C. Pavan Kumar

Orcid: 0000-0002-4907-5412

Affiliations:
  • VIT University, School of Computer Science and Engineering, Vellore, India


According to our database1, C. Pavan Kumar authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
A new U-Net based system for multi-cultural wedding image classification.
Expert Syst. Appl., March, 2024

2023
Weighted aggregation through probability based ranking: An optimized federated learning architecture to classify respiratory diseases.
Comput. Methods Programs Biomed., December, 2023

2022
Augmenting eBooks with with recommended questions using contrastive fine-tuned T5.
Proceedings of the 19th International Conference on Natural Language Processing, 2022

Learning Enhancement Using Question-Answer Generation for e-Book Using Contrastive Fine-Tuned T5.
Proceedings of the Big Data Analytics - 10th International Conference, 2022

2020
Reliable and secure data communication in wireless sensor networks using optimal locally recoverable codes.
Peer-to-Peer Netw. Appl., 2020

Concatenated kernel codes.
Discret. Math. Algorithms Appl., 2020

2019
Mitigating the interferences and intruders in cognitive radio networks using an authentication protocol over Reed-Solomon codes.
Int. J. Commun. Networks Distributed Syst., 2019

2018
Reliable and secure communication using fundamental cut-sets and fundamental circuits.
Int. J. Inf. Comput. Secur., 2018

A novel reliable and secure communication scheme for cognitive radio networks using concatenated kernel codes.
Int. J. Commun. Syst., 2018

Authentication Protocol Using Error Correcting Codes and Cyclic Redundancy Check.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

Sensing-as-a-Service Decentralized Data Access Control Mechanism for Cyber Physical Systems.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

2017
Efficient data reconstruction in sensor networks using optimal locally recoverable codes.
Proceedings of the Ninth International Conference on Ubiquitous and Future Networks, 2017


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