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Published in 2017 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2017.09.021
Abstract: Abstract Data-driven modeling and applications in plant-wide processes have recently caught much attention in both academy and industry. This paper provides a systematic review on data-driven modeling and monitoring for plant-wide processes. First, methodologies of…
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Keywords:
review data;
driven modeling;
plant;
data driven ... See more keywords
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Published in 2017 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2017.02.016
Abstract: Abstract In this paper the application of machine learning techniques for the development of constitutive material models is being investigated. A flow stress model, for strain rates ranging from 10 −4 to 10 12 (quasi-static…
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Keywords:
modeling plastic;
driven modeling;
data driven;
model ... See more keywords
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Published in 2019 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2019.109405
Abstract: Abstract Data-driven approach is essential to the modeling of building thermal dynamics. It has been widely applied in building operation optimization, energy management, system performance evaluation, and so on. This present paper describes common concepts…
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Keywords:
methodology;
driven modeling;
data driven;
thermal dynamics ... See more keywords
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Published in 2021 at "ISA Transactions"
DOI: 10.1016/j.isatra.2021.01.028
Abstract: This paper presents a data-driven approach for COVID-19 modeling and forecasting, which can be used by public policy and decision makers to control the outbreak through Non-Pharmaceutical Interventions (NPI). First, we apply an extended Kalman…
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Keywords:
public policy;
driven modeling;
data driven;
modeling forecasting ... See more keywords
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Published in 2019 at "Journal of theoretical biology"
DOI: 10.1016/j.jtbi.2019.110054
Abstract: Over the last thirty years, we have witnessed a dramatic rise in the use of zebrafish in preclinical research. Every year, more than 5,000 technical papers are published about zebrafish, many of them seeking to…
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Keywords:
driven modeling;
caffeine;
behavioral response;
data driven ... See more keywords
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Published in 2021 at "Trends in molecular medicine"
DOI: 10.1016/j.molmed.2021.01.007
Abstract: A healthy pregnancy depends on complex interrelated biological adaptations involving placentation, maternal immune responses, and hormonal homeostasis. Recent advances in high-throughput technologies have provided access to multiomics biological data that, combined with clinical and social…
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Keywords:
pregnancy;
driven modeling;
data driven;
pregnancy related ... See more keywords
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Published in 2021 at "ACS Central Science"
DOI: 10.1021/acscentsci.1c00535
Abstract: Organic chemistry is replete with complex relationships: for example, how a reactant’s structure relates to the resulting product formed; how reaction conditions relate to yield; how a catalyst’s structure relates to enantioselectivity. Questions like these…
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Keywords:
driven modeling;
chemistry;
data driven;
organic chemistry ... See more keywords
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Published in 2023 at "Journal of Synchrotron Radiation"
DOI: 10.1107/s1600577522011080
Abstract: A framework for data-driven characterization of the nonlinear dynamics of a piezo-bimorph adaptive X-ray mirror has been developed. Rapid surface shape control and stability to within 2 nm RMS have been demonstrated.
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Keywords:
bimorph adaptive;
mirror;
control;
ray ... See more keywords
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Published in 2020 at "IEEE Transactions on Power Electronics"
DOI: 10.1109/tpel.2020.2989155
Abstract: This article develops a new method of data-driven modeling for a class of multiple-transmitter single-receiver wireless power transfer (WPT) systems. A continuous-time multiple-input single-output (MISO) model with pure time delays is used to characterize the…
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Keywords:
wireless power;
power transfer;
driven modeling;
power ... See more keywords
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Published in 2021 at "EPJ Data Science"
DOI: 10.1140/epjds/s13688-021-00287-6
Abstract: We study the problem of modeling temporal networks constrained by the size of a concurrent set, a characteristic of temporal networks shown to be important in many application areas, e.g., in transportation, social, process, and…
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Keywords:
modeling temporal;
temporal networks;
competition driven;
driven modeling ... See more keywords
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Published in 2018 at "Games and Culture"
DOI: 10.1177/1555412015601541
Abstract: Establishing genres is the first step toward analyzing games and how the genre landscape evolves over the years. We use data-driven modeling that distils genres from textual descriptions of a large collection of games. We…
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Keywords:
game genres;
driven modeling;
data driven;
product databases ... See more keywords