Neha Garg

Orcid: 0000-0002-3347-7812

According to our database1, Neha Garg authored at least 14 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
On the design of an AI-driven secure communication scheme for internet of medical things environment.
Digit. Commun. Networks, October, 2023

2022
Optimal virtual machine scheduling in virtualized cloud environment using VIKOR method.
J. Supercomput., 2022

Security in IoMT-driven smart healthcare: A comprehensive review and open challenges.
Secur. Priv., 2022

Automatic Identification of Vehicles in Traffic using Smart Cameras.
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022

2021
Deadline Aware Energy-Efficient Task Scheduling Model for a Virtualized Server.
SN Comput. Sci., 2021

Kuramoto-model-based data classification using the synchronization dynamics of uniform-mode spin Hall nano-oscillators.
Neuromorph. Comput. Eng., 2021

Knowledge hiding in academia: an empirical study of Indian higher education students.
J. Knowl. Manag., 2021

Energy and resource efficient workflow scheduling in a virtualized cloud environment.
Clust. Comput., 2021

SPCS-IoTEH: Secure Privacy-Preserving Communication Scheme for IoT-Enabled e-Health Applications.
Proceedings of the ICC 2021, 2021

2020
Energy Management in a Multi-Source Energy Harvesting IoT System.
J. Inf. Technol. Res., 2020

Bisindolemethane derivatives as highly potent anticancer agents: Synthesis, medicinal activity evaluation, cell-based compound discovery, and computational target predictions.
Comput. Biol. Medicine, 2020

BAKMP-IoMT: Design of Blockchain Enabled Authenticated Key Management Protocol for Internet of Medical Things Deployment.
IEEE Access, 2020

2019
Anticancer SAR establishment and novel accruing signal transduction model of drug action using biscoumarin scaffold.
Comput. Biol. Chem., 2019

2018
Test Data Generation for Database Applications.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018


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