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ORCIDRojalina Priyadarshini
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2020 – today
- 2024
[j22]Sudhansu R. Lenka, Sukant Kishoro Bisoy, Rojalina Priyadarshini, Kueh Lee Hui, Mangal Sain:
Evolutionary-Based Multi-Objective and Conditional Generative Adversarial Networks for Credit Scoring. IEEE Access 12: 158346-158366 (2024)- [j21]Santosh Kumar Sharma, Debendra Muduli, Rojalina Priyadarshini
, Rakesh Ranjan Kumar, Abhinav Kumar, Jitesh Pradhan:
An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images. Eng. Appl. Artif. Intell. 128: 107449 (2024) - [j20]Sanjay Kumar Jena, Ram Chandra Barik, Rojalina Priyadarshini:
A systematic state-of-art review on digital identity challenges with solutions using conjugation of IOT and blockchain in healthcare. Internet Things 25: 101111 (2024) - [j19]Sudhansu R. Lenka, Sukant Kishoro Bisoy, Rojalina Priyadarshini:
Multiple optimized ensemble learning for high-dimensional imbalanced credit scoring datasets. Knowl. Inf. Syst. 66(9): 5429-5457 (2024) - [j18]Rawaa Alatrash, Rojalina Priyadarshini, Hadi Ezaldeen:
Collaborative filtering integrated fine-grained sentiment for hybrid recommender system. J. Supercomput. 80(4): 4760-4807 (2024) - [c4]Jayashree Rana, Pramod Kumar Meher, Rojalina Priyadarshini, K. Pratyush Rao:
Efficient Implementation of Entity On-Boarding and Authentication in Zero-Trust Systems. PKIA 2024: 1-6 - 2023
- [j17]Meenakshi Kandpal, Veena Goswami, Rojalina Priyadarshini, Rabindra Kumar Barik:
Towards Data Storage, Scalability, and Availability in Blockchain Systems: A Bibliometric Analysis. Data 8(10): 148 (2023) - [j16]Rawaa Alatrash, Rojalina Priyadarshini:
Fine-grained Sentiment-enhanced Collaborative Filtering-based Hybrid Recommender System. J. Web Eng. 22(7): 983-1036 (2023) - 2022
- [j15]Qusay Sellat, Sukant Kishoro Bisoy, Rojalina Priyadarshini, Ankit Vidyarthi, Sandeep Kautish, Rabindra K. Barik:
Intelligent Semantic Segmentation for Self-Driving Vehicles Using Deep Learning. Comput. Intell. Neurosci. 2022: 6390260:1-6390260:10 (2022) - [j14]Rawaa Alatrash, Rojalina Priyadarshini, Hadi Ezaldeen, Akram Alhinnawi:
Augmented language model with deep learning adaptation on sentiment analysis for E-learning recommendation. Cogn. Syst. Res. 75: 53-69 (2022) - [j13]Rojalina Priyadarshini, Rabindra Kumar Barik:
A deep learning based intelligent framework to mitigate DDoS attack in fog environment. J. King Saud Univ. Comput. Inf. Sci. 34(3): 825-831 (2022) - [j12]Rawaa Alatrash, Rojalina Priyadarshini, Hadi Ezaldeen, Akram Alhinnawi:
A Hybrid Recommendation Integrating Semantic Learner Modelling and Sentiment Multi-Classification. J. Web Eng. 21(4): 941-988 (2022) - [j11]Mohit Ranjan Panda, Sarthak Saurav Kar, Aakash Kumar Nanda, Rojalina Priyadarshini, Susmita Panda, Sukant Kishoro Bisoy:
Feedback through emotion extraction using logistic regression and CNN. Vis. Comput. 38(6): 1975-1987 (2022) - [j10]Mohit Ranjan Panda, Sarthak Saurav Kar, Aakash Kumar Nanda, Rojalina Priyadarshini, Susmita Panda, Sukant Kishoro Bisoy:
