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R. Rathipriya 0001
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- affiliation: Periyar University, Department of Computer Science, Salem, India
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2020 – today
- 2024
- [j17]Suyel Namasudra, Dhamodharavadhani S., R. Rathipriya, Rubén González Crespo, Nageswara Rao Moparthi:
Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data. Big Data 12(2): 83-99 (2024) - 2023
- [j16]Dhamodharavadhani S., R. Rathipriya:
Enhanced regression model using cluster based sampling techniques. J. Intell. Fuzzy Syst. 44(2): 3059-3069 (2023) - [j15]R. Rathipriya, Abdul Aziz Abdul Rahman, Dhamodharavadhani S., Abdelrhman Meero, G. Yoganandan:
Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model. Neural Comput. Appl. 35(2): 1945-1957 (2023) - [j14]Suyel Namasudra, Dhamodharavadhani S., R. Rathipriya:
Nonlinear Neural Network Based Forecasting Model for Predicting COVID-19 Cases. Neural Process. Lett. 55(1): 171-191 (2023) - [j13]Sivabalan Settu, Rathipriya Ramalingam:
Efficient Energy Resource Selection in Home Area Sensor Networks using Non Swarm Intelligence Based Discrete Venus Flytrap Search Optimization Algorithm. Wirel. Pers. Commun. 128(1): 249-265 (2023) - 2022
- [j12]V. Diviya Prabha, R. Rathipriya:
Competitive Capsule Network Based Sentiment Analysis on Twitter COVID'19 Vaccines. J. Web Eng. 21(5) (2022) - [j11]R. Gowri, R. Rathipriya:
Non-swarm-based computational approach for mining cancer drug target modules in protein interaction network. Medical Biol. Eng. Comput. 60(7): 1947-1976 (2022) - 2021
- [j10]R. Gowri, R. Rathipriya:
Non-swarm intelligence algorithms: a case study. Computing 103(8): 1815-1857 (2021) - [j9]Rathipriya Ramalingam, Sivabalan Settu:
Energy Resource Optimization for Home Area Sensor Networks Using Discrete Venus Flytrap Algorithm. Int. J. Appl. Metaheuristic Comput. 12(4): 47-61 (2021) - [j8]Dhamodharavadhani S., R. Rathipriya:
Novel COVID-19 Mortality Rate Prediction (MRP) Model for India Using Regression Model With Optimized Hyperparameter. J. Cases Inf. Technol. 23(4): 1-12 (2021)
2010 – 2019
- 2016
- [j7]R. Gowri, R. Rathipriya:
Protein Motif Comparator using PSO K-Means. Int. J. Appl. Metaheuristic Comput. 7(3): 56-68 (2016) - [j6]R. Rathipriya:
A Novel Evolutionary Biclustering Approach using MapReduce(EBC-MR). Int. J. Knowl. Discov. Bioinform. 6(1): 26-36 (2016) - [j5]R. Gowri, R. Rathipriya:
Local Optima Avoidance in GA Biclustering using Map Reduce. Int. J. Knowl. Discov. Bioinform. 6(1): 37-47 (2016) - 2015
- [i5]R. Gowri, R. Rathipriya:
Extraction of Protein Sequence Motif Information using PSO K-Means. CoRR abs/1504.02235 (2015) - 2014
- [i4]R. Rathipriya, K. Thangavel:
Extraction of Web Usage Profiles using Simulated Annealing Based Biclustering Approach. CoRR abs/1412.8099 (2014) - 2013
- [j4]J. Bagyamani, K. Thangavel, R. Rathipriya:
Biclustering of gene expression data based on hybrid genetic algorithm. Int. J. Data Min. Model. Manag. 5(4): 333-350 (2013) - 2012
- [j3]R. Rathipriya, K. Thangavel:
A Discrete Artificial Bees Colony Inspired Biclustering Algorithm. Int. J. Swarm Intell. Res. 3(1): 30-42 (2012) - 2011
- [j2]R. Rathipriya, K. Thangavel, J. Bagyamani:
Usage Profile Generation from Web Usage Data Using Hybrid Biclustering Algorithm. Int. J. Appl. Evol. Comput. 2(4): 37-49 (2011) - [j1]R. Rathipriya, K. Thangavel, J. Bagyamani:
Extraction of Target User Group from Web Usage Data Using Evolutionary Biclustering Approach. Int. J. Appl. Metaheuristic Comput. 2(3): 69-79 (2011) - [i3]R. Rathipriya, K. Thangavel, J. Bagyamani:
Evolutionary Biclustering of Clickstream Data. CoRR abs/1106.2312 (2011) - [i2]R. Rathipriya, K. Thangavel, J. Bagyamani:
Binary Particle Swarm Optimization based Biclustering of Web usage Data. CoRR abs/1108.0748 (2011) - [i1]R. Rathipriya, K. Thangavel:
A Fuzzy Co-Clustering approach for Clickstream Data Pattern. CoRR abs/1109.6726 (2011) - 2010
- [c1]J. Bagyamani, K. Thangavel, R. Rathipriya:
Extraction of Optimal Biclusters from Gene Expression Data. ICT 2010: 380-383
Coauthor Index
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last updated on 2024-05-08 21:48 CEST by the dblp team
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