Anand Mahendran
Anand Mahendran
Post-Doctoral Research Fellow, Laboratory of Theoretical Computer Science, HSE University, Moscow
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Cited by
Cited by
Opinion Mining for text classification
A Mahendran, A Duraiswamy, A Reddy, C Gonsalves
International Journal of Scientific Engineering and Technology 2 (6), 589-594, 2013
Software documentation management issues and practices: A survey
CJ Satish, M Anand
Indian Journal of Science and Technology 9 (20), 1-7, 2016
Matrix insertion-deletion systems for bio-molecular structures
L Kuppusamy, A Mahendran, SN Krishna
International Conference on Distributed Computing and Internet Technology …, 2011
Modelling DNA and RNA secondary structures using matrix insertion-deletion systems
L Kuppusamy, A Mahendran
International Journal of Applied Mathematics and Computer Science 26 (1 …, 2016
Availability modelling of fault tolerant cloud computing system
D Mani, A Mahendran
Int. J. Intell. Eng. Syst 10 (1), 154-165, 2017
Comment spam classification in blogs through comment analysis and comment-blog post relationships
A Rajadesingan, A Mahendran
International Conference on Intelligent Text Processing and Computational …, 2012
The effect of 3D visualization on mainframe application maintenance: A controlled experiment
CJ Satish, A Mahendran
Journal of King Saud University-Computer and Information Sciences 31 (3 …, 2019
Stock prediction using sentiment analysis and long short term memory
H Panday, V Vijayarajan, A Mahendran, A Krishnamoorthy, VB Prasath
European Journal of Molecular & Clinical Medicine 7 (2), 5060-5069, 2020
On representing natural languages and bio-molecular structures using Matrix insertion-deletion systems and its computational completeness
L Kuppusamy, A Mahendran, SN Krishna
Proceedings of BILC-2011, 47-56, 2011
On the Ambiguity and Complexity Measures of Insertion-Deletion Systems
K Krithivasan, L Kuppusamy, A Mahendran
International Conference on Bio-Inspired Models of Network, Information, and …, 2010
On the trade-off between ambiguity and measures in internal contextual grammars
K Lakshmanan, M Anand, K Krithivasan
DCFS, 216-223, 2008
Secure ECG signal transmission for smart healthcare
S Harinee, A Mahendran
International Journal of Performability Engineering, 711-721, 2021
Stock market analysis and prediction using artificial neural network toolbox
A Mahendran, KA Vasavada, R Tuteja, Y Sharma, V Vijayarajan
Embedded Systems and Artificial Intelligence, 559-569, 2020
A novel cryptosystem using dna sequencing and contextual array splicing system for medical internet of things
I Ugandran, A Mahendran, S Anandakumar, M Hamada, WS Alnumay, ...
Computers & Electrical Engineering 96, 107429, 2021
Secured E-commerce transactions through choatic map
BI Mohideen, A Mahendran
2017 4th International Conference on Advanced Computing and Communication …, 2017
The Impact of Visualizing Traceability Links for Evolving Requirements in Software Maintenance–A Controlled Experiment
SC Jayaraman, M Anand
International Journal of Intelligent Engineering and Systems 10 (3), 235-244, 2017
Formal language representation and modelling structures underlying rna folding process
A Mahendran, L Kuppusamy
International Conference on Theoretical Computer Science and Discrete …, 2016
A Study On Various Bio-Inspired Computing Models
A Mahendran, R Govindaraj
Journal of Theoretical and Applied Information Technology 57 (3), 2013
Modelling Intermolecular Structures and Defining Ambiguity in Gene Sequences using Matrix Insertion-Deletion Systems
L Kuppusamy, A Mahendran, ÉV de La Clergerie
Biology, Computation and Linguistics, new interdisciplinary paradigms, 71-82, 2011
An efficient hardware architecture based on an ensemble of deep learning models for COVID-19 prediction
R Sakthivel, IS Thaseen, M Vanitha, M Deepa, M Angulakshmi, ...
Sustainable Cities and Society 80, 103713, 2022
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