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise–Kernel Principal Component Analysis–Long Sh... by Lan Cao, Haoyu Yang, Chenggong Zhou, Shaochi Wang, Yingang Shen, Binxia Yuan

“…LSTM performs dynamic time modeling of the multivariate feature sequences to predict the output PV power. …”
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Diversity of Endolysin Domain Architectures in Bacteriophages Infecting Bacilli by Olga N. Koposova, Olesya A. Kazantseva, Andrey M. Shadrin

“…The increasing number of antibiotic-resistant bacterial pathogens is a serious problem in medicine. Endolysins are bacteriolytic enzymes of bacteriophages, and a promising group of enzymes with antibacterial properties. …”
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Manufacture of consumable patterns using additive sheet lamination technology by N. K. Tolochko, P. V. Avramenko, V. B. Kravtsov, A. M. Khartanovich, D. I. Kopchik

“…The problems of implementing this technology related to the formation of a stepped relief of the surfaces of the mold cavity are discussed. …”
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Images and words with a background story. A few critical remarks about the Polish translation of the graphic novel "Kinderland" by Katarzyna Barbara Tymoszuk

“…Later in the article, translation problems will be presented, both in the visual and linguistic layers of selected fragments of the comic. …”
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Russian and foreign practice of artificial intelligence in banking and its significance for business processes by E. A. Zolotova, E. Yu. Kalashnikova, O. N. Chuvilova, S. M. Grishanov

“…The research is devoted to the study of the features and possibilities artificial intelligence in banking, substantiating its importance for the business processes of modern commercial banks. …”
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RESTORATION-BASED EDUCATION OR PRACTICAL TRAINING IN ECOLOGICAL RESTORATION?: APPROACH FROM AN EXPERIENCE IN A DESERTIFIED SOUTH AMERICAN REGION by Daniel R. Pérez, Julieta Farina

“…Contents related to historical environmental problems, and marked differences in priority approaches along time in four groups of residents were outstanding features of the educational process. …”
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Ultrastructural analysis of changes in myocardial blood microvessels in severe burn shock by S. V. Savchenko, N. G. Oshchepkova, N. P. Bgatova, Yu. S. Taskaeva, E. V. Kuznetsov, V. P. Novoselov, A. Yu. Letyagin

“…Burn injury is an important medical problem, as it is accompanied by high mortality rates in burn shock. …”
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Application of Split-frequency AVO Technology in the Evaluation of Middle-depth Thin Reservoirs in the Xihu Depression by Yangsen LI, Wei WANG, Bingying LI, Yunxin MAO, Xiaohui LIU

“…To address the complex thin layer simulation problem, this study uses the reflectivity method to conduct AVO forward simulations of thin reservoirs, and finds that the AVO response of the thin layer has an obvious “V” feature at the far offset owing to the tuning effect. …”
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Deep Learning-Based Layout Analysis Method for Complex Layout Image Elements by Yunfei Zhong, Yumei Pu, Xiaoxuan Li, Wenxuan Zhou, Hongjian He, Yuyang Chen, Lang Zhong, Danfei Liu

“…To improve the effect of multi-scale semantic feature extraction, the null rate of ASPP is fine-tuned, and the model is trained by self-constructed movie poster dataset. …”
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Fault location scheme of HVDC converter based on fault loop analysis by Dalin Mu, Guo Lei, Tingwei Xu, Haiqiang Zhang, Xiaopeng Li, Sheng Lin

“…Based on this, a location criterion based on the integral feature of electrical quantity is designed to identify the fault positions in the converter area. …”
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Intelligent fault diagnosis of rolling bearing based on time–frequency processing and DLKA-YOLO by Zhigang Chen, Huaibin Zhang, Zichun Tao, Yanxue Wang

“…It enhances the network’s recognition ability of the fault features. An intelligent diagnostic model for bearing faults was constructed. …”
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