Rojalina Priyadarshini
Rojalina Priyadarshini
Assistant Professor
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Cited by
Cited by
Functional analysis of artificial neural network for dataset classification
R Priyadarshini, N Dash, T Swarnkar, R Misra
Special Issue of IJCCT 1 (2), 49-54, 2010
A Novel approach to predict diabetes mellitus using modified Extreme learning machine
R Priyadarshini, N Dash, R Mishra
2014 International Conference on Electronics and Communication Systems …, 2014
FogLearn: leveraging fog-based machine learning for smart system big data analytics
RK Barik, R Priyadarshini, H Dubey, V Kumar, K Mankodiya
International Journal of Fog Computing (IJFC) 1 (1), 15-34, 2018
An investigation into the efficacy of deep learning tools for big data analysis in health care
R Priyadarshini, RK Barik, C Panigrahi, H Dubey, BK Mishra
Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and …, 2020
A deep learning based intelligent framework to mitigate DDoS attack in fog environment
R Priyadarshini, RK Barik
Journal of King Saud University-Computer and Information Sciences, 2019
An intelligent software defined network controller for preventing distributed denial of service attack
A Prakash, R Priyadarshini
2018 Second International Conference on Inventive Communication and …, 2018
Cluster head selection based on minimum connected dominating set and bi-partite inspired methodology for energy conservation in WSNs
RR Priyadarshini, N Sivakumar
Journal of King Saud University-Computer and Information Sciences, 2018
Deepfog: Fog computing-based deep neural architecture for prediction of stress types, diabetes and hypertension attacks
R Priyadarshini, RK Barik, H Dubey
Computation 6 (4), 62, 2018
A faster and intelligent steganography detection using Graphics Processing Unit in cloud
M Tiwary, R Priyadarshini, R Misra
2014 International Conference on High Performance Computing and Applications …, 2014
Autonomous mobile robot path planning using hybridization of particle swarm optimization and Tabu search
MR Panda, R Priyadarshini, SK Pradhan
2016 IEEE International Conference on Computational Intelligence and …, 2016
Leveraging machine learning in mist computing telemonitoring system for diabetes prediction
RK Barik, R Priyadarshini, H Dubey, V Kumar, S Yadav
Advances in Data and Information Sciences, 95-104, 2018
Biotransformation and detoxification of a greater tinctorial textile colorant using an isolated bacterial strain
MA Kumar, R Priyadarshini, D Nilavunesan, M Seenuvasan, VV Kumar, ...
Journal of Environmental Biology 37 (6), 1497, 2016
An ANN model to classify multinomial datasets with optimized target using particle swarm optimization technique
N Dash, R Priyadarshini, R Misra
Computational Intelligence in Data Mining-Volume 1, 355-364, 2015
A hybrid GSA-K-mean classifier algorithm to predict diabetes mellitus
R Priyadarshini, RK Barik, N Dash, BK Mishra, R Misra
Cognitive Analytics: Concepts, Methodologies, Tools, and Applications, 589-603, 2020
Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making
AK Sangaiah, XZ Gao, A Abraham
IGI Global, 2016
SecOMN: Improved security approach for Opportunistic Mobile Networks using cyber foraging
S Padhi, M Tiwary, R Priyadarshini, CR Panigrahi, R Misra
2016 3rd International Conference on Recent Advances in Information …, 2016
An Improvised Backpropagation Neural Network Model Based on Gravitational Search Algorithm for Multinomial Classification
R Priyadarshini, MR Panda, N Dash
Proceedings of the International Conference on Computing and Communication …, 2018
Handbook of research on computational intelligence applications in bioinformatics
S Dash, B Subudhi
IGI Global, 2016
A novel approach towards facial skin detection using back propagation neural network
S Rout, R Priyadarshini, M Patnaik, N Dash
Compusoft 2 (12), 433, 2013
Fog‐SDN: A light mitigation scheme for DDoS attack in fog computing framework
R Priyadarshini, R Kumar Barik, H Dubey
International Journal of Communication Systems 33 (9), e4389, 2020
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