Rakesh ece
VIDWAN ID: 472053

Rakesh ece

Male Doctor of Philosophy
Assistant Professor
G.Narayanamma Institute of Technology & Science for Women
Telangana
Expertise: Computer Science Artificial Intelligence
15 Publications
0 Projects
52 Scopus Citations
51 CrossRef
17 Years 2 Months Total Experience
Publications
15 Total
Articles
10
Chapters
1
Proceedings
4
Activity

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Scopus Scopus
52 Citations
3 h-index
CrossRef CrossRef
51 Citations
3 h-index
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Professional Recognition

IEAE Young Achiever Award
2018
Institute of scholar
Best Senior faculty
2021
Novel Research Academy
IETE 2nd Best Faculty coordinator
2023
IETE Hyderabad centre

Community & Membership

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IETE
Fellow
Jan 2021
INSC
Member INSC20180351
Jan 2018

Personal Details

Doctor of Philosophy
2009
Defence Research & Development Organisation
Assistant Professor
Jul 2009 – Present
G.Narayanamma Institute of Technology & Science for Women
Engineering and Technology
Computer Science Artificial Intelligence

Related Profiles

Scholarly Work

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An Artificial Intelligence Enabled Cryptography Based Financial Analytical Tool

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

Scholarly Publications

Analysis of hard-decision and soft-data fusion schemes for cooperative spectrum sensing in rayleigh fading channel

Conference Paper
Year: 2017. Pages: 220-225 .
Authors: Srinivas Nallagonda; Y. Rakesh Kumar; Pasham Shilpa

Impact of time-bandwidth product on cooperative spectrum sensing over AWGN and fading channels

Conference Paper
Year: 2017. Volume: 2018-January , Pages: 1-7 .
Authors: Y Rakesh Kumar; Pasham Shilpa; Srinivas Nallagonda

Semantic segmentation of diseases in mushrooms using Enhanced Random Forest

Open Access
Journal Article
Year: 2023. Volume: 32 , Issue: 2 , Pages: 129-146 .
Authors: Rakesh Kumar Yacharam; V. Chandra Sekhar

Comparative Analysis of Image Segmentation Methods for Mushroom Diseases Detection

Book Chapter
Year: 2023. Pages: 653-664 .
Authors: Y. Rakesh Kumar; V. Chandrasekhar

Haze-level prior approach to enhance object visibility under atmospheric degradation

Open Access
Journal Article
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. Year: 2021. Volume: 29 , Issue: 2 , Pages: 994-1014 .
Authors: Vijaya Lakshmi THIRUMALA; Venkata SatyaNarayana KARANAM; Pratap Reddy LANKIREDDY; Aruna Kumari KAKUMANI; Rakesh Kumar YACHARAM

Dehaze Model to Improve Object Visibility Under Atmospheric Degradation

Conference Paper
Year: 2020.

A Review Paper on Games Designed & Implemented on FPGA

Journal Article
Year: 2020.

Machine Learning Methods to Classify Mushrooms for Edibility-A Review

Journal Article
Year: 2020.
Showing 1 to 8 of 15 publications