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Madhuviswanatham Vankadara
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2020 – today
- 2024
- [j16]Novy Jacob
, V. Madhu Viswanatham
Sentiment Analysis Using Improved Atom Search Optimizer With a Simulated Annealing and ReLU Based Gated Recurrent Unit. IEEE Access 12: 38944-38956 (2024) - [j15]P. Vasanthi
Federated Learning for Multimodal Sentiment Analysis: Advancing Global Models With an Enhanced LinkNet Architecture. IEEE Access 12: 175218-175239 (2024) - [j14]P. Vasanthi, Madhu Viswanatham V.:
Sentiment analysis of multi social media using machine and deep learning models: a review. Multim. Tools Appl. 83(42): 90033-90051 (2024) - [j13]G. Jagadeesh, M. Pounambal, K. ArivuSelvan, E. Sathiyamoorthy, J. Vellingiri, V. Madhu Viswanatham, Celestine Iwendi:
Federated recurrent-based adaptive battle royale algorithm for privacy-preserving data aggregation in industrial IoT: a signal, image, and video processing perspective. Signal Image Video Process. 18(5): 4395-4406 (2024) - 2022
- [j12]Jyothimon Chandran, V. Madhu Viswanatham
Dynamic node influence tracking based influence maximization on dynamic social networks. Microprocess. Microsystems 95: 104689 (2022) - [i2]Jyothimon Chandran, Madhuviswanatham Vankadara:
An effective and efficient label initialization method based on similarity for community detection in networks. CoRR abs/2201.06089 (2022) - 2021
- [j11]Jyothimon Chandran
A Novel Triangle Count-Based Influence Maximization Method on Social Networks. Int. J. Knowl. Syst. Sci. 12(4): 92-108 (2021) - [j10]Parameswar Kanuparthi, Vaibhav Bejgam, V. Madhu Viswanatham:
A Novel Approach of Ensembling the Transfer Learning Methods for Rice Plant Disease Detection and Classification. Webology 18(2): 439-448 (2021) - [i1]Rajat Gupta, Madhu Viswanatham V., Manikandan K:
An Innovative Security Strategy using Reactive Web Application Honeypot. CoRR abs/2105.04773 (2021) - 2020
- [j9]Srinivas Koppu, V. Madhu Viswanatham:
An efficient image system-based grey wolf optimiser method for multimedia image security using reduced entropy-based 3D chaotic map. Int. J. Comput. Aided Eng. Technol. 13(3): 291-305 (2020) - [j8]Farooq Sunar Mahammad
Performance analysis of data compression algorithms for heterogeneous architecture through parallel approach. J. Supercomput. 76(4): 2275-2288 (2020)
2010 – 2019
- 2019
- [j7]Aditya Duneja, Thendral Puyalnithi, Madhu Viswanatham Vankadara
Analysis of inter-concept dependencies in disease diagnostic cognitive maps using recurrent neural network and genetic algorithms in time series clinical data for targeted treatment. J. Ambient Intell. Humaniz. Comput. 10(10): 3915-3923 (2019) - 2018
- [j6]Srinivas Koppu, V. Madhu Viswanatham
Medical image security enhancement using two dimensional chaotic mapping optimized by self-adaptive grey wolf algorithm. Evol. Intell. 11(1-2): 53-71 (2018) - [j5]Thendral Puyalnithi, Madhuviswanatham Vankadara
A Unified Feature Selection Model for High Dimensional Clinical Data Using Mutated Binary Particle Swarm Optimization and Genetic Algorithm. Int. J. Heal. Inf. Syst. Informatics 13(4): 1-14 (2018) - [c2]Vankadara Saritha, P. Venkata Krishna
Efficient Multipath Routing Protocol with Quality of Service for Mobile Ad Hoc Networks. ICC 2018: 1-6 - 2017
- [j4]Sanjiban Sekhar Roy, V. Madhu Viswanatham, P. Venkata Krishna:
An ensemble design approach based on bagging technique for filtering e-mail spam. Int. J. Auton. Adapt. Commun. Syst. 10(3): 247-260 (2017) - [j3]Sudha Senthilkumar, V. Madhu Viswanatham:
HB-PPAC: hierarchy-based privacy preserving access control technique in public cloud. Int. J. High Perform. Comput. Netw. 10(1/2): 13-22 (2017) - 2014
- [j2]Vankadara Saritha, V. Madhu Viswanatham
Approach for channel reservation and allocation to improve quality of service in vehicular communications. IET Networks 3(2): 150-159 (2014) - [j1]Vankadara Saritha, V. Madhu Viswanatham
An efficient cross layer based channel reservation method for vehicular networks. Int. J. Commun. Syst. 27(12): 4249-4264 (2014) - 2013
- [c1]Sanjiban Sekhar Roy, V. Madhu Viswanatham, P. Venkata Krishna
Applicability of Rough Set Technique for Data Investigation and Optimization of Intrusion Detection System. QSHINE 2013: 479-484
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