Quantitative model-data comparison of mid-Holocene lake-level change in the central Rocky Mountains
Sign Up to like & getrecommendations! Published in 2019 at "Climate Dynamics"
DOI: 10.1007/s00382-019-04633-3
Abstract: Recently-developed Holocene lake-level reconstructions from the Rocky Mountains offer a quantitative target for testing the skill of state-of-the-art climate system models in simulating hydroclimate change. Here, we use a combination of hydrologic models of catchment… read more here.
Keywords: holocene lake; rocky mountains; level; model data ... See more keywords
Estimates of spectral wave attenuation in Antarctic sea ice, using model/data inversion
Sign Up to like & getrecommendations! Published in 2021 at "Cold Regions Science and Technology"
DOI: 10.1016/j.coldregions.2020.103198
Abstract: Abstract A model-data inversion is applied to an extensive observational dataset collected in the Southern Ocean north of the Ross Sea during late autumn to early winter, producing estimates of the frequency-dependent rate of dissipation… read more here.
Keywords: data inversion; sea ice; model data; dissipation ... See more keywords
Large‐Scale Ionospheric Disturbances During the 17 March 2015 Storm: A Model‐Data Comparative Study
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Geophysical Research"
DOI: 10.1029/2019ja027726
Abstract: This paper presents a detailed model‐data comparative study of the 17 March 2015 geomagnetic storm using the high‐resolution version of the thermosphere‐ionosphere‐electrodynamic general circulationmodel and the total electron content observations from a dense global navigation… read more here.
Keywords: storm; sed plume; study; model data ... See more keywords
Fractional SEIR Model and Data-Driven Predictions of COVID-19 Dynamics of Omicron Variant
Sign Up to like & getrecommendations! Published in 2022 at "Chaos"
DOI: 10.1063/5.0099450
Abstract: We study the dynamic evolution of COVID-19 caused by the Omicron variant via a fractional susceptible-exposed-infected-removed (SEIR) model. Preliminary data suggest that the symptoms of Omicron infection are not prominent and the transmission is, therefore,… read more here.
Keywords: omicron variant; model; model data; seir model ... See more keywords
Assessment of Item Response Model-Data Fit Via Bayesian Limited Information Model Comparison Posterior Predictive Checks
Sign Up to like & getrecommendations! Published in 2019 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2019.1700772
Abstract: Model-data fit is critical to ensure valid interpretations of test scores. Recently, emphasis has been placed on Bayesian psychometric models. Despite a surge in research on Bayesian psychometric models, no research has yet been conducted… read more here.
Keywords: model data; data fit; model; limited information ... See more keywords
Modelling of marine ecosystem in regional scale for short term prediction of satellite-aided operational fishery advisories
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Operational Oceanography"
DOI: 10.1080/1755876x.2019.1574951
Abstract: ABSTRACT The operational Potential Fishing Zone (PFZ) advisory generated and disseminated by the ESSO-Indian National Centre for Ocean Information Services has a significant impact on the livelihood of coastal community of India. PFZs are identified… read more here.
Keywords: short term; satellite; modelling marine; model data ... See more keywords
The role of predictive model data in designing mangrove forest carbon programs
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Research Letters"
DOI: 10.1088/1748-9326/ab7e4e
Abstract: Estimating baseline carbon stocks is a key step in designing forest carbon programs. While field inventories are resource-demanding, advances in predictive modeling are now providing globally coterminous datasets of carbon stocks at high spatial resolutions… read more here.
Keywords: carbon; carbon programs; forest carbon; predictive model ... See more keywords
De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocad077
Abstract: Machine learning (ML)-driven computable phenotypes are among the most challenging to share and reproduce. Despite this difficulty, the urgent public health considerations around Long COVID make it especially important to ensure the rigor and reproducibility… read more here.
Keywords: long covid; computable phenotypes; machine learning; model ... See more keywords
Derivation of Bioimpedance Model Data Utilizing a Compact Analyzer and Two Capacitive Electrodes: A Forearm Example
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2022.3206666
Abstract: The paper investigates the impacts of the selected electrical equivalent circuit model, measurement setup, and surrounding environment on the trustworthiness of electrical bioimpedance measurement and obtained model data in the human body. The influence of… read more here.
Keywords: model parameters; two capacitive; bioimpedance; model ... See more keywords
A New Model-Data Co-Driven Method for Radar Ship Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3169573
Abstract: Target detection played a vital role in radar image interpretation. The early studies usually relied on the model-driven strategy, such as the constant false alarm rate technique. This family of a method aimed to find… read more here.
Keywords: detection; data driven; radar; model data ... See more keywords
Implementation model of data analytics as a tool for improving internal audit processes
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2023.1140972
Abstract: Introduction The aim of this article is to understand the importance of internal audit departments todays—part of corporate governance and guardian of the organisation’s culture and climate—, as well as the opportunities that new technologies… read more here.
Keywords: audit processes; audit; implementation model; internal audit ... See more keywords