Bhargavi Krishnamurthy

According to our database, Bhargavi Krishnamurthy authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

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

Bhargavi Krishnamurthy, Sajjan G. Shiva

Sensors, August, 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