Sharmila Subudhi

Orcid: 0000-0002-5043-1533

According to our database1, Sharmila Subudhi authored at least 15 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
VGG Induced Deep Hand Sign Language Detection.
CoRR, January, 2026

2025
Hierarchical Adaptive Consensus Network: A Dynamic Framework for Scalable Consensus in Collaborative Multi-Agent AI Systems.
CoRR, November, 2025

Scalable Hierarchical AI-Blockchain Framework for Real-Time Anomaly Detection in Large-Scale Autonomous Vehicle Networks.
CoRR, November, 2025

Privacy-Preserving Federated Learning for Fair and Efficient Urban Traffic Optimization.
CoRR, November, 2025

Multi-Robot Task Allocation for Homogeneous Tasks with Collision Avoidance via Spatial Clustering.
CoRR, May, 2025

AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles.
CoRR, May, 2025

Hierarchical Federated Graph Attention Networks for Scalable and Resilient UAV Collision Avoidance.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2025

2023
Optimizing intrusion detection systems using parallel metric learning.
Comput. Electr. Eng., September, 2023

2022
Application of OPTICS and ensemble learning for Database Intrusion Detection.
J. King Saud Univ. Comput. Inf. Sci., 2022

2020
Use of optimized Fuzzy C-Means clustering and supervised classifiers for automobile insurance fraud detection.
J. King Saud Univ. Comput. Inf. Sci., 2020

Two-Stage Automobile Insurance Fraud Detection by Using Optimized Fuzzy C-Means Clustering and Supervised Learning.
Int. J. Inf. Secur. Priv., 2020

2018
A hybrid mobile call fraud detection model using optimized fuzzy C-means clustering and group method of data handling-based network.
Vietnam. J. Comput. Sci., 2018

Detection of Automobile Insurance Fraud Using Feature Selection and Data Mining Techniques.
Int. J. Rough Sets Data Anal., 2018

2016
Use of fuzzy clustering and support vector machine for detecting fraud in mobile telecommunication networks.
Int. J. Secur. Networks, 2016

Detection of Mobile Phone Fraud Using Possibilistic Fuzzy C-Means Clustering and Hidden Markov Model.
Int. J. Synth. Emot., 2016


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