Classifying data is a common task in Machine learning. Data mining plays an essential role
for extracting knowledge from large databases from enterprises operational databases. Data …

This paper presents design and architecture of real time web-centric tele health diabetes
diagnosis expert system. Diabetes is the single most important metabolic disease, which can …

The objective of our paper is to predict the chances of diabetic patient getting heart disease.
In this study, we are applying Naïve Bayes data mining classifier technique which produces …

In autonomous distributed environments such as peer to peer file sharing system, some
egoistic nodes could possibly collapse the system. Thus to meet the various users requirement …

Fault tolerance is a major concern in under water wireless sensor networks. The network
must exist to work even after node failures. Handling node failure needs to be performed …

Undoubtedly, blindness is a major trauma, which affects an individual not only physically but
also emotionally. There are approximately 46 million visually impaired people throughout …

e-Learning is one of the most preferred media of learning by the learners. The learners
search the web to gather knowledge about a particular topic from the information in the …

This paper presents a comprehensive computational model for the prediction of the transient
Electroslag Remelting (ESR) process for cylindrical ingots based on axisymmetric two-…

Modeling will help reduce machining problems and thereby enable more rapid introduction
of high-performance materials and components. This article discusses the technical needs of …

The biggest challenge in MANETs is to find most efficient routing due to the changing topology
and energy constrained battery operated computing devices. It has been found that Ant …