This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...

JEE still remains one of the most difficult and competitive examinations in the country, as it is a window to the prestigious ...

Changes In Surface Temperature,Detection Methods,Differential Equations,Distribution Network,Early Detection,Early Detection Methods,Early Fault,Early Fault Detection,Equation Changes,Equivalent ...

Changes In Surface Temperature,Detection Methods,Differential Equations,Distribution Network,Early Detection,Early Detection Methods,Early Fault,Early Fault Detection,Equation Changes,Equivalent ...

This paper is concerned with the long-time behavior of solutions for a class of stochastic semilinear degenerate equations with memory driven by nonlinear noise on ℝ n ...

A differential equation is an equality constraining a mathematical function in relation to its derivatives over one or multiple variables. Such equations may constitute the mathematical model for a ...

Quantum computing has long held promise as the next era in information processing, with applications in drug discovery, ...

Viscous fingering occurs when a thinner fluid pushes a thicker, more viscous fluid in a porous medium, like underground rock, ...

Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we ...