SA-UMamba: Spatial attention convolutional neural networks for medical image segmentation. by Lei Liu, Zhao Huang, Shuai Wang, Jun Wang, Baosen Liu

“…Most recent medical image segmentation methods are based on a convolutional neural network (CNN) or Transformer model. …”
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Use of Neuro-Net Modeling for Forecasting Key Finance Figures at Trade Enterprises by A. R. Baghirzade

“…In response a series of neuro-net models were developed on the basis of Deductor Studio Lite 5.1 with method of sliding window, including bayes ensemble of five multilayer perceptrons of different architecture. …”
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A Novel Toolbox for Generating Realistic Biological Cell Geometries for Electromagnetic Microdosimetry by Mehrdad Saviz, A.H. Buchali Safiee, Elham Sharifi

“…We have considered four different methods of creating objects: Generalized Rotation, Super-Formula, 3D reconstruction of 2D parallel cross-sections and branching models. …”
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Evaluating text representations for unsupervised legal semantic textual similarity in Brazilian Portuguese by Daniel da Silva Junior, Daniel de Oliveira, Aline Paes

“…Another investigation shows that text characteristics directly impact the performance of Transformer-based models with different attention mechanisms. …”
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CONTACT PROBLEM FOR A TWO-LAYERED CYLINDER by D. A. Pozharskii, N. B. Zolotov, I. Ye. Semenov, E. D. Pozharskaya, M. I. Chebakov

“…By using a Fourier integral transformation, the problem is reduced to an integral equation with respect to the unknown contact pressure.Materials and Methods. …”
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The J-PLUS collaboration. Additive versus multiplicative systematics in surveys of the large scale structure of the Universe by Carlos Hernández-Monteagudo, G. Aricò, J. Chaves-Montero, L. R. Abramo, P. Arnalte-Mur, A. Hernán-Caballero, Francisco José Galindo-Guil, C. López-Sanjuan, V. Marra, R. von Marttens, E. Tempel, J. Cenarro, D. Cristóbal-Hornillos, A. Marín-Franch, M. Moles, J. Varela, H. Vázquez Ramió, J. Alcaniz, R. Dupke, A. Ederoclite, L. Sodré Jr., R. E. Angulo

“…In simpler scenarios where only an additive or multiplicative imprint on observations is considered, our hybrid method does not lie far behind the corresponding simplified, additive/multiplicative methods. …”
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SOME ASPECTS REGARDING THE GENETIC AND BIOTECHNOLOGICAL PROGRESS OF THE HELIANTHUS ANNUUS L. by Elena BONCIU, Olimpia PANDIA, Aurel Liviu OLARU, Ion SARACIN, Elena ROSCULETE

“…The two methods of the vitrocultivated sunflower regeneration are organogenesis and embryogenesis, the difference between them being given by the different number of cells from which the neoplants are formed. …”
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Screening of Germplasm Resources with Low-Phosphorus Tolerance During the Seedling Stage of Rice by Mengru Zhang, Ye Wang, Zexin Qi, Qiang Zhang, Huan Wang, Chenglong Guan, Wenzheng Sun, Fenglou Ling, Zhian Zhang, Chen Xu

“…The relevant indicators and low-phosphorus resistance characteristics of different rice varieties were comprehensively evaluated using principal component analysis, correlation analysis, membership function, and cluster analysis methods. …”
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Cybersecurity of smart grids: Comparison of machine learning approaches training for anomaly detection by S. V. Kochergin, S. V. Artemova, A. A. Bakaev, E. S. Mityakov, Zh. G. Vegera, E. A. Maksimova

“…The purpose of this work is to conduct research and analysis into the effectiveness of different machine-learning methods for identifying anomalies in decentralized smart networks, including cyberattacks and emergency modes, as well as to develop recommendations on the optimal combination of these methods for ensuring effective cybersecurity under conditions of changing electrical loads.Methods. …”
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Analysis of the influence of selected audio pre-processing stages on accuracy of speaker language recognition by Олеся Барковська, Антон Гаврашенко

“…Taking into account the growing demand for accuracy and efficiency of audio information classification methods, evaluation and comparison of different audio pre-processing methods becomes important part of determining optimal solutions. …”
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A neural network-based model for cultivating applied talents in the context of industry-education integration by Lei Tong, Jingjing Zhang, Lixiao Yue, Li Chen, Mengxiang Wang

