Human‐Driven Models: A Case Study of Geologists as They Engage with Data for Decision Making
Sign Up to like & getrecommendations! 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… read more here.
Keywords: driven models; study geologists; models case; case study ... See more keywords
Extent of detection of hidden relationships among different hydrological variables during floods using data-driven models
Sign Up to like & getrecommendations! 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… read more here.
Keywords: river flow; driven models; relationships among; hidden relationships ... See more keywords
Evaluation of data-driven models (SVR and ANN) for groundwater-level prediction in confined and unconfined systems
Sign Up to like & getrecommendations! 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… read more here.
Keywords: groundwater; driven models; unconfined systems; confined unconfined ... See more keywords
Data-driven models for short-term thermal behaviour prediction in real buildings
Sign Up to like & getrecommendations! 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… read more here.
Keywords: driven models; data driven; less prediction; short term ... See more keywords
A robust surrogate model of a solid oxide cell based on an adaptive polynomial approximation method
Sign Up to like & getrecommendations! 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… read more here.
Keywords: driven models; apa method; surrogate; data driven ... See more keywords
Evaluation of data-driven models for predicting the service life of concrete sewer pipes subjected to corrosion.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: driven models; service life; corrosion; data driven ... See more keywords
Data-driven models for microscopic vehicle emissions
Sign Up to like & getrecommendations! 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… read more here.
Keywords: microscopic vehicle; driven models; vehicle; data driven ... See more keywords
Co-integration with score-driven models: an application to US real GDP growth, US inflation rate, and effective federal funds rate
Sign Up to like & getrecommendations! 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… read more here.
Keywords: inflation rate; driven models; growth inflation; application real ... See more keywords
Research Progress on Solar Flare Forecast Methods Based on Data-driven Models
Sign Up to like & getrecommendations! 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… read more here.
Keywords: driven models; flare; flare forecast; data driven ... See more keywords
Evaluation of Four Kernel-Driven Models in the Thermal Infrared Band
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2899600
Abstract: Many physical models have been proposed to simulate the directional anisotropy in the thermal infrared (TIR) region over vegetation canopies to produce angular corrected directional brightness temperature or land surface temperature. However, too many input… read more here.
Keywords: models thermal; kernel driven; thermal infrared; four kernel ... See more keywords
Data-Driven Models of Efficient Chromatic Coding in the Outer Retina
Sign Up to like & getrecommendations! Published in 2022 at "eNeuro"
DOI: 10.1523/eneuro.0397-22.2022
Abstract: Abstract Recent experimental work on zebrafish has shown the in vivo activity of photoreceptors and horizontal cells (HCs) as a function of the stimulus spectrum, highlighting the appearance of chromatic-opponent signals at their first synaptic… read more here.
Keywords: driven models; excitatory intercone; inhibitory feedback; retina ... See more keywords