This paper proposes a novel technique for palmprint recognition in context to biometric identification of a person. Palmprints are images of the inner portion of a person’s palm and consist of a complex pattern of random...
Structural information can provide insight into protein function, and therefore, high- accuracy prediction of protein structure from its sequence is highly desirable. We predicted the econdary structure of query protein...
Image compression, in the present context of heavy network traffic, is going through major research and development. The lossless compression techniques, presently in practise, follow three basic paradigms – character re...
Frequent Itemset Mining is evaluating the rules and relationship within the data items are optimizing it, in the large spatial databases (for e.g. Images, Docs, AVI files etc).It is one of the major problems in DM (Data...
Imperialist Competitive Algorithm (ICA) is a new optimization algorithm that inspired by socio-political process of imperialistic competition. In this paper an optimization methodology for the design of composite plates...
Palmprint Recognition in Eigen-space
This paper proposes a novel technique for palmprint recognition in context to biometric identification of a person. Palmprints are images of the inner portion of a person’s palm and consist of a complex pattern of random...
Prediction of Protein Secondary Structure using Artificial Neural Network
Structural information can provide insight into protein function, and therefore, high- accuracy prediction of protein structure from its sequence is highly desirable. We predicted the econdary structure of query protein...
Efficient Lossless Colour Image Compression Using Run Length Encoding and Special Character Replacement
Image compression, in the present context of heavy network traffic, is going through major research and development. The lossless compression techniques, presently in practise, follow three basic paradigms – character re...
An Efficient Pruning Technique for Mining Frequent Itemsets in Spatial Databases
Frequent Itemset Mining is evaluating the rules and relationship within the data items are optimizing it, in the large spatial databases (for e.g. Images, Docs, AVI files etc).It is one of the major problems in DM (Data...
Optimization of Composite Plates Based on Imperialist Competitive Algorithm
Imperialist Competitive Algorithm (ICA) is a new optimization algorithm that inspired by socio-political process of imperialistic competition. In this paper an optimization methodology for the design of composite plates...