| 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 34 (3 …, 2022 | 171 | 2022 |
| A hybrid E-learning recommendation integrating adaptive profiling and sentiment analysis H Ezaldeen, R Misra, SK Bisoy, R Alatrash, R Priyadarshini Journal of Web Semantics 72, 100700, 2022 | 67 | 2022 |
| 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 | 58 | 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 | 57 | 2018 |
| FogLearn: leveraging fog-based machine learning for smart system big data analytics RK Barik, R Priyadarshini, H Dubey, V Kumar, K Mankodiya Geospatial Intelligence: Concepts, Methodologies, Tools, and Applications …, 2019 | 54 | 2019 |
| 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 | 44 | 2014 |
| A Robust Intrusion Detection System using Ensemble Machine Learning S Divakar, R Priyadarshini, BK Mishra 2020 IEEE International Women in Engineering (WIE) Conference on Electrical …, 2020 | 38 | 2020 |
| 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 | 35 | 2020 |
| Augmented language model with deep learning adaptation on sentiment analysis for E-learning recommendation R Alatrash, R Priyadarshini, H Ezaldeen, A Alhinnawi Cognitive Systems Research 75, 53-69, 2022 | 33 | 2022 |
| Intelligent Semantic Segmentation for Self‐Driving Vehicles Using Deep Learning Q Sellat, SK Bisoy, R Priyadarshini, A Vidyarthi, S Kautish, RK Barik Computational Intelligence and Neuroscience 2022 (1), 6390260, 2022 | 31 | 2022 |
| 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 | 31 | 2020 |
| 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 | 30 | 2010 |
| Smote-DL: a deep learning based plant disease detection method S Divakar, A Bhattacharjee, R Priyadarshini 2021 6th International Conference for Convergence in Technology (I2CT), 1-6, 2021 | 28 | 2021 |
| Empirical analysis of ensemble learning for imbalanced credit scoring datasets: a systematic review SR Lenka, SK Bisoy, R Priyadarshini, M Sain Wireless Communications and Mobile Computing 2022 (1), 6584352, 2022 | 22 | 2022 |
| An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images SK Sharma, D Muduli, R Priyadarshini, RR Kumar, A Kumar, J Pradhan Engineering Applications of Artificial Intelligence 128, 107449, 2024 | 19 | 2024 |
| Sentiment analysis using deep learning for recommendation in E-learning domain R Alatrash, H Ezaldeen, R Misra, R Priyadarshini Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2021 | 18 | 2021 |
| A systematic state-of-art review on digital identity challenges with solutions using conjugation of IOT and blockchain in healthcare SK Jena, RC Barik, R Priyadarshini Internet of Things, 101111, 2024 | 17 | 2024 |
| 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 | 17 | 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: Proceedings of ICDIS-2017, Volume …, 2018 | 15 | 2018 |
| Semantically enhanced machine learning approach to recommend e-learning content H Ezaldeen, R Misra, R Alatrash, R Priyadarshini International Journal of Electronic Business 15 (4), 389-413, 2020 | 13 | 2020 |
RACHITA MISRAVerified email at cvrgi.edu.in
