Ministry of Education
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Rakesh ece

vidwan id: 472053

Assistant Professor, Department of Electronics and Communications Engineering
G Narayanamma Institute of Technology & Science for Women

Orchid Icon 0000-0001-5038-1786 Google Scholar Icon 57224670211 Researcher Icon D-3631-2019 Google Scholar Icon oE9NG8QAAAAJ

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 24
Books 0
Proceedings 0

Publications

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Professional Recognition

2018

IEAE Young Achiever Award

Institute of scholar
2021

Best Senior faculty

Novel Research Academy
2023

IETE 2nd Best Faculty coordinator

IETE Hyderabad centre

Community & Membership

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IETE

2021
Fellow

INSC

2018
Member INSC20180351

Bio

Digital image processing, cognitive radio

Personal Details

  • Assistant Professor , G Narayanamma Institute of Technology & Science for Women
  • Shaikpet, Hyderabad, Telangana, India
M.E (Ph.D)
Chaitanya Bharathi Institute of Technology, Hyderabad 2009
Assistant Professor Jul 2009 – Present
G Narayanamma Institute of Technology & Science for Women | Department of Electronics and Communications Engineering

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Co-Authors (2)

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Mr Y Rakesh Kumar

G Narayanamma Institute of Technology & Science for Women

Scholarly Work

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An Artificial Intelligence Enabled Cryptography Based Financial Analytical Tool

Dr. Sakthi G
Engineering and Technology Patent No. : 202111036657 Filed : 13-08-2021
Published : 03-09-2021 Published

Scholarly Publications

Mushroom Disease Detection and Classification Using Machine Learning Techniques

Open Access
Conference Paper
Year: 2024.
Authors: Rakesh Kumar Y.;Chandrashekar V.;Vemula N.
DOI 10.1109/ICDECS59733.2023.10503469

Mushroom Decay Detection using Deep Learning

Open Access
article
Year: 2023. Volume: 11 , Pages: 425-430 .
Authors: Y. Rakesh Kumar, V. Venkata Laxmi Priya, R. Swathi, K. Priyanka, G. Vyshnavi

Dragon Fruit Stem Disease Detection Using Image Processing

Open Access
conference paper
Year: 2023. Volume: 1447 , Pages: 481-490 .
Authors: Rakesh Kumar, Y., Satyanarayana Goud, P., Radha Krishna, V., Arrabotu, C.S., Samhitha Reddy, V., Sahithi
DOI 10.1007/978-981-99-1588-0_41

Comparative Analysis of Image Segmentation Methods for Mushroom Diseases Detection

Open Access
conference paper
Year: 2023. Volume: 313 , Pages: 653-664 .
Authors: Rakesh Kumar, Y., Chandrasekhar, V
DOI 10.1007/978-981-19-8669-7_59

Semantic Segmentation of Diseases in Mushrooms using Enhanced Random Forest

Open Access
article
Year: 2023. Volume: 32 , Pages: 129-146 .
Authors: Y. Rakesh kumar, Dr V Chandra Sekhar
DOI 10.22630/MGV.2023.32.2.7

Machine Learning Methods to Classify Mushrooms for Edibility-A Review

Open Access
article
Year: 2023. Volume: 6 , Pages: 54-58 .
Authors: Rakesh Kumar Y and Dr. V. Chandrasekhar

Night Vision Thermal sensor based Animal Movement Observation using CNN and YOLO v3

Open Access
article
Year: 2023. Volume: 12 , Pages: 50-56 .
Authors: Y. Rakesh Kumar, Donthula Bhavana Yadav, K. Jagruthi, K. Laxmi

IoT basesd underground cable fault detection

Open Access
article
Year: 2023. Volume: 10 , Pages: F102-F105 .
Authors: Rakesh kumar Y, M vani, N Ushakiran