For the past 20 years, the development of computer based methods for the identification of optimal designs have been based on a single model, introduced by Walters and Sheble (1993) [1].
During the past decades much progress has been made in the development of computer based methods for parameter and predictive uncertainty estimation of hydrologic models.
In considering the development of the computer-based prediction methodology, it is important to predict 4D ground subsidence components at any point with any shape of excavation so as to cover a wide range of mining geometry as well as to provide automation, intellection, and visualization in the simulation of subsidence process.
This paper describes the processes involved in the development of the computer-based Mosoriot medical record system (MMRS) up to the point of implementation.
In the development of the computer-based concept, the intention was to provide a self-administrated screening and intervention tool in order to decrease work load and facilitate a focus on lifestyle issues.
Due to the complex nature of the development of pharmaceutical formulations, some computer based optimization techniques have been proposed in the literature.
This paper describes the development of methods and a computer based system for automated machinability assessment and tool selection for milling.
The trail forms an important foundation for the development, adaptation and evaluation of new computer based learning techniques for wider application in postgraduate and continuing education.
This work presents an object-oriented numerical framework for the development of computer programs based on the boundary element method (BEM).
One of the greatest challenges for optics is the development of computer systems based on all-optical photonic switching devices replacing electronic ones, that is, with short time and energy consumption per switch.
Previous studies have shown the value of computer based learning.
