Articles with "data pre" as a keyword



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Novel directions in data pre-processing and genome-wide association study (GWAS) methodologies to overcome ongoing challenges

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Published in 2021 at "Informatics in Medicine Unlocked"

DOI: 10.1016/j.imu.2021.100586

Abstract: Abstract A genome-wide association study (GWAS) is a standard population-based technique for identifying the heritable genetic basis of complex diseases by discovering correlations between trait variations and allele frequencies of genetic markers. This article aims… read more here.

Keywords: association; pre processing; gwas methodologies; data pre ... See more keywords
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Using a Hybrid Deep Neural Network for Gas Classification

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Published in 2021 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2020.3038304

Abstract: In terms of electronic nose algorithms, data pre-processing and classifier type are the two main factors affecting gas classification results. In the early stage, data pre-processing mostly takes specific information from gas-reaction waveforms as features… read more here.

Keywords: gas; pre processing; deep neural; classification ... See more keywords
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Deep Learning for Social Media Sentiment Analysis

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Published in 2020 at "Mathematika"

DOI: 10.11113/matematika.v36.n2.1226

Abstract: Social media is used as a tool by many people to express their opinions. Sentiment analysis for social media is very important, as it allows information to be obtained about public opinion on government performance.… read more here.

Keywords: social media; deep learning; data pre; pre processing ... See more keywords
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An Effective Rough Neutrosophic Based Approach for Data Pre-Processing

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Published in 2023 at "TEM Journal"

DOI: 10.18421/tem122-51

Abstract: The core challenge in the process of knowledge discovery is the pre-processing of data. Pre-processing of data involves feature selection due to substantial amount of data and degree of dimension attribute. The concept of attribute… read more here.

Keywords: pre processing; data pre; rough neutrosophic; neutrosophic set ... See more keywords
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Data-driven multi-time-step ahead daily rainfall forecasting using singular spectrum analysis-based data pre-processing

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Published in 2018 at "Journal of Hydroinformatics"

DOI: 10.2166/hydro.2017.029

Abstract: Accurate forecasting of rainfall, especially daily time-step rainfall, remains a challenging task for hydrologists9 invariance with the existence of several deterministic, stochastic and data-driven models. Several researchers have fine-tuned the hydrological models by using pre-processed… read more here.

Keywords: data driven; time; data pre; pre processing ... See more keywords
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EASY-FIA: A Readably Usable Standalone Tool for High-Resolution Mass Spectrometry Metabolomics Data Pre-Processing

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Published in 2022 at "Metabolites"

DOI: 10.3390/metabo13010013

Abstract: Flow injection analysis coupled with high-resolution mass spectrometry (FIA-HRMS) is a fair trade-off between resolution and speed. However, free software available for data pre-processing is few, web-based, and often requires advanced user specialization. These tools… read more here.

Keywords: tool; easy fia; mass spectrometry; data pre ... See more keywords