A. Rajiv Kannan

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IgG is the predominant immunoglobulin in cervicovaginal mucus (CVM), yet how immunoglobulin G (IgG) in mucus can protect against infections is not fully understood. IgG diffuses rapidly through cervical mucus, slowed only slightly by transient adhesive interactions with mucins. We hypothesize that this almost unhindered diffusion allows IgG to accumulate(More)
In this study, a hybrid technique is designed for classification of leukemia gene data by combining two classifiers namely, Input Discretized Neural Network (IDNN) and Genetic Algorithm-based Neural Network (GANN). The leukemia microarray gene expression data is preprocessed using probabilistic principal component analysis for dimension reduction. The(More)
IgG is the predominant immunoglobulin in cervicovaginal mucus (CVM), yet how IgG in mucus can protect against infections is not fully understood. IgG diffuses rapidly through cervical mucus, slowed only slightly by transient adhesive interactions with mucins. We hypothesize this almost unhindered diffusion allows IgG to accumulate rapidly on pathogen(More)
The usage of the cloud computing services is increasing rapidly across all the domains, thereby inducing the cloud service providers to increase their underlying cloud resource capacity. If service providers keep on increasing the capacity, it may not be an optimal utilization of resources. Since one of the main characteristics of cloud is optimal(More)
  • Corresponding Author, H Khanna Nehemiah, S Jacophine Susmi, H Khanna Nehemiah, A Kannan, G Saranya
  • 2015
Microarray gene expressions provide an insight into genomic biomarkers that aid in identifying cancerous cells and normal cells. In this study, functionally related genes are identified by partitioning gene data. Clustering is an unsupervised learning technique that partition gene data into groups based on the similarity between their expression profiles.(More)
The main objective of this research work is to construct a Fuzzy Temporal Rule Based Classifier that uses fuzzy rough set and temporal logic in order to mine temporal patterns in medical databases. The lower approximation concepts and fuzzy decision table with the fuzzy features are used to obtain fuzzy decision classes for building the classifier. The(More)
The analysis and representation of temporal data are becoming increasingly important in many areas of research and application. The existing Fuzzy Cognitive Maps (FCMs) are efficient modeling method for knowledge representation and fuzzy reasoning in time series analysis. In the past, it was used to represent a complex causal system as a collection of(More)
Problem statement: An important and challenging problem is that of tracing DOS/DDOS attack source. IP traceback is the process of identifying the actual source(s) of attack packets, So that the attackers can be held accountable as also in mitigating them, either by isolating the attack sources or by filtering packets for away from the victim. Several IP(More)