Coherent Point Drift Peak Alignment Algorithms Using Distance and Similarity Measures for Two-Dimensional Gas Chromatography Mass Spectrometry Data.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of chemometrics"
DOI: 10.1002/cem.3236
Abstract: The peak alignment is a vital preprocessing step before downstream analysis, such as biomarker discovery and pathway analysis, for two-dimensional gas chromatography mass spectrometry (2DGCMS)-based metabolomics data. Due to uncontrollable experimental conditions, e.g., the differences… read more here.
Keywords: mass spectrometry; algorithms; peak alignment; distance ... See more keywords
Parallel iterative stabilized finite element algorithms for the Navier–Stokes equations with nonlinear slip boundary conditions
Sign Up to like & getrecommendations! Published in 2020 at "International Journal for Numerical Methods in Fluids"
DOI: 10.1002/fld.4920
Abstract: Based on full domain partition technique, some parallel iterative pressure projection stabilized finite element algorithms for the Navier–Stokes equations with nonlinear slip boundary conditions are designed and analyzed. In these algorithms, the lowest equal‐order P1 − P1… read more here.
Keywords: algorithms navier; finite element; stabilized finite; algorithms ... See more keywords
Variation in cystic fibrosis newborn screening algorithms in the United States
Sign Up to like & getrecommendations! Published in 2022 at "Pediatric Pulmonology"
DOI: 10.1002/ppul.26279
Abstract: Cystic fibrosis (CF) newborn screening (NBS) algorithms in the United States vary by state. Differences in CF NBS algorithms could potentially affect the detection rate of CF newborns and lead to disparities in CF diagnosis… read more here.
Keywords: algorithms; fibrosis newborn; newborn screening; algorithms united ... See more keywords
Algorithms for Accurate Spectral Analysis in the Presence of Arbitrary Noncoherency and Large Distortion
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1007/978-3-319-77718-4_2
Abstract: In spectral analysis, achieving coherent sampling, especially when signals have large distortion, has been a challenge for many years. This paper introduces three algorithms to resolve this issue. In comparison to previous algorithms, and two… read more here.
Keywords: large distortion; accurate spectral; spectral analysis; algorithms ... See more keywords
q-State Space Least Mean Family of Algorithms
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0569-7
Abstract: It is generally known that model-based estimation algorithms (such as Kalman filter and its family) perform better than the non-model-based algorithms [such as least mean square (LMS), recursive least squares] due to extra information available… read more here.
Keywords: state; state space; algorithms; space least ... See more keywords
Two Novel Arctangent Normalized Subband Adaptive Filter Algorithms Against Impulsive Interferences
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0583-9
Abstract: In this paper, two arctangent-based normalized subband adaptive filter (Arc-NSAF) algorithms are proposed, which are derived from two different forms of arctangent cost function and their difference is the order of the arctangent computation and… read more here.
Keywords: algorithms; normalized subband; adaptive filter; subband adaptive ... See more keywords
Approximation and Heuristic Algorithms for Computing Backbones in Asymmetric Ad-hoc Networks
Sign Up to like & getrecommendations! Published in 2017 at "Theory of Computing Systems"
DOI: 10.1007/s00224-017-9836-z
Abstract: We consider the problem of dominating set-based virtual backbone used for routing in asymmetric wireless ad-hoc networks. These networks have non-uniform transmission ranges and are modeled using directed disk graphs. The corresponding graph theoretic problem… read more here.
Keywords: approximation; algorithms; strongly connected; hoc networks ... See more keywords
Two neural-metaheuristic techniques based on vortex search and backtracking search algorithms for predicting the heating load of residential buildings
Sign Up to like & getrecommendations! Published in 2020 at "Engineering with Computers"
DOI: 10.1007/s00366-020-01074-z
Abstract: Analyzing the thermal load is a significant task for energy-efficient buildings. Intelligent models have shown high reliability for predicting the heating load of different buildings. But computational shortcomings like local minima have yet remained a… read more here.
Keywords: search; vortex search; algorithms; heating load ... See more keywords
Investigation on evolutionary algorithms powered by nonrandom processes
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DOI: 10.1007/s00500-015-1689-2
Abstract: Inherent part of evolutionary algorithms that are based on Darwin’s theory of evolution and Mendel’s theory of genetic heritage, are random processes since genetic algorithms and evolutionary strategies are used. In this paper, we present… read more here.
Keywords: algorithms; nonrandom processes; investigation evolutionary; evolutionary algorithms ... See more keywords
Many-objective artificial bee colony algorithm for large-scale software module clustering problem
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DOI: 10.1007/s00500-017-2687-3
Abstract: The meta-heuristic search algorithms have been widely applied to solve the various science and engineering optimization problems. However, the performance of these algorithms is highly sensitive toward the number of objective functions and number of… read more here.
Keywords: bee colony; algorithms; many objective; optimization ... See more keywords
Stability for feedback loops containing complex algorithms
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04851-6
Abstract: With the advent of neural networks, fuzzy logic, genetic algorithms, and other soft computing methodologies, many researchers have demonstrated successful designs for intelligent control strategies that appear to outperform traditional linear feedback controls; however, industry… read more here.
Keywords: cmac; intelligent algorithm; algorithms; stability feedback ... See more keywords