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Research on key technology of vulnerability threat classification
Published 2012-09-01Get full text
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Classification of Rings with Toroidal and Projective Coannihilator Graph
Published 2021-01-01Get full text
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Depth-Based Classification for Distributions with Nonconvex Support
Published 2013-01-01Get full text
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Concept and Classification of Covert Embezzlement of the Property of Another
Published 2021-07-01Get full text
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An Improved Feature Selection Based on Effective Range for Classification
Published 2014-01-01Get full text
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Exploration and practice of data classification and grading based on DSMM
Published 2024-11-01Get full text
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Research on the Classification of Policy Instruments Based on BERT Model
Published 2022-01-01Get full text
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Machine Learning Techniques for Classification of Stress Levels in Traffic
Published 2024-06-01Get full text
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Classification of Colon Cancer Patients Based on the Methylation Patterns of Promoters
Published 2016-06-01Get full text
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Characteristic external genitalia in male neonates with 5α-reductase deficiency
Published 2024-10-01“…The SPL of 5αRD in Quigley classification grade 2 or 3 was significantly shorter than that of other 46,XY DSDs with the equivalent grade.…”
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Flood Period Classification Forecast Based on Information Fusion and Recognition
Published 2023-01-01“…To solve the low simulation accuracy of flood forecast models caused by limited historical flood data in river basins,this paper employs the K-means clustering method to cluster typical floods by taking reservoir A as the research object.Meanwhile,it analyzes hydrological influencing factors such as rainfall intensity,rainfall center,and weather system,calculates various parameters of confluence models through a genetic optimization algorithm,and adopts a rough set method to explore the relationship between influencing factors and flood period confluence patterns.Finally,the flood period classification forecast based on information fusion and recognition is conducted.The results are as follows:① The absolute and relative errors of the four selected typical floods calculated by the classification forecast method are 9.01 m<sup>3</sup>/s and 2.95%,116.46 m<sup>3</sup>/s and 6.78%,30.92 m<sup>3</sup>/s and 17.55%,and 6.12 m<sup>3</sup>/s and 1.86% respectively;② The simulation accuracy of the flood classification forecast model built in this paper is higher than that of the traditional forecast methods,and the determination coefficients of different typical floods are all above 0.8.The results can provide references for the flood period classification and forecast in north China and other regions with less flood data.…”
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Classification and advances in clinical research of artificial colloidal plasma substitutes
Published 2025-01-01Get full text
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An Enhanced Approach Using AGS Network for Skin Cancer Classification
Published 2025-01-01Get full text
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Knee phenotypes distribution according to CPAK classification in Turkish population
Published 2024-11-01“…Objective: This study aimed to investigate the distribution of knee phenotypes based on the CPAK classification in healthy nonarthritic subjects and osteoarthritic patients in Türkiye. …”
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Comprehensive Study on Zero-Shot Text Classification Using Category Mapping
Published 2025-01-01Get full text
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Classification et valeurs thérapeutiques des plantes ornementales du Togo
Published 2013-12-01Get full text
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Application of the New Classification on Patients with a Disorder of Sex Development in Indonesia
Published 2012-01-01Get full text
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