A data-driven model of the COVID-19 spread among interconnected populations: epidemiological and mobility aspects following the lockdown in Italy
Sign Up to like & getrecommendations! Published in 2021 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-021-06840-2
Abstract: An epidemic multi-group model formed by interconnected SEIR-like structures is formulated and used for data fitting to gain insight into the COVID-19 dynamics and into the role of non-pharmaceutical control actions implemented to limit the… read more here.
Keywords: mobility; lockdown italy; data driven; model ... See more keywords
Data-Driven Model Validation Across Dimensions
Sign Up to like & getrecommendations! Published in 2019 at "Bulletin of Mathematical Biology"
DOI: 10.1007/s11538-019-00590-4
Abstract: Data-driven model validation across dimensions in mathematical and computational biology assumptions are often made (e.g., symmetry) to reduce the problem from three spatial dimensions (3D) to two (2D). However, some experimental datasets, such as cell… read more here.
Keywords: methodology; data driven; model validation; biology ... See more keywords
Permeability prediction for carbonate reservoir using a data-driven model comprising deep learning network, particle swarm optimization, and support vector regression: a case study of the LULA oilfield
Sign Up to like & getrecommendations! Published in 2019 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-019-4804-3
Abstract: Permeability is universally considered as an important parameter since its data is critical for some basic geological work, such as constructing a pore-throat system of reservoir, evaluating flowing capability of formation, etc. Accordingly, how to… read more here.
Keywords: permeability prediction; data driven; deep learning; permeability ... See more keywords
Transient system simulation for an aircraft engine using a data-driven model
Sign Up to like & getrecommendations! Published in 2020 at "Energy"
DOI: 10.1016/j.energy.2020.117046
Abstract: Abstract In this paper, a simulation approach using a data-driven model to predict the performance of a gas turbine for aircraft engines during transient operations is proposed. The low bypass ratio and mixed-flow turbofan engine… read more here.
Keywords: using data; engine; data driven; simulation ... See more keywords
A modified version of the kernel-driven model for correcting the diffuse light of ground multi-angular measurements
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2018.03.030
Abstract: Abstract When using the kernel-driven bidirectional reflectance distribution function (BRDF) model to process multi-angular measurements, the input multi-angular measurements must be corrected for atmospheric effects. However, in current databases, a significant number of ground-based multi-angular… read more here.
Keywords: angular measurements; reflectance; multi angular; driven model ... See more keywords
A unified model for microtubule rescue
Sign Up to like & getrecommendations! Published in 2019 at "Molecular Biology of the Cell"
DOI: 10.1091/mbc.e18-08-0541
Abstract: How microtubules transition from depolymerization to polymerization, known as rescue, is poorly understood. Here we examine two models for rescue: 1) an “end-driven” model in which the depolymerizing end stochastically switches to a stable state;… read more here.
Keywords: rescue sites; unified model; model; rescue ... See more keywords
Fusion Modeling Method of Car-Following Characteristics
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2949305
Abstract: Car-following model is indispensable to evaluate the characteristics of car-following behaviors. Through an analysis and comparison of data-driven and theoretically driven car-following models, it shows that the data-driven model has poor interpretability and high quality… read more here.
Keywords: following model; car following; data driven; car ... See more keywords
Event-Driven Model Predictive Controller for State Constrained Systems: An Input Signal Reconstruction Method
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3080671
Abstract: A novel event-driven model predictive control (MPC) technique is constructed for perturbed nonlinear system including both input and state constraints. The primary merit of the developed method is the event-driven input signal is constructed based… read more here.
Keywords: input signal; event driven; event; signal reconstruction ... See more keywords
Data Driven Model to Investigate Political Bias in Mainstream Media
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3270630
Abstract: Media bias refers to the tendency of mainstream media outlets to report news in a way that reflects their own political, social, or ideological beliefs or preferences. Such bias may obfuscate facts, manipulate public beliefs,… read more here.
Keywords: media bias; driven model; mainstream media; news ... See more keywords
Data-Driven Model Predictive Control-Based Proactive Scheduling for Commercial Microgrid Considering Anomaly Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2022.3172397
Abstract: One of the challenging tasks for commercial microgrids with distributed generation is to ensure critical loads resilience during high-impact, low-frequency extreme events. This article proposes a data-driven model predictive control-based proactive scheduling strategy for microgrids… read more here.
Keywords: driven model; proactive scheduling; extreme events; data driven ... See more keywords
Data-Driven Model Reduction of Monotone Systems by Nonlinear DC Gains
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2019.2939191
Abstract: In this paper, we develop data-driven model reduction methods for monotone nonlinear control systems based on a nonlinear version of the dc gain. The nonlinear dc gain is a function of the amplitude of the… read more here.
Keywords: gain; model reduction; reduction; data driven ... See more keywords