Analysis of NMR Metabolomics Data.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A fusion data preprocessing method and its application in complex industrial power consumption prediction
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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
A Survey of Preprocessing Methods Used for Analysis of Big Data Originated From Smart Grids
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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
Predicting transient diesel engine NOx emissions using time-series data preprocessing with deep-learning models
Sign Up to like & getrecommendations! Published in 2021 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/09544070211005570
Abstract: Deep-learning models were developed and evaluated for predicting the engine-out emission of NOx—one of the main pollutants emitted from diesel engines—under transient conditions, that is, the Worldwide Harmonized Light Vehicles Test Procedure (WLTP). Phenomena of… read more here.
Keywords: learning models; time; deep learning; model ... See more keywords
Data Preprocessing for Evaluation of Recommendation Models in E-Commerce
Sign Up to like & getrecommendations! Published in 2019 at "Data"
DOI: 10.3390/data4010023
Abstract: E-commerce businesses employ recommender models to assist in identifying a personalized set of products for each visitor. To accurately assess the recommendations’ influence on customer clicks and buys, three target areas—customer behavior, data collection, user-interface—will… read more here.
Keywords: evaluation recommendation; preprocessing evaluation; recommendation; recommendation models ... See more keywords