Siby Abraham

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The analogy between immune systems and intrusion detection systems encourage the use of artificial immune systems for anomaly detection in computer networks. This paper describes a technique of applying artificial immune system along with genetic algorithm to develop an intrusion detection system. Far from developing primary immune response, as most of the(More)
The paper introduces particle swarm optimization as a viable strategy to find numerical solution of Diophantine equation, for which there exists no general method of finding solutions. The proposed methodology uses a population of integer particles. The candidate solutions in the feasible space are optimised to have better positions through particle best(More)
The paper proposes a perceptron based artificial neural network model for diagnosing learning disability using curriculum based test conducted by special educators in medical environment. The model comprises of a single input layer with eleven units which correspond to different sections of a conventional test and one output unit. The method is not only(More)
Automatic Facial Caricature Generation involves extracting the feature points and emphasizing the distinctive features of a particular face. The input face is compared to an “Average Face” based on their respective facial distance parameters. The deviations are then scaled by an “Exaggeration Rate”, thereby elevating the(More)
The paper introduces a connectionist network approach to find numerical solutions of Diophantine equations as an attempt to address the famous Hilbert‟s tenth problem. The proposed methodology uses a three layer feed forward neural network with back propagation as sequential learning procedure to find numerical solutions of a class of Diophantine equations.(More)
The paper proposes a novel idea of finding consensus of biological sequences using sequence evolution. It involves application of meta-heuristic optimization technique called Differential Evolution for the creation of a population of evolved sequences. This evolved population of sequences is used to find consensus using Position Frequency Matrix. DNA(More)
The paper proposes artificial intelligence technique called hill climbing to find numerical solutions of Diophantine Equations. Such equations are important as they have many applications in fields like public key cryptography, integer factorization, algebraic curves, projective curves and data dependency in super computers. Importantly, it has been proved(More)
The paper attempts to find numerical solutions of Diophantine equations, a challenging problem as there are no general methods to find solutions of such equations. It uses the metaphor of foraging habits of real ants. The ant colony optimization based procedure starts with randomly assigned locations to a fixed number of artificial ants. Depending upon the(More)
The paper proposes a novel methodology using the classification technique called Identification tree (IDT) to diagnose pulmonary tuberculosis (TB) computationally. It uses an exhaustive list of parameters by integrating the results of different medical examinations that are used conventionally. The model reduces the number of parameters required for the(More)
Breast cancer is the most frequently diagnosed non-skin cancer and the leading cause of cancer-deaths among women. With the advances in digital image processing techniques, it is envisaged that Computer aided diagnosis (CAD) systems can be devised to claim results at par with that of a histopathologist. The inherent assumption of this paper is that(More)