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KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy...
Harikumar Rajaguru
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Epilepsy is a chronic disorder, the hallmark of which is recurrent, unprovoked seizures. Many people with epilepsy have more than one type of seizures and may have other symptoms of neurological problems as well. Epilepsy is caused due to sudden recurrent firing of the neurons in the brain. The symptoms are convulsions, dizziness and confusion. One out of every hundred persons experiences a seizur...
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Computational Approaches for Identifying Drugs Against Alzheimer's Disease
Radha Mahendran
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Alzheimer’s disease is the most common form of dementia which is incurable. Although some kinds of memory loss are normal during aging, these are not severe enough to interfere with the level of function. ß-Secretase is an important protease in the pathogenesis of Alzheimer’s disease. Some statine-based peptidomimetics show inhibitory activities to the ß-secretase. To explore the inhibitory ...
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Comprehensive Analysis of Swarm Based Classifiers and Bayesian Based Models...
Harikumar Rajaguru
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This project presents the performance analysis of Particle swarm optimization (PSO), hybrid PSO and Bayesian classifier to calculate the epileptic risk level from electroencephalogram (EEG) inputs. PSO is an optimization technique which is initialized with a population of random solutions and searches for optima by updating generations. PSO is initialized with a group of random particles (solution...
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An Improved Lightweight Privacy Preserving Authentication Scheme for SIP-Ba...
Saeed Ullah Jan
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In the past few years, secure information sharing became very popular in the area of immigration, military applications, healthcare, education, foreign affairs, etc. As secure communication utilizes both wireless and wired communication mechanizations for exchanging sensitive information, security and privacy of the information exchange cannot be easily compromised. To moderate the security, integ...
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Single Precision Floating Point Multiplier
B. Vinoth Kumar
RSS Feed zum eBook Single Precision Floating Point Multiplier
The Floating Point Multiplier is a wide variety for increasing accuracy, high speed and high performance in reducing delay, area and power consumption. The floating point is used for algorithms of Digital Signal Processing and Graphics. Many floating point multipliers are used to reduce the area that perform in both the single precision and the double precision in multiplication, addition and subt...
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