Mallikharjuna Rao K

Orcid: 0000-0002-6096-3963

According to our database1, Mallikharjuna Rao K authored at least 14 papers between 2014 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Mudscan: Double authentication based secure control mechanism for MUD enable IoT networks.
Peer Peer Netw. Appl., June, 2025

Fractional gannet humming optimization enabled deep convolutional neural network for detection and segmentation of skin cancer.
Neurocomputing, 2025

Enhanced Stress Prediction among nurses in their work environment using Clustered Chameleon Swarm Algorithm.
Proceedings of the 3rd Cognitive Models and Artificial Intelligence Conference, 2025

2024
XNetIoT: An Extreme Quantized Neural Network Architecture for IoT Environment Using P4.
IEEE Trans. Netw. Serv. Manag., October, 2024

SyncNet: Harmonizing Nodes for Efficient Learning.
Proceedings of the International Conference on Software, 2024

2023
Data preprocessing techniques: emergence and selection towards machine learning models - a practical review using HPA dataset.
Multim. Tools Appl., October, 2023

Autism spectrum disorder classification using Adam war strategy optimization enabled deep belief network.
Biomed. Signal Process. Control., September, 2023

CoVid-19 Detection leveraging Vision Transformers and Explainable AI.
CoRR, 2023

Image-based Indian Sign Language Recognition: A Practical Review using Deep Neural Networks.
CoRR, 2023

LesionAid: Vision Transformers-based Skin Lesion Generation and Classification.
CoRR, 2023

2022
Vision Transformers and YoloV5 based Driver Drowsiness Detection Framework.
CoRR, 2022

2019
Development of Cluster-based Multiprocessor Systems with Analytical Model: A Approach.
J. Commun., 2019

2017
An Efficient Method for Enhancing Reliability and Selection of Software Reliability Growth Model through Optimization Techniques.
J. Softw., 2017

2014
An Efficient Method for Parameter Estimation of Software Reliability Growth Model Using Artificial Bee Colony Optimization.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014


  Loading...