A cost-effective model for the gasoline blend optimization problem

AIChE Journal ◽  
2016 ◽  
Vol 62 (9) ◽  
pp. 3002-3019 ◽  
Author(s):  
Jaime Cerdá ◽  
Pedro C. Pautasso ◽  
Diego C. Cafaro
Keyword(s):  
Optimization Problem ◽  
Cost Effective ◽  
Effective Model

scholarly journals The Albufera Initiative for Biodiversity: a cost effective model for integrating science and volunteer participation in coastal protected area management

2014 ◽  
Vol 14 (2) ◽  
pp. 267-288 ◽  
Author(s):  
Nick J. Riddiford ◽  
Jeroen A. Veraart ◽  
Inmaculada Férriz ◽  
Nick W. Owens ◽  
Laura Royo ◽  
...  
Keyword(s):  
Protected Area ◽  
Cost Effective ◽  
Protected Area Management ◽  
Effective Model ◽  
Volunteer Participation ◽  
Area Management

Emergency Department Thoracotomy: A Cost-Effective Model for Simulation Training

2019 ◽  
Vol 57 (3) ◽  
pp. 375-379 ◽  
Author(s):  
Deena I. Bengiamin ◽  
Cory Toomasian ◽  
Dustin D. Smith ◽  
Timothy P. Young
Keyword(s):  
Emergency Department ◽  
Simulation Training ◽  
Cost Effective ◽  
Effective Model ◽  
Emergency Department Thoracotomy

Development and Validation of a Low-Fidelity Cost-Effective Model for Bronchoscopy Simulation Training

2019 ◽  
Vol 229 (4) ◽  
pp. S238
Author(s):  
Nicole J. Krumrei ◽  
Russell J. Pepe ◽  
Barbara Perry ◽  
Sugeet Jagpal ◽  
Sabiha Hussain ◽  
...  
Keyword(s):  
Simulation Training ◽  
Cost Effective ◽  
Effective Model ◽  
Development And Validation

scholarly journals An adaptive image inpainting method based on the modified mumford-shah model and multiscale parameter estimation

2019 ◽  
Vol 43 (2) ◽  
pp. 251-257 ◽  
Author(s):  
D.N.H. Thanh ◽  
V.B.S. Prasath ◽  
N.V. Son ◽  
L.M. Hieu
Keyword(s):  
Parameter Estimation ◽  
Constrained Optimization ◽  
Optimization Problem ◽  
Image Inpainting ◽  
Effective Model ◽  
Image Model ◽  
Constrained Optimization Problem ◽  
Classic Model

Image inpainting is a process of filling missing and damaged parts of image. By using the Mumford-Shah image model, the image inpainting can be formulated as a constrained optimization problem. The Mumford-Shah model is a famous and effective model to solve the image inpainting problem. In this paper, we propose an adaptive image inpainting method based on multiscale parameter estimation for the modified Mumford-Shah model. In the experiments, we will handle the comparison with other similar inpainting methods to prove that the combination of classic model such the modified Mumford-Shah model and the multiscale parameter estimation is an effective method to solve the inpainting problem.

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