Green building has been commonly accepted as an important strategy adopted by
governments around the world for mitigating climate change and energy shortage problem …

In this paper we present a knowledge-based approach for the automatic detection of
microcalcifications and clusters in mammographic images. Our proposal is based on using …

This paper investigates feature selection based on rough sets for dimensionality reduction in
Case-Based Reasoning classifiers. In order to be useful, Case-Based Reasoning systems …

Most often, image segmentation is not fully automated and a user is required to lead the
process in order to obtain correct results. In a medical context, segmentation can furnish …

Case-based reasoning systems need to maintain their case base in order to avoid
performance degradation. Degradation mainly results from memory swam** or exposure …

Safety assessment of thermal power plants (TPPs) is one of the important means to
guarantee the safety of production in thermal power production enterprises. Due to various …

In this article, we provide an overview of the case adaptation process. We classify various
existing case adaptation methods available in the literature. We consider three different …

Abstract Development of classification methods using case-based reasoning systems is an
active area of research. In this paper, two new case-based reasoning systems with two …

OBJECTIVE: The paper studies the new learning technique called cost-sensitive case-
based reasoning (CSCBR) incorporating unequal misclassification cost into CBR model …

Ductal carcinoma in situ (DCIS) is one type of breast cancer. Clusters of microcalcifications
(MCCs) are symptoms of DCIS that are recognized by mammography. Selection of robust …