The engineering computing community has been slow to develop intelligent standards processing methodologies. To pave the way for the advancement of automated standards processing systems, it is necessary to develop formalized ...

A KDD framework was developed to convert construction project data into knowledge. This paper shows the nine steps in the KDD process: (i) understanding and defining the problem, (ii) collecting data, (iii) exploring data, ...

In many machine learning applications, some assumptions are so prevalent as to be left unwritten: all necessary data are available throughout the training process, the training and test data are independent and identically ...

Software maintenance is the most expensive part of the software life-cycle. This is partially due to the fact that quite often the only reliable and available documentation about a program is its source code and all the ...

To learn effectively, a system needs to use all the knowledge that is available. Explanation-based learning and similarity-based learning operate over a domain theory and a set of examples, respectively, but neither approach ...

The relationship between constructive induction and domain knowledge can be analyzed systematically. Recent research has integrated knowledge and constructive induction in isolated domains with some success, but undue ...

Term rewriting proved to be a simple, uniform and powerful computational paradigm. Rewrite rules independently match and apply anywhere, unconstrained by the context. Rewriting is particularly appealing for defining ...

This thesis is concerned with numerical methods for the robust and efficient solution of fundamental problems in general relativity, fluid dynamics, chemical kinetics, electrical networks, and other areas of science and ...

Topology optimization is a powerful tool for global and multiscale design of structures, microstructures, and materials. The computational bottleneck of topology optimization is the solution of a large number of extremely ...

Power system applications are computationally intense, and therefore there is a need to develop new methods for performing these calculations. This study proposes the use of numerical methods based on the Krylov subspace ...