R. Priyadarshini

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RFID

R. Priyadarshini, 2020, Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005)..

DeepFog: Fog Computing-Based Deep Neural Architecture for Prediction of Stress Types, Diabetes and Hypertension Attacks

Rabindra Kumar Barik, Harishchandra Dubey, R. Priyadarshini, 2018, Comput..

Applying CI in Biology through PSO

R. Priyadarshini, B. K. Mishra, Nilamadhab Dash, 2020, Data Analytics in Medicine.

Empirical Analysis of Ensemble Learning for Imbalanced Credit Scoring Datasets: A Systematic Review

S. R. Lenka, M. Sain, R. Priyadarshini, 2022, Wireless Communications and Mobile Computing.

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

R. Priyadarshini, R. Alatrash, H. Ezaldeen, 2022, Cognitive Systems Research.

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

R. Priyadarshini, Rachita Misra, S. Bisoy, 2021, J. Web Semant..

Crystal structural prediction of perovskite materials using machine learning: A comparative study

R. Priyadarshini, H. Joardar, T. Badapanda, 2022, Solid State Communications.

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

Rabindra K. Barik, Rojalina Priyadarshini, Rabindra Kumar Barik, 2019, J. King Saud Univ. Comput. Inf. Sci..

Meta-Heuristic and Non-Meta-Heuristic Energy-Efficient Load Balancing Algorithms in Cloud Computing

Brojo Kishore Mishra, Rojalina Priyadarshini, Rabindra Kumar Barik, 2020 .

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

Brojo Kishore Mishra, Rabindra K. Barik, Rojalina Priyadarshini, 2021, Int. J. Ambient Comput. Intell..

An Intelligent Software defined Network Controller for preventing Distributed Denial of Service Attack

Rojalina Priyadarshini, Aditya Prakash, R. Priyadarshini, 2018, 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT).

Fog Computing Architecture for Scalable Processing of Geospatial Big Data

Rabindra K. Barik, Harishchandra Dubey, Rakesh K. Lenka, 2020 .

Bio-Inspired Computing through Artificial Neural Network

Brojo Kishore Mishra, Rachita Misra, Rojalina Priyadarshini, 2017 .

Intelligent Semantic Segmentation for Self-Driving Vehicles Using Deep Learning

R. Priyadarshini, S. Kautish, Ankit Vidyarthi, 2022, Comput. Intell. Neurosci..

A Novel approach to predict diabetes mellitus using modified Extreme learning machine

Rojalina Priyadarshini, Nilamadhab Dash, Rachita Mishra, 2014, 2014 International Conference on Electronics and Communication Systems (ICECS).

An Improved Machine Learning Model for Stress Categorization

Pradeep Kumar Mallick, Rabindra K. Barik, Rojalina Priyadarshini, 2020 .

AN EXTENSIVE ANALYSIS ON VARIOUS CLUSTERING ALGORITHM IN DATA MINING

R. Priyadarshini, D. Giftson, 2016 .

Autonomous mobile robot path planning using hybridization of particle swarm optimization and Tabu search

R. Priyadarshini, M. R. Panda, S. K. Pradhan, 2016, 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC).

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

Chhabi Rani Panigrahi, Mayank Tiwary, Rachita Misra, 2016, 2016 3rd International Conference on Recent Advances in Information Technology (RAIT).

RFID Location System Based on Artificial Neural Networks

B. S. Abdur, R. Priyadarshini, B. S. A. Crescent, 2010 .

Functional Analysis of Artificial Neural Network for Dataset Classification

Tripti Swarnkar, Rachita Misra, Rojalina Priyadarshini, 2010 .

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

Brojo Kishore Mishra, Rabindra K. Barik, Rachita Misra, 2017, Int. J. Appl. Metaheuristic Comput..

A Meta-Heuristic Model for Data Classification Using Target Optimization

Rabindra K. Barik, Rabindra Kumar Barik, Nilamadhab Dash, 2017, Int. J. Appl. Metaheuristic Comput..

FogLearn: Leveraging Fog-based Machine Learning for Smart System Big Data Analytics pdf

Rabindra K. Barik, Harishchandra Dubey, Kunal Mankodiya, 2017, Int. J. Fog Comput..

Cluster head selection based on Minimum Connected Dominating Set and Bi-Partite inspired methodology for energy conservation in WSNs

R. Raj Priyadarshini, N. Sivakumar, R. Priyadarshini, 2018, J. King Saud Univ. Comput. Inf. Sci..

A-RDBOTE: an improved oversampling technique for imbalanced credit-scoring datasets

S. R. Lenka, R. Priyadarshini, S. Bisoy, 2023, Risk Management.

An ANN Model to Classify Multinomial Datasets with Optimized Target Using Particle Swarm Optimization Technique

Rachita Misra, Rojalina Priyadarshini, Nilamadhab Dash, 2015 .

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

R. Priyadarshini, R. C. Barik, Sanjay Kumar Jena, 2024, Internet Things.

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

R. Priyadarshini, Santosh Kumar Sharma, Debendra Muduli, 2024, Engineering applications of artificial intelligence.

Smote-DL: A Deep Learning Based Plant Disease Detection Method

R. Priyadarshini, Abhishek Bhattacharjee, S. Divakar, 2021, 2021 6th International Conference for Convergence in Technology (I2CT).