Results 91 to 100 of about 71,463 (232)

Constraint elimination in dynamical systems [PDF]

Large space structures (LSSs) and other dynamical systems of current interest are often extremely complex assemblies of rigid and flexible bodies subjected to kinematical constraints.
Likins, P. W., Singh, R. P.
core   +1 more source

Unraveling the spatial landscape of dystrophinopathies: a transcriptomic approach to Becker and Duchenne muscular dystrophies

The Journal of Pathology, EarlyView.
Abstract Dystrophinopathies are caused by pathogenic variants in the DMD gene, resulting in partial (Becker) or complete loss (Duchenne) of dystrophin. Becker (BMD) and Duchenne muscular dystrophy (DMD) are characterized by progressive muscle wasting, fatty replacement, fibrosis, and loss of function.
Laura GM Heezen, Qirong Mao, Stefan Nicolau, Claudio Novella Rausell, Julia van der Weerd, Jan Kueckelhaus, Rasya Gokul Nath, Jordi Diaz‐ Manera, Hermien E Kan, Erik H Niks, Maaike van Putten, Annemieke Aartsma‐Rus, Kevin M Flanigan, Ahmed Mahfouz, Pietro Spitali   +14 more
wiley   +1 more source

SVD-LSTM-based rainfall threshold prediction for rainfall-induced landslides in Chongqing

Geomatics, Natural Hazards & Risk
Rainfall-induced landslides in Chongqing, a region of significant interest due to its high incidence rate, have traditionally been predicted using empirical rainfall thresholds.
Chao He, Chaofan Wang, Junwen Peng, Wenhui Jiang, Jing Liu   +4 more
doaj   +1 more source

Impact of data assimilation on Arctic sea‐ice thickness variability and its coupling with atmospheric forcing

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie, Yue Ying, Richard Davy, Laurent Bertino   +3 more
wiley   +1 more source

Componentwise Perturbation Analysis of the Singular Value Decomposition of a Matrix

Applied Sciences
A rigorous perturbation analysis is presented for the singular value decomposition (SVD) of a real matrix with full column rank. It is proved that the SVD perturbation problem is well posed only when the singular values are distinct.
Vera Angelova, Petko Petkov
doaj   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

A Privacy-Preserving Data Mining Method Based on Singular Value Decomposition and Independent Component Analysis

Data Science Journal, 2011
Privacy protection is indispensable in data mining, and many privacy-preserving data mining (PPDM) methods have been proposed. One such method is based on singular value decomposition (SVD), which uses SVD to find unimportant information for data mining ...
Guang Li, Yadong Wang
doaj   +1 more source

An Efficient Method for Transient Temperature Calculation in Oil Natural Transformers Based on the Time‐Space Proper Orthogonal Decomposition

High Voltage, EarlyView.
ABSTRACT A reduced‐order model (ROM) for the temperature field based on time‐space proper orthogonal decomposition (POD) is presented to improve the computational efficiency of transient temperature rise in oil‐immersed power transformers with a complete oil natural convection cooling loop.
Haijuan Lan, Wenhu Tang, Zeyi Zhang, Jiahao Gong, Xiongwen Xu, Goran Strbac   +5 more
wiley   +1 more source

Channel estimation method based on singular value decomposition in 3D MIMO-OFDM system

上海师范大学学报. 自然科学版, 2019
The model of 3D multiple input multiple output and orthogonal frequency division multiplexing(MIMO-OFDM) system was introduced,and the channel estimation scheme based on pilot was analyzed.In view of the problem of high complexity of the linear least ...
SHAO Weilu, LI Li, LIU Zhen, TANG Yanzhi
doaj   +1 more source

Regression-aware decompositions

, 2018
Linear least-squares regression with a "design" matrix A approximates a given matrix B via minimization of the spectral- or Frobenius-norm discrepancy ||AX-B|| over every conformingly sized matrix X.
Tygert, Mark
core