Abstract

The modeling of adsorption processes appears quite frequently in the chemical industry, petrochemical plants and refineries, for example for separation and purification of mixtures in Simulated Moving Bed (SMB) units. In the mathematical formulation, the accurate determination [...]

Abstract

In this work a conceptual theory of neural networks (NNs) from the perspective of functional analysis and variational calculus is presented. Within this [...]

Abstract

Our goal in this paper, is the identification of initial condition in a heat equation that contains a memory term from final data. To this aim, we first establish the well-posedness of the direct problem. Then we prove the continuity and the G-derivability of the cost function. [...]

Abstract

Develop new strategies to design and operate the multilateration systems, used for air traffic control operations, in a more efficient way. The design strategies are based on the utilization of metaheuristic optimization techniques and they are intended to found the optimal spatial [...]

Abstract

Approximate Bayesian Computation is used in this work for the selection and calibration of cell proliferation models. Four competing models based on ordinary differential equations are analyzed, by using the measurements of the proliferation of DU-145 prostate cancer viable cells [...]

Abstract

The Localized Collocation Meshless Method (LCMM) is applied to the solution of a set of partial differential equations describing the diffusive transport of a dermally injected compound. This efficient and accurate numerical technique then provides the framework for the estimation [...]