Correction to: Feedback through emotion extraction using logistic regression and CNN. Vis. Comput. 38(6): 1989 (2022) - [j9]Hadi Ezaldeen, Rachita Misra, Sukant Kishoro Bisoy, Rawaa Alatrash, Rojalina Priyadarshini:
A hybrid E-learning recommendation integrating adaptive profiling and sentiment analysis. J. Web Semant. 72: 100700 (2022) - [c3]Sanjib Kumar Mishra, Sasmita Mishra, Rojalina Priyadarshini:
An Improvised Way To Automate Logistic Payment Block Process: A Case Study on R-Payment Block. OCIT 2022: 1-5 - 2021
- [j8]Rojalina Priyadarshini, Rabindra Kumar Barik, Harishchandra Dubey, Brojo Kishore Mishra:
A Survey of Fog Computing-Based Healthcare Big Data Analytics and Its Security. Int. J. Ambient Comput. Intell. 12(2): 53-72 (2021) - 2020
- [j7]Rojalina Priyadarshini, Rabindra Kumar Barik, Harishchandra Dubey:
Fog-SDN: A light mitigation scheme for DDoS attack in fog computing framework. Int. J. Commun. Syst. 33(9) (2020) - [j6]Hadi Ezaldeen, Rachita Misra, Rawaa Alatrash, Rojalina Priyadarshini:
Semantically enhanced machine learning approach to recommend e-learning content. Int. J. Electron. Bus. 15(4): 389-413 (2020)
2010 – 2019
- 2018
- [j5]Rojalina Priyadarshini, Rabindra Kumar Barik, Harishchandra Dubey:
DeepFog: Fog Computing-Based Deep Neural Architecture for Prediction of Stress Types, Diabetes and Hypertension Attacks. Comput. 6(4): 62 (2018) - [j4]Rabindra K. Barik, Rojalina Priyadarshini, Harishchandra Dubey, Vinay Kumar, Kunal Mankodiya:
FogLearn: Leveraging Fog-Based Machine Learning for Smart System Big Data Analytics. Int. J. Fog Comput. 1(1): 15-34 (2018) - [j3]Rojalina Priyadarshini, Rabindra K. Barik, Chhabi Rani Panigrahi, Harishchandra Dubey, Brojo Kishore Mishra:
An Investigation Into the Efficacy of Deep Learning Tools for Big Data Analysis in Health Care. Int. J. Grid High Perform. Comput. 10(3): 1-13 (2018) - 2017
- [j2]Rabindra K. Barik, Rojalina Priyadarshini, Nilamadhab Dash:
A Meta-Heuristic Model for Data Classification Using Target Optimization. Int. J. Appl. Metaheuristic Comput. 8(3): 24-36 (2017) - [j1]Rojalina Priyadarshini, Rabindra K. Barik, Nilamadhab Dash, Brojo Kishore Mishra, Rachita Misra:
A Hybrid GSA-K-Mean Classifier Algorithm to Predict Diabetes Mellitus. Int. J. Appl. Metaheuristic Comput. 8(4): 99-112 (2017) - [i1]Rabindra K. Barik, Rojalina Priyadarshini, Harishchandra Dubey, Vinay Kumar, Kunal Mankodiya:
FogLearn: Leveraging Fog-based Machine Learning for Smart System Big Data Analytics. CoRR abs/1712.09282 (2017) - 2016
- [c2]Swastik Padhi, Mayank Tiwary, Rojalina Priyadarshini, Chhabi Rani Panigrahi, Rachita Misra:
SecOMN: Improved security approach for Opportunistic Mobile Networks using cyber foraging. RAIT 2016: 415-421 - 2015
- [c1]Mohit Ranjan Panda, Rojalina Priyadarshini, Saroj Pradhan:
An Optimal Path Planning for Multiple Mobile Robots Using AIS and GA: A Hybrid Approach. MIKE 2015: 334-346
Coauthor Index
aka: Rabindra Kumar Barik
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