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Prof Jayasimha Y

vidwan id: 198277
Male

Professor, Department of Electronics and Communication Engineering
Sai Vidya Institute of Technology, BANGALORE

Expertise

  • Telecommunications

Publications

Total Articles 5
Books 0
Proceedings 0

Publications

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Scopus

Citations 10
h-index 2

CrossRef

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Citations 8
h-index 2
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Professional Recognition

2002

TEACHING EXCELLENCE

RNSIT
2017

TEACHING EXECELLENCE

SAI VIDYA INSTITUTE OF TECHNOLOGY

Community & Membership

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Bio

Analog Electronic circuits, Power Electronics, Microprocessor, Microcontroller. Research area and publications are in the field of Machine Learning.

Personal Details

  • Male
  • Professor , Sai Vidya Institute of Technology, BANGALORE
  • Department of Electronics and Communication Engineering,Sai Vidya Institute of Technology
M.Tech
Other Institute 1984
B.Tech
Other Institute 1982
Professor Aug 2008 – Present
Sai Vidya Institute of Technology, BANGALORE | Department of Electronics and Communication Engineering
Professor Aug 2001 – Jul 2007
R N S Institute of Technology, BANGALORE | Department of Electronics and Communication Engineering
Lecturer - Selection Grade Aug 1999 – Jul 2001
J S S Academy of Technical Education, Bangalore
Lecturer - Selection Grade Aug 1997 – Jul 1999
Islamia College of Education
Lecturer - Selection Grade Aug 1986 – Jul 1997
R V College of Engineering, Bangalore
Lecturer Jul 1984 – Aug 1986
Majhighariani Institute of Technology and Science (MITS), Rayagada

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Organisations (126+)

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Nagashree

Dr Nagashree N

Head of the Department

Bhagya

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Associate Professor

Bhaskar

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Assistant Professor

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Co-Authors (3)

R Venkata Siva

Dr R Venkata Siva Reddy

Reva University, Bangalore

VENKATESHA

Dr VENKATESHA MUNISWAMY

Sai Vidya Institute of Technology, BANGALORE

Scholarly Work

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Scholarly Publications

Face Detection and its Features Extraction using Convolution Neural Network Model

Open Access
Conference Paper
Authors: Jayasimha Y.;Venkatesha M.;Reddy R.V.S.

A facial expression recognition model using hybrid feature selection and support vector machines

Open Access
Article

EAGCNN-CNN based Combined Model for Human Emotion, Age and Gender Estimation

Open Access
journal-article
Authors:

A robust face emotion recognition approach through optimized SIFT features and adaptive deep belief neural network

Open Access
Article

A Robust Face Emotion Recognition Approach through Optimized SIFT Features and Adaptive Deep Belief Neural Network

Open Access
article