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Published in 2025 at "Movement Disorders"
DOI: 10.1002/mds.30327
Abstract: Movement disorders are abnormal, involuntary movements that can heavily impact a person's quality of life. In clinical practice, diagnosis and severity assessments rely mainly on visual clinical inspections (ie, on subjective expert opinion). With clinical…
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Keywords:
movement disorders;
driven models;
video based;
data driven ... See more keywords
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Published in 2022 at "Proceedings of the Association for Information Science and Technology"
DOI: 10.1002/pra2.649
Abstract: The value of geologic data is well established and demonstrated by efforts such as EarthChem and EarthCube. Although these communities are active in the documentation and preservation of geologic data, more work is needed to…
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Keywords:
driven models;
study geologists;
models case;
case study ... See more keywords
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Published in 2021 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-021-09499-9
Abstract: Understanding of flood dynamics forms the basis for the leading water resource management and flood risk mitigation practices. In particular, accurate prediction of river flow during massive flood events and capturing the hysteretic behavior of…
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Keywords:
river flow;
driven models;
relationships among;
hidden relationships ... See more keywords
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Published in 2019 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-019-8474-y
Abstract: Modeling the behavior of groundwater levels is necessary to implement sustainable groundwater resource management. Groundwater is a non-linear and complex system, which can be modeled by data-driven models. This study evaluates the performances of data-driven…
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Keywords:
groundwater;
driven models;
unconfined systems;
confined unconfined ... See more keywords
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Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2017.05.015
Abstract: Abstract This paper presents the comparison of three data driven models for short-term thermal behaviour prediction in a real building, part of a living smart district connected to a thermal network. The case study building…
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Keywords:
driven models;
data driven;
less prediction;
short term ... See more keywords
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Published in 2020 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2020.09.116
Abstract: Abstract Surrogate models that predict the behaviors of solid oxide cells (SOCs) accurately at low computational cost are crucial to the control and optimization of SOC plants. Lumped physical models of SOCs, while widely used…
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Keywords:
driven models;
apa method;
surrogate;
data driven ... See more keywords
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Published in 2019 at "Journal of environmental management"
DOI: 10.1016/j.jenvman.2018.12.098
Abstract: Concrete corrosion is one of the most significant failure mechanisms of sewer pipes, and can reduce the sewer service life significantly. To facilitate the management and maintenance of sewers, it is essential to obtain reliable…
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Keywords:
driven models;
service life;
corrosion;
data driven ... See more keywords
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Published in 2019 at "Transportation Research Part D: Transport and Environment"
DOI: 10.1016/j.trd.2019.09.013
Abstract: Abstract In this paper, a new approach for describing the relationship between tailpipe emissions and vehicle movement variables is presented, called generalized additive model for location, scale and shape (GAMLSS). The dataset for this model…
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Keywords:
microscopic vehicle;
driven models;
vehicle;
data driven ... See more keywords
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Published in 2021 at "Macroeconomic Dynamics"
DOI: 10.1017/s1365100521000365
Abstract: Nonlinear co-integration is studied for score-driven models, using a new multivariate dynamic conditional score/generalized autoregressive score model. The model is named t-QVARMA (quasi-vector autoregressive moving average model), which is a location model for the multivariate…
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Keywords:
inflation rate;
driven models;
growth inflation;
application real ... See more keywords
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Published in 2024 at "Modelling and Simulation in Materials Science and Engineering"
DOI: 10.1088/1361-651x/ad6fc0
Abstract: In this work we apply data-driven models for predicting tensile strength of steel coils from chemical composition and process parameters. The data originates from steel production and includes a full chemical analysis, as well as…
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Keywords:
driven models;
steel;
tensile strength;
data driven ... See more keywords
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Published in 2023 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/acca01
Abstract: Eruption of solar flares is a complex nonlinear process, and the rays and high-energy particles generated by such an eruption are detrimental to the reliability of space-based or ground-based systems. So far, there are not…
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Keywords:
driven models;
flare;
flare forecast;
data driven ... See more keywords