Sweta Bhattacharya
Orcid: 0000-0002-6082-164X
According to our database1,
Sweta Bhattacharya
authored at least 37 papers
between 2019 and 2023.
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Bibliography
2023
J. Ambient Intell. Humaniz. Comput., 2023
Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions.
IEEE Internet Things J., 2023
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions.
CoRR, 2023
A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems.
IEEE Access, 2023
Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions.
IEEE Access, 2023
Towards Smart Education in the Industry 5.0 Era: A Mini Review on the Application of Federated Learning.
Proceedings of the IEEE Intl Conf on Dependable, 2023
Proceedings of the 16th Annual ACM India Compute Conference, 2023
FL-PSO: A Federated Learning approach with Particle Swarm Optimization for Brain Stroke Prediction.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
2022
IEEE Trans. Green Commun. Netw., 2022
Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset.
Multim. Tools Appl., 2022
J. Netw. Comput. Appl., 2022
A survey on Zero touch network and Service Management (ZSM) for 5G and beyond networks.
J. Netw. Comput. Appl., 2022
Federated Learning for IoUT: Concepts, Applications, Challenges and Future Directions.
IEEE Internet Things Mag., 2022
A survey on blockchain for big data: Approaches, opportunities, and future directions.
Future Gener. Comput. Syst., 2022
CoRR, 2022
XAI for Cybersecurity: State of the Art, Challenges, Open Issues and Future Directions.
CoRR, 2022
Federated Learning for intrusion detection system: Concepts, challenges and future directions.
Comput. Commun., 2022
Incentive Mechanisms for Smart Grid: State of the Art, Challenges, Open Issues, Future Directions.
Big Data Cogn. Comput., 2022
2021
A novel PCA-whale optimization-based deep neural network model for classification of tomato plant diseases using GPU.
J. Real Time Image Process., 2021
Blockchain-Based Attack Detection on Machine Learning Algorithms for IoT-Based e-Health Applications.
IEEE Internet Things Mag., 2021
Int. J. Ad Hoc Ubiquitous Comput., 2021
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions.
CoRR, 2021
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions.
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems, 2021
Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021
2020
Load balancing of energy cloud using wind driven and firefly algorithms in internet of everything.
J. Parallel Distributed Comput., 2020
J. Inf. Secur. Appl., 2020
Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting.
Int. J. Distributed Sens. Networks, 2020
Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challenges.
CoRR, 2020
Proceedings of the IEEE Globecom Workshops, 2020
Proceedings of the IEEE Globecom Workshops, 2020
Proceedings of the Computational Data and Social Networks - 9th International Conference, 2020
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020
2019
Analysis of factors affecting customer satisfaction in e-commerce applications using Condorcet - AHP method.
Int. J. Internet Protoc. Technol., 2019