Ms. M. J. Jeyasheela Rakkini .
VIDWAN ID: 427479

Dr Ms. M. J. Jeyasheela Rakkini .

Female Doctor of Philosophy
Assistant Professor | School of Computing
Sastra University
Tamil Nadu
Expertise: Computer Science Artificial Intelligence
10 Publications
0 Projects
39 Scopus Citations
51 CrossRef
15 Years 2 Months Total Experience
Publications
10 Total
Articles
7
Chapters
2
Proceedings
1
Activity

No publication activity to display.

Scopus Scopus
39 Citations
1 h-index
CrossRef CrossRef
51 Citations
4 h-index
Google Scholar Google Scholar

Loading Scholar statistics...

Professional Recognition

No Data Found

There is currently nothing to display here.

Community & Membership

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

Personal Details

Doctor of Philosophy
2010
N/A
Assistant Professor
Jun 2017 – Present
Sastra University | School of Computing
Lecturer
Jun 2011 – Apr 2017
Mookambigai College of Engineering
Engineering and Technology
Computer Science Artificial Intelligence

Related Profiles

Scholarly Work

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

Scholarly Publications

An Unsupervised Method for Intrusion Detection Using Novel Percentage Split Clustering

Conference Paper
Year: 2025. Volume: 2306 CCIS , Pages: 158-170 .
Authors: A. Joy Christy; M. J. Jeyasheela Rakkini; S. Sri Laxmi Narasimhan

A comparative study on Internet of Things (IoT) and its applications in smart agriculture

Journal Article
Pharmacognosy Journal. Year: 2018. Volume: 10 , Issue: 2 , Pages: 260-264 .
Authors: Srilakshmi, A.; Rakkini, J.; Sekar, K.R.; Manikandan, R.

Peripheral Neuropathy Disease analysis through Optimization of Scientific workflows- A survey

Journal Article
Year: 2018.

Q‐Learning model for selfish miners with optional stopping theorem for honest miners

Journal Article
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH. Year: 2024. Volume: 31 , Issue: 6 , Pages: 3975-3998 .
Authors: M.J. Jeyasheela Rakkini; K. Geetha

Deep learning classification of bitcoin miners and exploration of upper confidence bound algorithm with less regret for the selection of honest mining

Journal Article
Journal of Ambient Intelligence and Humanized Computing. Year: 2023. Volume: 14 , Issue: 6 , Pages: 6545-6561 .
Authors: M. J. Jeyasheela Rakkini; K. Geetha

Block Mining reward prediction with Polynomial Regression, Long short-term memory, and Prophet API for Ethereum blockchain miners

Open Access
Journal Article
ITM Web of Conferences. Year: 2021. Volume: 37 , Pages: 01004 .
Authors: Jeyasheela Rakkini Simon; K Geetha

Secure Decentralized Public Key Infrastructure with Multi-signature in Blockchains

Book Chapter
Year: 2021. Pages: 451-461 .
Authors: M. J. Jeyasheela Rakkini; K. Geetha

Stochastic Gradient Descent with Selfish Mining Attack Parameters on Dash Difficulty Adjustment Algorithm

Book Chapter
Year: 2021. Pages: 589-597 .
Authors: Jeyasheela Rakkini; K. Geetha
Showing 1 to 8 of 10 publications