Rakkini, Jeyasheela
11  Ergebnisse:
Personensuche X
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1

Deep Network Analysis and Prediction of Ophthalmic Disorder:

, In: 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS),
Darshini, M. ; Hemamalini, M. ; Rakkini, Jeyasheela.. - p. 743-749 , 2022
 
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2

Stochastic Gradient Descent with Selfish Mining Attack Para..:

, In: Lecture Notes in Electrical Engineering; Machine Vision and Augmented Intelligence—Theory and Applications,
Rakkini, Jeyasheela ; Geetha, K. - p. 589-597 , 2021
 
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4

Q‐Learning model for selfish miners with optional stopping ..:

Jeyasheela Rakkini, M.J. ; Geetha, K.
International Transactions in Operational Research.  31 (2023)  6 - p. 3975-3998 , 2023
 
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5

Detection of Bitcoin Miners by Clustering Crypto Address wi..:

, In: Soft Computing: Theories and Applications; Lecture Notes in Networks and Systems,
 
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6

Comprehensive overview on the deployment of machine learnin..:

, In: 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon),
 
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7

Blockchain-Enabled Microfinance Model with Decentralized Au..:

, In: Computer Networks and Inventive Communication Technologies; Lecture Notes on Data Engineering and Communications Technologies,
Jeyasheela Rakkini, M. J. ; Geetha, K. - p. 417-430 , 2021
 
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9

Secure Decentralized Public Key Infrastructure with Multi-s..:

, In: Lecture Notes in Networks and Systems; Inventive Communication and Computational Technologies,
Jeyasheela Rakkini, M. J. ; Geetha, K. - p. 451-461 , 2020
 
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10

A multi-scale and rotation-invariant phase pattern (MRIPP) ..:

Alphonse, A. Sherly ; Shankar, K. ; Jeyasheela Rakkini, M. J....
Journal of Ambient Intelligence and Humanized Computing.  12 (2020)  3 - p. 3447-3463 , 2020
 
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11

Block Mining reward prediction with Polynomial Regression, ..:

Simon Jeyasheela Rakkini ; Geetha K
https://www.itm-conferences.org/articles/itmconf/pdf/2021/02/itmconf_icitsd2021_01004.pdf.  , 2021
 
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