Avinash Kaur
Orcid: 0000-0003-3534-4121
According to our database1,
Avinash Kaur
authored at least 19 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
An ensemble reinforcement learning-assisted deep learning framework for enhanced lung cancer diagnosis.
Swarm Evol. Comput., 2024
2023
IEEE J. Biomed. Health Informatics, February, 2023
Proceedings of the IEEE International Conference on Communications, 2023
2022
IEEE Trans. Ind. Informatics, 2022
Deep-Q learning-based heterogeneous earliest finish time scheduling algorithm for scientific workflows in cloud.
Softw. Pract. Exp., 2022
Service Versus Protection: A Bayesian Learning Approach for Trust Provisioning in Edge of Things Environment.
IEEE Internet Things J., 2022
Machine learning for cloud, fog, edge and serverless computing environments: comparisons, performance evaluation benchmark and future directions.
Int. J. Grid Util. Comput., 2022
2021
CROWD: Crow Search and Deep Learning based Feature Extractor for Classification of Parkinson's Disease.
ACM Trans. Internet Techn., 2021
Secur. Commun. Networks, 2021
Multi-disease big data analysis using beetle swarm optimization and an adaptive neuro-fuzzy inference system.
Neural Comput. Appl., 2021
J. Parallel Distributed Comput., 2021
DaaS: Dew Computing as a Service for Intelligent Intrusion Detection in Edge-of-Things Ecosystem.
IEEE Internet Things J., 2021
Clust. Comput., 2021
Blockchain and homomorphic encryption-based privacy-preserving data aggregation model in smart grid.
Comput. Electr. Eng., 2021
2020
Future Internet, 2020
2019
Data Placement in Era of Cloud Computing: a Survey, Taxonomy and Open Research Issues.
Scalable Comput. Pract. Exp., 2019
Hybrid Balanced Task Clustering Algorithm for Scientific Workflows in Cloud Computing.
Scalable Comput. Pract. Exp., 2019
Soft-computing-based false alarm reduction for hierarchical data of intrusion detection system.
Int. J. Distributed Sens. Networks, 2019
2017
Proceedings of the Soft Computing for Problem Solving, 2017