Educational Qualification
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B.E / B.Tech.(Electronics & Communication),
M.E/M.Tech.(Digital Electronics),
Ph.D (Image Processing)
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)
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Date of Joining at RVCE : 22-09-2015
Subjects Handled : Digital Electronics, Analog circuits, Image Processing, Linear Integrated Circuits, Field Theory, Control Systems.Digital system design using Verilog HDL
Number of UG Projects Guided: 10
Publication Details
Journals:
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Nagaraj Bhat et al "Performance analysis of machine learning algorithm of detection and classification of brain tumor using computer vision" Advances in Engineering Software,elsevier (Q1 Journal) 2022.
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Nagaraj Bhat, U Eranna "Pattern Approximation Based Generalized Image Noise Reduction Using Adaptive Feedforward Neural Network"International Journal of Electrical and Computer Engineering,vol.8,2018(Q2 Journal)
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Nagaraj Bhat, U Eranna "Complementary Approach for Image Edge Detection Using Rough Mirror Mapping in Neural Network"nternational Journal of Engineering & Technology,vol.7,isuue3.4, pp.127-132,2018.
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Facial Expression Recognition using FLD combined with PCA is published in IJARECE-2012 volume 2 issue 1.
International Conferences:
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Nagaraj Bhat, U Eranna "Robust Global Gradient Thresholds Estimation in Anisotropic Diffusion for Image Restoration Using DE"International Conference on Next Generation Computing Technologies,677-691,Springer, Singapore.
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Nagaraj Bhat, Roshni Sen "An Overview of Near Field Communication and its Application in the Payment Sector" Journal of University of Shanghai for Science and Technology,2021
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Nagaraj Bhat , Santosh Herur "Analysis and design of 1GHz PLL for fast phase and frequency lock"Proc. of Int. Conf. on Recent Trends in Signal Processing, Image Processing and VLSI
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BM Mahendra, Savita Sonoli, Nagaraj Bhat, T Raghu "IoT based sensor enabled smart car parking for advanced driver assistance system"2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)
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Participated and Presented paper on “Facial Expression Recognition” in ICRTCSE-2012 held on May 3rd & 4th in Appolo Engineering college ,Chennai.
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Participated and Presented paper on Analysis and Design of 1GHz PLL for Fast Phase and Frequency Lock in ICRTCSV-2014 held at DBIT Bangalore.
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