This repository is provided as a tutorial for the implementation of integration algorithms of first and second order ODEs through recurrent neural networks in Python. The first order example ...

The asynchrony of modes between the plant and controller is described by a hidden Markov model. Both dynamic state and input quantization are considered. The dynamic zooming factors of the quantizers ...

Design The current model is based on a previously published state-transition model that estimated the outcomes of a screening programme using an MCED test when added to usual care for persons aged ...

Objectives This study analyses the cost-effectiveness of annual low-dose CT (LDCT) screening of high-risk cancer populations in Chinese urban areas. Design We used a Markov model to evaluate LDCT ...

Interest in atomically detailed simulations has grown significantly with recent advances in computational hardware and Markov ... transition pathways for each of the four methods. Consistently, we ...

NeqSim is a library for calculation of fluid behavior, phase equilibrium and process simulation. This project is a Python interface to NeqSim.

School of Mechanical Engineering, University of Campinas (UNICAMP), Rua Mendeleyev, 200 - CEP 13083-860, Cidade Universitária “Zeferino Vaz”, Barão Geraldo, Campinas, SP 13086-002, Brazil School of ...

Abstract: Block-error processes in transmissions over slow-fading channels can be accurately modeled by a two-state Markov chain [the block Markov model (BMM ...