Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...
Abstract: The increasing use of distributed generation has revealed limitations in conventional power electronic converters, which are unable to provide sufficient inertia and damping support to the ...
The best-fit SOE function from the model selection and ATP fitting was then used to calculate the reference TIA (Fig. 1). Calculation of the TIAs was based on the analytic solution of the SOE ...
Journal of Nuclear Medicine February 2024, jnumed.123.266268; DOI: https://doi.org/10.2967/jnumed.123.266268 ...
Some of the material on this web page is based upon work supported by the National Science Foundation under Grants SES-0350686, SES-0719055, and . Any opinions, findings and conclusions or ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Fouling problems arise as a result of the highly exothermic ...
In many scientific fields including neuroscience, climatology or physics, complex relationships can be described most parsimoniously by non-linear mechanics. Despite their relevance, many ...
Computation in neural circuits relies on a common set of motifs, including divergence of common inputs to parallel pathways, convergence of multiple inputs to a single neuron, and nonlinearities that ...
Computational Methods and Modeling for Engineering Applications (GENG 8030) is a foundational graduate course in the Master of Engineering (MEng) program at the University of Windsor. This course ...
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