Keshab Nath

Orcid: 0000-0002-8825-5117

According to our database1, Keshab Nath authored at least 18 papers between 2016 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Exploring the Adoption and Innovation of Digital Twins in Healthcare.
Proceedings of the 16th International Conference on Ambient Systems, 2025

2024
Efficient handover authentication protocol with message integrity for mobile clients in wireless mesh networks.
J. Inf. Secur. Appl., 2024

HPix: Generating Vector Maps from Satellite Images.
CoRR, 2024

LB-SAM: Local Beam Search With Simulated Annealing for Community Detection in Large-Scale Social Networks.
IEEE Access, 2024

2023
Plant and Salamander Inspired Network Attack Detection and Data Recovery Model.
Sensors, 2023

Generative Adversarial Network for Augmenting Low-Dose CT Images.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023

Predicting and Navigating Environmental Transformations using Machine Learning.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

A Next-Gen Real-Time Video Alert System with Machine Learning Sensitivity.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

2022
Privacy Preserving Multi-Party Key Exchange Protocol for Wireless Mesh Networks.
Sensors, 2022

Using Genetic Algorithm in Inner Product to Resist Modular Exponentiation From Higher Order DPA Attacks.
IEEE Access, 2022

2021
ma-CODE: A multi-phase approach on community detection in evolving networks.
Inf. Sci., 2021

2020
Uncovering hidden community structures in evolving networks based on neighborhood similarity.
J. Intell. Fuzzy Syst., 2020

InOvIn: A fuzzy-rough approach for detecting overlapping communities with intrinsic structures in evolving networks.
Appl. Soft Comput., 2020

2019
Pre-Processing: A Data Preparation Step.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Detecting intrinsic communities in evolving networks.
Soc. Netw. Anal. Min., 2019

2018
A Parallel Approach to Detect Communities in Evolving Networks.
Proceedings of the Big Data Analytics - 6th International Conference, 2018

2016
Incremental Approach for Detecting Arbitrary and Embedded Cluster Structures.
Proceedings of the Model and Data Engineering - 6th International Conference, 2016

Evaluating the Effectiveness of Soft K-Means in Detecting Overlapping Clusters.
ICTCS, 2016


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