“…The study evaluates different teaching methods based on academic performance, practical skills, innovation, and professional competency alignment. …”
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Optimizing Location of Car-Sharing Stations Based on Potential Travel Demand and Present Operation Characteristics: The Case of Chengdu by Yu Cheng, Xu Chen, Xiaohua Ding, Linting Zeng

“…We try to find a model to estimate a potential travel demand value for each small grid with three data sources: order data, population data, and Point of Interest (POI) data. This problem is transformed into a binary form and five different methods, Logistic Regression, Logistic Regression with LASSO, Naive Bayes, Linear Discriminant Analysis, and Quadratic Discriminant Analysis, are implemented. …”
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Unified Description of the Mechanical Properties of Typical Marine Soil and Its Application by Yongqiang Li, Gang Wang, Liping Jing, Lei Zhang, Xinjun Cheng

“…This model can describe the unified behaviour of unsaturated soil and saturated soil using independent state variables and can uniquely describe the multiple mechanical properties of soils under general stress states, without changing the parameter values using the transform stress method. An effective stress-based, fully coupled, explicit finite element–finite difference method was established based on this model and three-phase field theory. …”
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Re-use of Building Products in the Netherlands by Loriane Icibaci

“…Although in the real world different factors combined influence changes in the housing stock, in this research, the method to analyze trends in the housing stock behavior explored the evolution of different characteristics in the stock through binary “increase” or “decrease” trends based on historical data. …”
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Research on emotion recognition using sparse EEG channels and cross-subject modeling based on CNN-KAN-[Formula: see text] model. by Fan Xiong, Mengzhao Fan, Xu Yang, Chenxiao Wang, Jinli Zhou

“…Extensive experiments on the SEED and DEAP datasets demonstrate the proposed method's superior performance in emotion classification tasks. …”
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Pragmatic and Semantic Analysis of Anti-War Protest Utterances (on the Data of Public Opinion Discourse in the Spring of 2022 in Russia) by O. V. Dreifeld

“…We checked up the important role of speech tactics which significantly transform the text of anti-war utterance, such as graphic euphemization, semiotic euphemization, abbreviation, neutralization. …”
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Deep Learning Applications in Medical Image Processing by Ayşe Gül Eker, Nevcihan Duru

“…Our aim is for this study to guide different studies on medical images with deep learning methods and serve as a basic resource in this field.…”
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Overview of the identification of traffic accident-prone locations driven by big data by Chunjiao Dong, Naixin Chang

“…This paper first systematically compares the research in Chinese and foreign literature, and proposes three types of identification indicators, namely absolute, relative and comprehensive, according to different reference standards. According to the evaluation indicators and modelling methods, the current status of research and problems in identification theory and methods are systematically summarised in terms of mathematical statistics, cluster analysis, machine learning and conflict technology. …”
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RELATIONSHIP BETWEEN THE PALEOZOIC AND CENOSIOIC FAULTING ENSEMBLES IN THE WESTERN PART OF THE ALTAI-SAYAN FOLDED AREA by I. S. Novikov, I. D. Zolnikov, N. V. Glushkova, D. A. Danilson, K. K. Kolesov

“…The geological structure of the Altai-Sayan folded area was mainly formed during the Paleozoic and transformed during the Cenozoic activation. Geoinformation methods and technologies were used to compare between the Paleozoic and Cenozoic fault networks. …”
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ON THE SPECIFICS OF TEACHING, SCHOOLS AND INTELLECTUAL CENTERS OF PALESTINE OF LATE ANTIQUITY by Zhanna M. Sukhova, Irina Yu. Vashcheva

“…The people of Palestine could choose different methods and teaching styles. The popularity of rhetorical schools in Palestine was driven by several factors: the goal of the student was to acquire various skills and abilities that could be useful in a time of change; the general cultural reason – the practice of oral instruction was applied in Hellenistic, Greco-Roman education, and in rabbinic scholarly circles; and in the era of Christological disputes and the spread of different religious teachings, an important skill was the ability to speak in public, deliver speeches, and preach. …”
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