Bhargavi Krishnamurthy - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 8 from 8

2024

State of the art: Security Testing of Machine Learning Development SystemsSaikat Das, Bhargavi Krishnamurthy, Raktim Ranjan Das, Sajjan G. Shiva. ccwc 2024: 534-540 [doi]

2023

Explainability of Artificial Intelligence Systems: A SurveyMazharul Hossain, Saikat Das, Bhargavi Krishnamurthy, Sajjan G. Shiva. isncc 2023: 1-6 [doi]

Handling Node Discovery Problem in Fog Computing using Categorical51 Algorithm With ExplainabilityBhargavi Krishnamurthy, Sajjan G. Shiva, Saikat Das. aiiot 2023: 210-215 [doi]

2022

Securing IoT devices using Ensemble Machine Learning in Smart Home Management SystemRaktim Ranjan Das, Bhargavi Krishnamurthy, Saikat Das. ssci 2022: 915-922 [doi]

Man-in-the-Middle attack Explainer for Fog computing using Soft Actor Critic Q-Learning ApproachBhargavi Krishnamurthy, Sajjan G. Shiva. aiiot 2022: 100-105 [doi]

Energy Efficient Double Critic Deep Deterministic Policy Gradient Framework for Fog ComputingBhargavi Krishnamurthy, Sajjan G. Shiva. aiiot 2022: 521-527 [doi]

Scalable Hindsight Experience Replay based Q-learning Framework with Explainability for Big Data Applications in Fog ComputingBhargavi Krishnamurthy, Sajjan G. Shiva. ccwc 2022: 138-144 [doi]

MVE-based Reinforcement Learning Framework with Explainability for improving Quality of Experience of Application Placement in Fog ComputingBhargavi Krishnamurthy, Sajjan G. Shiva, Saikat Das. aiiot 2022: 84-90 [doi]

Sign in or sign up to see more results.

runs on WebDSL