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Published in 2019 at "Environmetrics"
DOI: 10.1002/env.2522
Abstract: Extreme river flows can lead to inundation of floodplains, with consequent impacts for society, the environment, and the economy. Extreme flows are inherently difficult to model, being infrequent, irregularly spaced, and affected by nonstationary climatic…
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Keywords:
quantile regression;
regression;
model;
spatiotemporal modeling ... See more keywords
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Published in 2017 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-017-1461-5
Abstract: Spatiotemporal modeling of relative risk of dengue disease provides useful risk maps for surveillance and forecasting. The objective of the study was to generate smoothed estimates of relative risk applying hierarchical Bayesian spatiotemporal models, including…
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Keywords:
risk;
risk dengue;
modeling relative;
spatiotemporal modeling ... See more keywords
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Published in 2024 at "ACS nano"
DOI: 10.1021/acsnano.4c12599
Abstract: Cells act as physical computational programs that utilize input signals to orchestrate molecule-level protein-protein interactions (PPIs), generating and responding to forces, ultimately shaping all of the physiological and pathophysiological behaviors. Genome editing and molecule drugs…
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Keywords:
spatiotemporal modeling;
modeling;
applying spatiotemporal;
modeling cell ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3084133
Abstract: Spatiotemporal modeling is critical to the simulation, optimization, and control of the thermal process of a lithium-ion battery, which is a typical kind of distributed parameter system (DPS). Data-driven spatiotemporal modeling methods are of practical…
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Keywords:
spatiotemporal modeling;
placement spatiotemporal;
sensor placement;
battery ... See more keywords
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Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13631
Abstract: We propose a model-based approach that combines Bayesian variable selection tools, a novel spatial kernel convolution structure, and autoregressive processes for detecting a subject's brain activation at the voxel level in complex-valued fMRI (CV-fMRI) data.…
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Keywords:
valued fmri;
structure;
kernel;
complex valued ... See more keywords
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Published in 2022 at "Environmental Health Perspectives"
DOI: 10.1289/ehp10889
Abstract: Background: Based on human and animal experimental studies, exposure to ambient carbon monoxide (CO) may be associated with cardiovascular disease outcomes, but epidemiological evidence of this link is limited. The number and distribution of ground-level…
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Keywords:
cost;
ambient carbon;
low cost;
modeling framework ... See more keywords
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Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14167082
Abstract: Brazil has been one of the largest soybean producers in recent years. The soybean is a legume commonly found in family meals. Among the diseases affecting the grains, Asian soybean rust is one of the…
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Keywords:
logic theory;
spatiotemporal modeling;
logic;
theory spatiotemporal ... See more keywords