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   Articles with "data preprocessing" as a keyword



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Analysis of NMR Metabolomics Data.

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recommendations! Published in 2020 at "Methods in molecular biology"

DOI: 10.1007/978-1-0716-0239-3_5

Abstract: In this chapter, we summarize data preprocessing and data analysis strategies used for analysis of NMR data for metabolomics studies. Metabolomics consists of the analysis of the low molecular weight compounds in cells, tissues, or… read more here.

Keywords: information; analysis; data preprocessing; analysis nmr ... See more keywords

MCEE: a data preprocessing approach for metabolic confounding effect elimination

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recommendations! Published in 2018 at "Analytical and Bioanalytical Chemistry"

DOI: 10.1007/s00216-018-0947-4

Abstract: AbstractIt is well recognized that physiological and environmental factors such as race, age, gender, and diurnal cycles often have a definite influence on metabolic results that statistically manifests as confounding variables. Currently, removal or controlling… read more here.

Keywords: confounding effect; effect elimination; metabolic confounding; data preprocessing ... See more keywords

A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization

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recommendations! Published in 2018 at "Applied Energy"

DOI: 10.1016/j.apenergy.2018.09.012

Abstract: Abstract Wind speed forecasting is an important task in large-scale wind power integration that can eliminate the harmful influence caused by its inherent intermittence and volatility. To achieve high-precision wind speed forecasting, hybrid systems that… read more here.

Keywords: system; data preprocessing; wind speed; speed forecasting ... See more keywords

Influence of data preprocessing on neural network performance for reproducing CFD simulations of non-isothermal indoor airflow distribution

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recommendations! Published in 2021 at "Energy and Buildings"

DOI: 10.1016/j.enbuild.2020.110525

Abstract: Abstract The indoor environment is important to the daily lives of humans. Fast and accurate prediction of indoor environments is desirable with regard to practical applications, such as coupled simulation, inverse design, and system control.… read more here.

Keywords: neural network; indoor; data preprocessing; prediction ... See more keywords
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A fusion data preprocessing method and its application in complex industrial power consumption prediction

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recommendations! Published in 2021 at "Mechatronics"

DOI: 10.1016/j.mechatronics.2021.102520

Abstract: Abstract Data-driven prediction methods often encounter problems in industrial applications due to noise, data redundancy, and insufficient labeled data. Preprocessing the data is required to improve prediction accuracy. At present, most data preprocessing methods are… read more here.

Keywords: consumption prediction; power consumption; fusion data; data preprocessing ... See more keywords

A survey on data preprocessing for data stream mining: Current status and future directions

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.01.078

Abstract: Data preprocessing and reduction have become essential techniques in current knowledge discovery scenarios, dominated by increasingly large datasets. These methods aim at reducing the complexity inherent to real-world datasets, so that they can be easily… read more here.

Keywords: data preprocessing; mining; survey data; data stream ... See more keywords

MZmine 2 Data-Preprocessing To Enhance Molecular Networking Reliability.

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recommendations! Published in 2017 at "Analytical chemistry"

DOI: 10.1021/acs.analchem.7b01563

Abstract: Molecular networking is becoming more and more popular into the metabolomic community to organize tandem mass spectrometry (MS2) data. Even though this approach allows the treatment and comparison of large data sets, several drawbacks related… read more here.

Keywords: mzmine data; data preprocessing; networking; molecular networking ... See more keywords

Best practices for developing microbiome-based disease diagnostic classifiers through machine learning

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recommendations! Published in 2025 at "Gut Microbes"

DOI: 10.1080/19490976.2025.2489074

Abstract: ABSTRACT The human gut microbiome, crucial in various diseases, can be utilized to develop diagnostic models through machine learning (ML). The specific tools and parameters used in model construction such as data preprocessing, batch effect… read more here.

Keywords: disease; data preprocessing; microbiome; machine ... See more keywords

SysML: adaptive recommendation system for heterogeneous biomedical data preprocessing and modeling workflows

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recommendations! Published in 2025 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbaf558

Abstract: Abstract The rapid growth of high-dimensional omics datasets in biomedical research has created an urgent need for computational frameworks that are both robust and adaptable to diverse data complexities. Although a wide range of specialized… read more here.

Keywords: data preprocessing; adaptive recommendation; biomedical data; system heterogeneous ... See more keywords

A Survey of Preprocessing Methods Used for Analysis of Big Data Originated From Smart Grids

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3157941

Abstract: In this paper, a brief survey of data preprocessing methods is presented. Specifically, the data preprocessing methods used in the smart grid (SG) domain are surveyed. Also, with the advent of SG, data collection on… read more here.

Keywords: analysis; survey; preprocessing methods; methods used ... See more keywords

Data Preprocessing Method for the Analysis of Spectral Components in the Spectra of Mixtures.

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recommendations! Published in 2021 at "Applied spectroscopy"

DOI: 10.1177/00037028211042903

Abstract: This paper describes a data preprocessing algorithm that can be used to mitigate the effects of interfering spectral components when the goal is to detect the spectrum of unknown components in a mixture of known… read more here.

Keywords: analysis; method; data preprocessing; known components ... See more keywords