Nenavath Srinivas Naik

Orcid: 0000-0002-1554-8322

According to our database1, Nenavath Srinivas Naik authored at least 15 papers between 2014 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
A decentralised KYC based approach for microfinance using blockchain technology.
Cyber Secur. Appl., December, 2023

Detecting and predicting countermeasures against clickjacking.
Secur. Priv., 2023

Reinforcing Security and Usability of Crypto-Wallet with Post-Quantum Cryptography and Zero-Knowledge Proof.
CoRR, 2023

Coffee Leaf Disease and Severity Prediction Using Deep Learning.
Proceedings of the IEEE Region 10 Conference, 2023

Enhancing Hadoop Performance with Q-Learning for Optimal Parameter Tuning.
Proceedings of the IEEE Region 10 Conference, 2023

2022
Mobilizing Digital Volunteers to Support Underserved Communities in India During COVID-19 Lockdowns.
Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

2021
Stroke Prediction Using Machine Learning in a Distributed Environment.
Proceedings of the Distributed Computing and Internet Technology, 2021

2020
Energy-aware scheduling using slack reclamation for cluster systems.
Clust. Comput., 2020

Early Detection of Forest Fire using Deep Learning.
Proceedings of the 2020 IEEE Region 10 Conference, 2020

2019
A data locality based scheduler to enhance MapReduce performance in heterogeneous environments.
Future Gener. Comput. Syst., 2019

Prediction of Coronary Heart Disease using Supervised Machine Learning Algorithms.
Proceedings of the TENCON 2019, 2019

2018
Improving straggler task performance in a heterogeneous MapReduce framework using reinforcement learning.
Int. J. Big Data Intell., 2018

2017
Implementation of telugu speech synthesis system.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

A learning-based mapreduce scheduler in heterogeneous environments.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

2014
A review of adaptive approaches to MapReduce scheduling in heterogeneous environments.
Proceedings of the 2014 International Conference on Advances in Computing, 2014


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