Results 51 to 60 of about 673,965 (277)
MACROECONOMIC NOISE REMOVAL ALGORITHM (MARINER)
Technological and Economic Development of Economy, 2017 Standard econometric filters fail to extract explicit trend component from macroeconomic data series. Isolated cycles provide no economic interpretation of the extracted component. Adding new data to the sample (filtering) period results in instability of extracted components.
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Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
IEEE Access, 2021 Noise reduction is important for X-ray images because it can reduce radiation exposure to patients. X-ray image noise has a Poisson-Gaussian distribution, and recently, noise analysis and removal in multiscale transformations have been widely implemented.
Sangyoon Lee, Moon Gi Kang
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Instantaneous noise-based logic
, 2010 We show two universal, Boolean, deterministic logic schemes based on binary noise timefunctions that can be realized without time-averaging units. The first scheme is based on a new bipolar random telegraph wave scheme and the second one makes use of the
Khatri, Sunil +2 more
core +1 more source
Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Image Noise Elimination Using Evolutionary Algorithm [PDF]
Engineering and Technology Journal, 2005 Evolutionary algorithms like Genetic Algorithms ( GA ) and Genetic programming ( GP ) are domain - independent problem solving approaches in which computer programs are evolved to solve , or approximately solve , problems .
Matheel Abdulmunim
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Removing the Noise from Chaos Plus Noise [PDF]
, 2001 The problem of extracting a “signal” xn generated by a dynamical system from a time series yn = xn + en, where en is an observational error, is considered. It is shown that consistent signal extraction is impossible when the errors are distributed according to a density with unbounded support, and the underlying dynamical system admits bomoclinic pairs.
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Molecular Oncology, EarlyView.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Nonconvex Low Rank Approximation With Phase Congruency Regularization for Mixed Noise Removal
IEEE Access, 2019 Mixed noise removal from a natural image is a challenging task since the complex noise distribution usually is inestimable. Many noise removal methods based on the low rank approximation have an excellent image denoising performance and are effective for
Luo Xuegang, Lv Junrui, Wang Juan
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