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Modelling and Analysis Library Development for Helicopter Blade and Slender Wings [PDF]
INCAS Bulletin, 2020 In this study, we suggest a framework for optimal design of a composite wing structure with a high aspect ratio at the initial design stage. The optimization framework calculates allowances in the first ply failure, buckling failure and bearing-bypass ...
Sang Ho AHN, Jun Hwan JANG
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SF-CNN: Signal Filtering Convolutional Neural Network for Precipitation Intensity Estimation
Sensors, 2022 Precipitation intensity estimation is a critical issue in the analysis of weather conditions. Most existing approaches focus on building complex models to extract rain streaks.
Chih-Wei Lin +3 more
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Energies, 2022 The precise prediction of coal seam thickness in operating mines is crucial for the construction of transparent mines. Geological borehole data or a small amount of seismic information is frequently used in traditional coal seam thickness prediction ...
Xiaobo Lin +3 more
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Modern Physics Letters A, 1999 Using an octonionic formalism, we introduce a new mechanism for reducing ten space–time dimensions to four without compactification. Applying this mechanism to the free, ten-dimensional, massless (momentum space) Dirac equation results in a particle spectrum consisting of exactly three generations.
Manogue, Corinne A., Dray, Tevian
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Dimensionality reduction methods [PDF]
Advances in Methodology and Statistics, 2005 In case one or more sets of variables are available, the use of dimensional reduction methods could be necessary. In this contest, after a review on the link between the Shrinkage Regression Methods and Dimensional Reduction Methods, authors provide a different multivariate extension of the Garthwaite's PLS approach (1994) where a simple linear ...
D'AMBRA L, AMENTA P, GALLO, Michele
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Dimensionality reduction mappings [PDF]
2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2011 A wealth of powerful dimensionality reduction methods has been established which can be used for data visualization and preprocessing. These are accompanied by formal evaluation schemes, which allow a quantitative evaluation along general principles and which even lead to further visualization schemes based on these objectives.
Bunte, Kerstin +3 more
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Hepatitis C Disease Detection Based on PCA–SVM Model
Hittite Journal of Science and Engineering, 2022 Hepatitis C is a liver disease caused by infection with the hepatitis C virus (HCV), which is transmitted through the blood. The disease can lead to diseases ranging from a mild form to serious lifelong illness.
Serdar Gündoğdu
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Rare desynchronization events in power grids: on data implementation and dimensional reductions
Journal of Physics: Complexity, 2022 We discuss the frequency of desynchronization events in power grids for realistic data input. We focus on the role of time correlations in the fluctuating power production and propose a new method for implementing colored noise that reproduces non ...
Tim Ritmeester, Hildegard Meyer-Ortmanns
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Jambura Journal of Mathematics, 2023 This paper discusses the performance of the K-Nearest Neighbor Algorithm with dimension reduction using Principal Component Analysis (PCA) in the case of diabetes disease classification.
Aldila Dinanti, Joko Purwadi
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Euler Representation-Based Structural Balance Discriminant Projection for Machinery Fault Diagnosis
Machines, 2023 Fault diagnosis methods are usually sensitive to outliers and it is difficult to obtain and balance global and local discriminant information, which leads to poor separation between classes of low-dimensional discriminant features.
Maoyan Zhang +4 more
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