supported by National Natural Science Foundation of China(Grant Nos.62127809,62373212,61733008,52061635102)。
This paper investigates the identifiability of structured systems with a matrix fraction description and attacks practical difficulties in estimating parameters under finite frequency responses.The numerator and denom...
This work is partially supported by Humanities and Social Foundation of Ministry of Education of China(22YJAZH129);the National Natural Science Foundation of China(No.12271143,No.61573016);the Shanxi Province Science Foundation(No.20210302123454);Shanxi Scholarship Council of China(2023–024).
Parameter identification involves the estimation of undisclosed parameters within a system based on observed data and mathematical models.In this investigation,we employ DAISY to meticulously examine the structural id...
Amid the rise of machine learning models,a substantial portion of plant growth models remains mechanistic,seeking to capture an in-depth understanding of the underlying phenomena governing the system's dynamics.The de...
The generalized additive partial linear models(GAPLM)have been widely used for flexiblemodeling of various types of response.In practice,missing data usually occurs in studies of economics,medicine,and public health.W...
supported by National Natural Science Foundation of China under Grant No.52107066 and 5210071352.
The identification of load model parameters from practical measurement data has become an essential method to build load models for power system simulation,analysis and control.In practical situations,the accuracy of ...
The first and third authors were supported by FAPERJ and CNPq,Brazil.The second author acknowledges the support of the Natural Sciences and Engineering Research Council of Canada(NSERC),funding reference number RGPIN-2021-02632。
In this work we fit an epidemiological model SEIAQR(Susceptible-Exposed-Infectious-Asymptomatic-Quarantined-Removed)to the data of the first COVID-19 outbreak in Rio de Janeiro,Brazil.Particular emphasis is given to t...
supported by National Natural Science Foundation of China(Grant Nos.11531005,11971104 and 11421110002);supported by Grant-in-Aid for Scientific Research of the Japan Society for the Promotion of Science(JSPS)(Grant Nos.17K05572 and 17H02081);from the JSPS A3 foresight program:Modeling and Computation of Applied Inverse Problems;supported by Grant-in-Aid for Scientific Research of the JSPS(Grant Nos.19K03554 and 15H05740);supported by Grant-in-Aid for Scientific Research of the JSPS(Grant No.19K04421)。
To quantify fluorescence imaging of biological tissues,we need to solve an inverse problem for the coupled radiative transfer equations which describe the excitation and emission fields in biological tissues.We begin ...
In this paper, the inverse linear quadratic(LQ) problem over finite time-horizon is studied.Given the output observations of a dynamic process, the goal is to recover the corresponding LQ cost function. Firstly, by co...
supported by National Key Research and Development Program of China(Grant No.2016YFC1000307);National Natural Science Foundation of China(Grant Nos.61971021,61571024)。
Individual privacy preservation has become an important issue with the development of big data technology.The definition of ρ-differential identifiability(DI)precisely matches the legal definitions of privacy,which c...
Authors acknowledge financial support from the NSF grant 1610429 and the NSF grant 1414374 as part of the joint NSFNIH-USDA Ecology and Evolution of Infectious Diseases program;UK Biotechnology;Biological Sciences Research Council grant BB/M008894/1 and the Division of International Epidemiology and Population Studies,National Institutes of Health.
Mathematical models provide a quantitative framework with which scientists can assess hypotheses on the potential underlying mechanisms that explain patterns in observed data at different spatial and temporal scales,g...