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Entrepreneurial Intention: Categorization, Classification of Constructs and Proposition of a Model
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On chiral differential operators over homogeneous spaces
Published 2001-01-01“…We give a classification and construction of chiral algebras of differential operators over semisimple algebraic groups G and over homogeneous spaces G/N and G/P where N is a nilpotent and P a parabolic subgroup.…”
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Development levels for time planning model ofroad constru ction at design stages
Published 2024-01-01“…The attention to the role of standardization and classification of construction information (CSI) for coding elements of the digital information model (DIM) at the stages of organizational design and calendar planning is drawn. …”
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Formation of a dense cloud of points and its processing when creating a digital model of the terrain
Published 2024-11-01“…In the research process, a dense cloud of points created during 3D scanning of the territory of the botanical garden of NUBiP of Ukraine was used, followed by classification and construction of digital relief models in various software tools. …”
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Organization of Production and Business Processes in Value Chains Based on Applied Scenarios for the Digitalization of Enterprises
Published 2023-07-01“…The developed methods of identification, classification and construction of production and business processes based on a scenario approach to the use of digital technologies and role modeling in the processes of interaction of participants in the value chain are aimed at improving the efficiency of creating and using business models of enterprises digital transformation.…”
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Phenotypic Diversity Analysis in the Sect. <i>Tuberculate</i> (<i>Camellia</i> L.) Population, an Endemic Taxon in China
Published 2024-11-01“…This study will provide important references for interspecific identification, classification system construction, genetic mechanism, germplasm resource conservation, and exploitation of plants in sect. …”
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Effects of individuality, education, and image on visual attention: Analyzing eye-tracking data using machine learning
Published 2019-07-01“…Machine learning, particularly classification algorithms, constructs mathematical models from labeled data that can predict labels for new data. …”
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University Media Content Detection and Classification Based on Information Fusion Algorithm
Published 2022-01-01“…A benchmark model for media content detection and classification is constructed. Through the model test, it is found that the F1 value of the model is more than 70%, the check rate is more than 80%, and the recall rate is more than 50%. …”
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Text classification model of rare earths patents based on ERNE-CAB-CNN
Published 2025-01-01“…Combined with ERNIE and Convolutional Neural Network (CNN), an innovative model ERNE-CAB-CNN for rare earth patent text classification is constructed. The model uses ERNIE to vectorize the patent text, and obtains the vector representation with richer semantic information. …”
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A Bayesian Inference‐Based Empirical Model for Scintillation Indices for High‐Latitude
Published 2021-06-01“…Following a brief assessment on the independence of the variables (predictors), prior probabilities of occurrence in the case of a multinomial classification are constructed. Posterior‐probabilities are then deduced for any arbitrary set of predictors. …”
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Corpus-based measures discriminate inflection and derivation cross-linguistically
Published 2024-12-01“…Based on a sample of 26 languages, we find that we can reconstruct 89±1% of the classification of constructions into inflection and derivation in UniMorph using our 4 measures, providing large-scale cross-linguistic evidence that the concepts of inflection and derivation are associated with measurable signatures in terms of form and distribution that behave consistently across a variety of languages. …”
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Employment risks under the conditions of the COVID-19 pandemic and their impact on changes in economic behaviour
Published 2023-06-01“…Findings: The authors’ classification was constructed according to the risks of the pandemic impact, considering the specifics of professional duties, and with the division of workers into three groups: (1) ‘frontline’ workers; (2) employees who must be personally present at workplaces, but with a limited circle of contacts; (3) employees whose employment allows remote work. …”
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Identification of novel serum lipid metabolism potential markers and metabolic pathways for oral cancer: a population-based study
Published 2025-01-01“…The disease classification model, constructed using a KNN algorithm with 13 metabolites selected through LASSO screening, achieved the best performance, with an AUC of 0.978 (0.955-1.000). …”
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Semantic Representation of Social and Role Identification in Subject Self-Organization of Personality
Published 2020-04-01“…Kelly and expert assessment in semantic analysis and classification of constructs served as a method of collecting empirical data. …”
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Analysis of Single-Pilot Intention Modeling in Commercial Aviation
Published 2023-01-01“…Various operation items contribute differently to the classification. To construct the interaction dataset and encode it into time series features, a single-pilot experiment is specifically performed, wherein the experience of an expert is summarized into single-pilot intent labels. …”
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Statistically based algorithm for differential diagnosis of arthropathies based on quantitative osteoscintigraphy
Published 2021-07-01“…The CHAID algorithm was used for classification tree constructing.Results. The study included 266 patients aged 46.6±14.3 years, 134 men (50.4%). …”
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Reference levels of mean and peak anaerobic power for male and female long-track speed skaters
Published 2024-10-01“…The 7-stage classification system constructed on the basis of the obtained results enables the assessment of relative MP and PP in Wingate tests, taking into account the age category and gender of the athletes. …”
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An Advanced Deep Learning Model for Identifying Blue Horizontal-branch Stars from LAMOST DR10
Published 2025-01-01“…In stage 2, a binary classification model constructed through the transfer learning method was employed to further refine the candidates, achieving a precision of 98.36% on the test set. …”
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THz image recognition of moldy wheat based on multi-scale context and feature pyramid
Published 2025-06-01“…In addition, a series of comparison experiments and ablation experiments show that the classification network constructed in this paper has the best fine-grained classification performance for moldy wheat THz images.…”
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