Rojalina Priyadarshini

According to our database, Rojalina Priyadarshini authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multiple optimized ensemble learning for high-dimensional imbalanced credit scoring datasets.

Sudhansu R. Lenka, Sukant Kishoro Bisoy, Rojalina Priyadarshini

Knowl. Inf. Syst., September, 2024

A systematic state-of-art review on digital identity challenges with solutions using conjugation of IOT and blockchain in healthcare.

Sanjay Kumar Jena, Ram Chandra Barik, Rojalina Priyadarshini

Internet Things, April, 2024

Collaborative filtering integrated fine-grained sentiment for hybrid recommender system.

Rawaa Alatrash, Rojalina Priyadarshini, Hadi Ezaldeen

J. Supercomput., March, 2024

A secure, privacy-preserving, and cost-efficient decentralized cloud storage framework using blockchain.

Swatisipra Das, Minati Mishra, Rojalina Priyadarshini, Rabindra Kumar Barik, Manob Jyoti Saikia

J. King Saud Univ. Comput. Inf. Sci., 2024

An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images.

Santosh Kumar Sharma, Debendra Muduli, Rojalina Priyadarshini, Rakesh Ranjan Kumar, Abhinav Kumar, Jitesh Pradhan

Eng. Appl. Artif. Intell., 2024

Evolutionary-Based Multi-Objective and Conditional Generative Adversarial Networks for Credit Scoring.

Sudhansu R. Lenka, Sukant Kishoro Bisoy, Rojalina Priyadarshini, Kueh Lee Hui, Mangal Sain

IEEE Access, 2024

Efficient Implementation of Entity On-Boarding and Authentication in Zero-Trust Systems.

Jayashree Rana, Pramod Kumar Meher, Rojalina Priyadarshini, K. Pratyush Rao

Proceedings of the IEEE International Conference on Public Key Infrastructure and its Applications, 2024

2023

Fine-grained Sentiment-enhanced Collaborative Filtering-based Hybrid Recommender System.

Rawaa Alatrash, Rojalina Priyadarshini

J. Web Eng., 2023

Towards Data Storage, Scalability, and Availability in Blockchain Systems: A Bibliometric Analysis.

Meenakshi Kandpal, Veena Goswami, Rojalina Priyadarshini, Rabindra Kumar Barik

Data, 2023

2022

A hybrid E-learning recommendation integrating adaptive profiling and sentiment analysis.

Hadi Ezaldeen, Rachita Misra, Sukant Kishoro Bisoy, Rawaa Alatrash, Rojalina Priyadarshini

J. Web Semant., 2022

Correction to: Feedback through emotion extraction using logistic regression and CNN.

Mohit Ranjan Panda, Sarthak Saurav Kar, Aakash Kumar Nanda, Rojalina Priyadarshini, Susmita Panda, Sukant Kishoro Bisoy

Vis. Comput., 2022

Feedback through emotion extraction using logistic regression and CNN.

Mohit Ranjan Panda, Sarthak Saurav Kar, Aakash Kumar Nanda, Rojalina Priyadarshini, Susmita Panda, Sukant Kishoro Bisoy

Vis. Comput., 2022

A Hybrid Recommendation Integrating Semantic Learner Modelling and Sentiment Multi-Classification.

Rawaa Alatrash, Rojalina Priyadarshini, Hadi Ezaldeen, Akram Alhinnawi

J. Web Eng., 2022

A deep learning based intelligent framework to mitigate DDoS attack in fog environment.

Rojalina Priyadarshini, Rabindra Kumar Barik

J. King Saud Univ. Comput. Inf. Sci., 2022

Augmented language model with deep learning adaptation on sentiment analysis for E-learning recommendation.

Rawaa Alatrash, Rojalina Priyadarshini, Hadi Ezaldeen, Akram Alhinnawi

Cogn. Syst. Res., 2022

Intelligent Semantic Segmentation for Self-Driving Vehicles Using Deep Learning.

Qusay Sellat, Sukant Kishoro Bisoy, Rojalina Priyadarshini, Ankit Vidyarthi, Sandeep Kautish, Rabindra K. Barik

Comput. Intell. Neurosci., 2022

An Improvised Way To Automate Logistic Payment Block Process: A Case Study on R-Payment Block.

Sanjib Kumar Mishra, Sasmita Mishra, Rojalina Priyadarshini

Proceedings of the OITS International Conference on Information Technology, 2022

2021

A Survey of Fog Computing-Based Healthcare Big Data Analytics and Its Security.

Rojalina Priyadarshini, Rabindra Kumar Barik, Harishchandra Dubey, Brojo Kishore Mishra

Int. J. Ambient Comput. Intell., 2021

2020

Semantically enhanced machine learning approach to recommend e-learning content.

Hadi Ezaldeen, Rachita Misra, Rawaa Alatrash, Rojalina Priyadarshini

Int. J. Electron. Bus., 2020

Fog-SDN: A light mitigation scheme for DDoS attack in fog computing framework.

Rojalina Priyadarshini, Rabindra Kumar Barik, Harishchandra Dubey

Int. J. Commun. Syst., 2020

2018

An Investigation Into the Efficacy of Deep Learning Tools for Big Data Analysis in Health Care.

Rojalina Priyadarshini, Rabindra K. Barik, Chhabi Rani Panigrahi, Harishchandra Dubey, Brojo Kishore Mishra

Int. J. Grid High Perform. Comput., 2018

FogLearn: Leveraging Fog-Based Machine Learning for Smart System Big Data Analytics.

Rabindra K. Barik, Rojalina Priyadarshini, Harishchandra Dubey, Vinay Kumar, Kunal Mankodiya

Int. J. Fog Comput., 2018

<i>DeepFog: </i> Fog Computing-Based Deep Neural Architecture for Prediction of Stress Types, Diabetes and Hypertension Attacks.

Rojalina Priyadarshini, Rabindra Kumar Barik, Harishchandra Dubey

Comput., 2018

2017

A Hybrid GSA-K-Mean Classifier Algorithm to Predict Diabetes Mellitus.

Rojalina Priyadarshini, Rabindra K. Barik, Nilamadhab Dash, Brojo Kishore Mishra, Rachita Misra

Int. J. Appl. Metaheuristic Comput., 2017

A Meta-Heuristic Model for Data Classification Using Target Optimization.

Rabindra K. Barik, Rojalina Priyadarshini, Nilamadhab Dash

Int. J. Appl. Metaheuristic Comput., 2017

2016

SecOMN: Improved security approach for Opportunistic Mobile Networks using cyber foraging.

Swastik Padhi, Mayank Tiwary, Rojalina Priyadarshini, Chhabi Rani Panigrahi, Rachita Misra

Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

2015

An Optimal Path Planning for Multiple Mobile Robots Using AIS and GA: A Hybrid Approach.

Mohit Ranjan Panda, Rojalina Priyadarshini, Saroj Kumar Pradhan

Proceedings of the Mining Intelligence and Knowledge Exploration, 2015