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Ambeshwar Kumar

Researcher at Shanmugha Arts, Science, Technology & Research Academy

Publications -  24
Citations -  124

Ambeshwar Kumar is an academic researcher from Shanmugha Arts, Science, Technology & Research Academy. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 4, co-authored 19 publications receiving 63 citations.

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Efficient Approaches for Prediction of Brain Tumor using Machine Learning Techniques

TL;DR: A novel technique using mathematical analysis to predict and enhance the better models of brain tumor detection is proposed and will be used to diagnose the patient's brain tumor with good accuracy success rate.
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A deep neural network based classifier for brain tumor diagnosis

TL;DR: To improve the early-stage brain tumor diagnosis via classification the Weighted Correlation Feature Selection Based Iterative Bayesian Multivariate Deep Neural Learning (WCFS-IBMDNL) technique is proposed in this work.
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Eccentric Methodology with Optimization to Unearth Hidden Facts of Search Engine Result Pages

TL;DR: A new framework and system that process website contents to determine search engine optimization factors and it is concluded that the developed system is able to perform a deeper analysis and find factors which play a role in bringing the site on the top of the list.