Rojalina Priyadarshini

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Logistic Regression

Machine Learning

Top Venues

Int. J. Appl. Metaheuristic Comput.

Comput. Intell. Neurosci.

Publications

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 (2024)
Rawaa Alatrash, Rojalina Priyadarshini, Hadi Ezaldeen
Collaborative filtering integrated fine-grained sentiment for hybrid recommender system. J. Supercomput. 80 (4) (2024)
Sudhansu R. Lenka, Sukant Kishoro Bisoy, Rojalina Priyadarshini
Multiple optimized ensemble learning for high-dimensional imbalanced credit scoring datasets. Knowl. Inf. Syst. 66 (9) (2024)
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 (2024)
Meenakshi Kandpal, Veena Goswami, Rojalina Priyadarshini, Rabindra Kumar Barik
Towards Data Storage, Scalability, and Availability in Blockchain Systems: A Bibliometric Analysis. Data 8 (10) (2023)
Rawaa Alatrash, Rojalina Priyadarshini
Fine-grained Sentiment-enhanced Collaborative Filtering-based Hybrid Recommender System. J. Web Eng. 22 (7) (2023)
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 (2022)
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) (2022)
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 (2022)
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 (2022)
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) (2022)
Rawaa Alatrash, Rojalina Priyadarshini, Hadi Ezaldeen, Akram Alhinnawi
A Hybrid Recommendation Integrating Semantic Learner Modelling and Sentiment Multi-Classification. J. Web Eng. 21 (4) (2022)
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) (2022)
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)
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) (2021)
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)
Hadi Ezaldeen, Rachita Misra, Rawaa Alatrash, Rojalina Priyadarshini
Semantically enhanced machine learning approach to recommend e-learning content. Int. J. Electron. Bus. 15 (4) (2020)
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) (2018)
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) (2018)
Rojalina Priyadarshini, Rabindra Kumar Barik, Harishchandra Dubey
Fog Computing-Based Deep Neural Architecture for Prediction of Stress Types, Diabetes and Hypertension Attacks. Comput. 6 (4) (2018)
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) (2017)
Rabindra K. Barik, Rojalina Priyadarshini, Harishchandra Dubey, Vinay Kumar, Kunal Mankodiya
FogLearn: Leveraging Fog-based Machine Learning for Smart System Big Data Analytics. CoRR (2017)
Rabindra K. Barik, Rojalina Priyadarshini, Nilamadhab Dash
A Meta-Heuristic Model for Data Classification Using Target Optimization. Int. J. Appl. Metaheuristic Comput. 8 (3) (2017)
Swastik Padhi, Mayank Tiwary, Rojalina Priyadarshini, Chhabi Rani Panigrahi, Rachita Misra
SecOMN: Improved security approach for Opportunistic Mobile Networks using cyber foraging. RAIT (2016)
Mohit Ranjan Panda, Rojalina Priyadarshini, Saroj Pradhan
An Optimal Path Planning for Multiple Mobile Robots Using AIS and GA: A Hybrid Approach. MIKE (2015)