This research paper proposes an intelligent classification technique to identify anomalies present in brain MRI. The manual interpretation of anomalies based on visual examination by radiologist/physician may lead to missing diagnosis when a large number of MRIs are analyzed. To avoid the human error, an automated intelligent classification system is proposed which caters the need for classific...

Protein secondary structure prediction is one of major challenges in bioinformatics, data ming. In this paper, we propose a novel intelligent prediction system model-Compound Pyramid System Model, which may become the classic model for predicting protein secondary structure. It consists of four components by intelligent interfaces and synthesizing several methods such as SAC (Structural associa...

This paper describes our efforts at constructing a fine-grained student model in Project LISTEN’s intelligent tutor for reading. Reading is different from most domains that have been studied in the intelligent tutoring community, and presents unique challenges. Constructing a model of the user from voice input and mouse clicks is difficult, as is constructing a model when there is not a well-de...

To improve the accuracy of real time vehicle surveillance, utilize the advances in wireless sensor networks to develop a magnetic signature and length estimation based vehicle classification methodology with binary proximity magnetic sensor networks and intelligent neuron classifier. In this algorithm, we use the low cost and high sensitive magnetic sensors to measure the magnetic field distort...