Bhargavi Krishnamurthy

According to our database, Bhargavi Krishnamurthy authored at least 17 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Scalable Resource Provisioning Framework for Fog Computing Using LLM-Guided Q-Learning Approach.

Bhargavi Krishnamurthy, Sajjan G. Shiva

Algorithms, 2025

Tiny Language Model Guided Flow Q Learning for Optimal Task Scheduling in Fog Computing.

Bhargavi K., Sajjan G. Shiva

Algorithms, 2025

2024

Optimizing Storage Efficiency Through Pipelining and Parallelization for Enhanced Data Deduplication.

M. Nalini, R. Thilagavathy, K. Bhargavi, K. Thinakaran

J. Circuits Syst. Comput., October, 2024

Integral-Valued Pythagorean Fuzzy-Set-Based Dyna Q+ Framework for Task Scheduling in Cloud Computing.

Bhargavi Krishnamurthy, Sajjan G. Shiva

Sensors, August, 2024

Indetermsoft-Set-Based D* Extra Lite Framework for Resource Provisioning in Cloud Computing.

Bhargavi Krishnamurthy, Sajjan G. Shiva

Algorithms, 2024

State of the art: Security Testing of Machine Learning Development Systems.

Saikat Das, Bhargavi Krishnamurthy, Raktim Ranjan Das, Sajjan G. Shiva

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023

Explainability of Artificial Intelligence Systems: A Survey.

Mazharul Hossain, Saikat Das, Bhargavi Krishnamurthy, Sajjan G. Shiva

Proceedings of the International Symposium on Networks, Computers and Communications, 2023

Handling Node Discovery Problem in Fog Computing using Categorical51 Algorithm With Explainability.

Bhargavi Krishnamurthy, Sajjan G. Shiva, Saikat Das

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022

Securing IoT devices using Ensemble Machine Learning in Smart Home Management System.

Raktim Ranjan Das, Bhargavi Krishnamurthy, Saikat Das

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Scalable Hindsight Experience Replay based Q-learning Framework with Explainability for Big Data Applications in Fog Computing.

Bhargavi Krishnamurthy, Sajjan G. Shiva

Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

MVE-based Reinforcement Learning Framework with Explainability for improving Quality of Experience of Application Placement in Fog Computing.

Bhargavi Krishnamurthy, Sajjan G. Shiva, Saikat Das

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

Energy Efficient Double Critic Deep Deterministic Policy Gradient Framework for Fog Computing.

Bhargavi Krishnamurthy, Sajjan G. Shiva

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

Man-in-the-Middle attack Explainer for Fog computing using Soft Actor Critic Q-Learning Approach.

Bhargavi Krishnamurthy, Sajjan G. Shiva

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

2021

Performance Modeling of Load Balancing Techniques in Cloud: Some of the Recent Competitive Swarm Artificial Intelligence-based.

Bhargavi K., B. Sathish Babu, Jeremy Pitt

J. Intell. Syst., 2021

2018

Multiple CAs Based Framework to Provide Remote Palliative Care for Patients Undergoing Chemotherapy.

H. Lathashree, Niveditha J. Moka Katte, K. P. Pooja, K. Bhargavi, B. Sathish Babu

Proceedings of the Advances in Computing and Data Science, 2018

2013

CAs-Based QoS Scheme for Remote Health Monitoring.

B. Sathish Babu, Bhargavi K., Pallapa Venkataram

Int. J. Agent Technol. Syst., 2013

2011

CAs-based QoS Scheme for Remote Health Monitoring over WMSN.

Bhargavi K., B. Sathish Babu

Proceedings of the Advanced Computing, Networking and Security - International Conference, 2011