Results 31 to 40 of about 325,444 (301)
IEEE Access, 2020 With the rapid development of 5G technology, the scales and dimensions of the data that are processed by Wireless Multimedia Sensor Network (WMSN) applications will be larger than ever before.
Chenkai Xiao, Wenhao Shao, Ruliang Xiao
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A Short Review on Minimum Description Length: An Application to Dimension Reduction in PCA
Entropy, 2022 The minimun description length (MDL) is a powerful criterion for model selection that is gaining increasing interest from both theorists and practicioners.
Vittoria Bruni +2 more
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Multiple phenotype association tests based on sliced inverse regression
BMC BioinformaticsBackground Joint analysis of multiple phenotypes in studies of biological systems such as Genome-Wide Association Studies is critical to revealing the functional interactions between various traits and genetic variants, but growth of data in ...
Wenyuan Sun +3 more
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Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction [PDF]
Hydrology and Earth System Sciences, 2015 This study investigates the effectiveness of a sensitivity-informed method for multi-objective operation of reservoir systems, which uses global sensitivity analysis as a screening tool to reduce computational demands.
J. Chu, C. Zhang, G. Fu, Y. Li, H. Zhou
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
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Dimension reduction techniques in track geometry quality analysis and safety
, 2021 Attoh-Okine, Nii O.Federal Railroad Administration (FRA) annual safety data has consistently shown that 30-40% of train accidents are track-related.
Lasisi, Ahmed
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Cauchy-Lanczos Algorithm for Effective Dimension Reduction
IEEE AccessThe aim of dimension reduction techniques is to eliminate unnecessary information from extensive datasets, thereby enhancing the effectiveness of data analysis.
Xuansheng Wang +2 more
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Improving Wind Power Forecasts: Combination through Multivariate Dimension Reduction Techniques
Energies, 2021 Wind energy and wind power forecast errors have a direct impact on operational decision problems involved in the integration of this form of energy into the electricity system.
Marta Poncela-Blanco, Pilar Poncela
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
Dimension reduction using global and local pattern information-based maximum margin criterion
, 2016 Dimension reduction is an important research area in pattern recognition when dealing with high-dimensional data. In this paper, a novel supervised dimension reduction approach is introduced for classification. Advantages of using not only global pattern
Sakarya, Ufuk
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