Titlebook: Carleman Estimates and Applications to Inverse Problems for Hyperbolic Systems; Mourad Bellassoued,Masahiro Yamamoto Book 2017 Springer Ja

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Carleman Estimates and Applications to Inverse Problems for Hyperbolic Systems978-4-431-56600-7Series ISSN 1439-7382 Series E-ISSN 2196-9922

incredulity

AgBr: mean square relative displacements,ents or source terms. The inverse problem is to determine unknown quantities in governing equations from available data of solutions. The unknown quantities are diverse, according to the inverse problems and phenomena studied, but typical unknowns are spatially varying coefficients and factors of source terms.

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AgBr: lattice parameters, bond length,leman estimate holds in the whole cylindrical domain . independently of the level set generated by a weight function. The proof is direct, relying on the calculus of tensor fields on a Riemannian manifold.

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Logistic Regression Model to Predict the Risk of Contagion of COVID-19 in Patients with Associated Morbidity Using Supervised Machine Learningon in patients with associated comorbidity rate. The objective is to develop a predictive model that can identify those patients with chronic diseases whose probabilities of acquiring the virus and other infectious diseases are high. Data obtained from the Mexican government are used which include i

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Vyacheslav Kartashevskiy,Marina Buranovaying the security attributes of mobile offloading systems. The offloading system is modeled as a stochastic process. The security quantification analysis is carried out for steady-state behaviour as to optimise a combined security and cost trade-off measure.