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Kernel-Based Empirical Bayesian Classification Methods With Applications To Protein Phosphorylation And Non-Coding Rna

By Janardhan Gosavi

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Dynamics And Sensitivity Analysis Of A Voltage-Source Converter Connected To A Weak Grid

By Dheeraj Sinha

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Sparse Matrix Belief Propagation

By Heera Satpute

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Deep Learning, Neural Networks And Aerospace Applications

By Gopinath Poonawalla

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Side Channel Attack Counter Measure Using A Moving Target Architecture

By Aanand Gaikuwad

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Enhanced Breast Cancer Classification With Automatic Thresholding Using Support Vector Machine And Harris Corner Detection

By Chaaya Gavli

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Personalized Anticoagulant Management Using Reinforcement Learning.

By Ratnakar Meshram

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Segmentation Of Fascicles From Microct Images Of The Vagus Nerve: A Deep Learning Based Approach

By Suriyan Padaiyachi

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Visualization Of The Budding Yeast Cell Cycle

By Charulata Desai

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Load-Balancing In Local And Metro-Area Networks With Mptcp And Openflow

By Rajas Randhawa

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