Modeling, Simulation, and Parameter Estimation of Antisolvent Crystallization of α-Lactose Monohydrate

2019 ◽  
pp. 99-107
Author(s):  
Nitin Pawar ◽  
Ravi Methekar ◽  
Shailesh Agrawal
Keyword(s):  
Parameter Estimation ◽  
Lactose Monohydrate ◽  
Modeling Simulation ◽  
Antisolvent Crystallization

scholarly journals Modeling, simulation and kinetic parameter estimation for diesel hydrotreating

Fuel ◽  
2017 ◽  
Vol 209 ◽  
pp. 184-193 ◽  
Author(s):  
Leandro da Rocha Novaes ◽  
Neuman Solange de Resende ◽  
Vera Maria Martins Salim ◽  
Argimiro Resende Secchi
Keyword(s):  
Parameter Estimation ◽  
Kinetic Parameter ◽  
Modeling Simulation ◽  
Kinetic Parameter Estimation

Simultaneous Parameter Estimation and Optimization of a Seeded Antisolvent Crystallization

2012 ◽  
Vol 12 (11) ◽  
pp. 5247-5261 ◽  
Author(s):  
Clifford T. Ó’Ciardhá ◽  
Kieran W. Hutton ◽  
Niall A. Mitchell ◽  
Patrick J. Frawley
Keyword(s):  
Parameter Estimation ◽  
Antisolvent Crystallization

DETAILED MODELING, SIMULATION, AND PARAMETER ESTIMATION OF NITROXIDE MEDIATED LIVING FREE RADICAL POLYMERIZATION OF STYRENE 1*

2002 ◽  
Vol 10 (4) ◽  
pp. 227-263 ◽  
Author(s):  
José Bonilla ◽  
Enrique Saldívar ◽  
Antonio Flores-Tlacuahuac ◽  
Eduardo Vivaldo-Lima ◽  
Rudolf Pfaendner ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Free Radical ◽  
Radical Polymerization ◽  
Free Radical Polymerization ◽  
Modeling Simulation ◽  
Living Free Radical Polymerization

scholarly journals Modeling Simulation of COVID-19 in Indonesia based on Early Endemic Data

2020 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Nuning Nuraini ◽  
Kamal Khairudin ◽  
Mochamad Apri
Keyword(s):  
Parameter Estimation ◽  
Simple Model ◽  
South Korea ◽  
Logistic Equation ◽  
Infected People ◽  
Modeling Simulation ◽  
The World ◽  
Drastic Increase ◽  
S Curve ◽  
Parameter Values

The COVID-19 pandemic has recently caused so much anxiety and speculation around the world. This phenomenon was mainly driven by the drastic increase in the number of infected people with the COVID-19 virus worldwide. Here we propose a simple model to predict the endemic in Indonesia. The model is based on the Richard’s Curve that represents a modified logistic equation. Based on the similar trends of initial data between Indonesia and South Korea, we use parameter values that are obtained through parameter estimation of the model to the data in South Korea. Further, we use a strict assumption that the implemented strategy in Indonesia is as effective as in South Korea. The results show that endemic will end in April 2020 with the total number of cases more than 8000.

Weighted Combination of Prior and Sample Information and Parameter Estimation

Optimization ◽  
1976 ◽  
Vol 7 (5) ◽  
pp. 665-672
Author(s):  
H. Burke ◽  
C. Hennig ◽  
W H. Schmidt
Keyword(s):  
Parameter Estimation ◽  
Sample Information ◽  
Weighted Combination
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