149 citations
- University of BelgradeRS2 papers
- ASA CollegeUS1 paper
- Brookhaven National LaboratoryUS1 paper
- Government of Tamil NaduIN1 paper
- Harish-Chandra Research InstituteIN1 paper
- Helmholtz-Zentrum Berlin für Materialien und EnergieDE1 paper
- Indira Gandhi Centre for Atomic ResearchIN1 paper
- ISIS Neutron and Muon Source1 paper
- Jimma UniversityET1 paper
- Leibniz Institute for Solid State and Materials ResearchDE1 paper
- Rutherford Appleton LaboratoryGB1 paper
- SASTRA UniversityIN1 paper
20 papers
Decomposition of Cartesian Product of Complete Graphs into Sunlet Graphs of Order Eight
K. Sowndhariya, A. Muthusamy
we define the sunlet graph is the graph obtained by taking one copy of the cycle and joined every vertex of the cycle to an exactly one pendant vertex such that the degree of each…
Extraction of Protein Sequence Motif Information using PSO K-Means
R. Gowri, R. Rathipriya
The main objective of the paper is to find the motif information.The functionalities of the proteins are ideally found from their motif information which is extracted using various…
Existence of covers and envelopes of a left orthogonal class and its right orthogonal class of modules
Umamaheswaran Arunachalam, Udhayakumar Ramalingam, Selvaraj Chelliah
In this paper, we investigate the notions of -projective, -injective and -flat modules and give some characterizations of these modules,…
Extraction of Web Usage Profiles using Simulated Annealing Based Biclustering Approach
R. Rathipriya, K. Thangavel
In this paper, the Simulated Annealing (SA) based biclustering approach is proposed in which SA is used as an optimization tool for biclustering of web usage data to identify the o…
Pectoral Muscles Suppression in Digital Mammograms using Hybridization of Soft Computing Methods
I. Laurence Aroquiaraj, K. Thangavel
Breast region segmentation is an essential prerequisite in computerized analysis of mammograms. It aims at separating the breast tissue from the background of the mammogram and it…
Anomaly Detections in Internet traffic Using Empirical Measures
A. S. Syed Navaz, S. Gopalakrishnan, R. Meena
Introducing Internet traffic anomaly detection mechanism based on large deviations results for empirical measures. Using past traffic traces we characterize network traffic during…