Nenavath Srinivas Naik

According to our database, Nenavath Srinivas Naik authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantum leap in cardiac prognosis: EMIP-cardioPPG's pioneering approach to early myocardial infarction prediction.

Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik

Signal Image Video Process., December, 2024

Weed detection and classification in sesame crops using region-based convolution neural networks.

Nenavath Srinivas Naik, Harshit Kumar Chaubey

Neural Comput. Appl., October, 2024

2023

A decentralised KYC based approach for microfinance using blockchain technology.

Bodicherla Digvijay Sri Sai, Nikhil Ramisetty, Shivangini Prasad, Nenavath Srinivas Naik

Cyber Secur. Appl., December, 2023

Detecting and predicting countermeasures against clickjacking.

Aryaman, Nenavath Srinivas Naik, Satyanarayana Vollala, Ruhul Amin

Secur. Priv., 2023

Prediction of dengue fever using supervised machine learning based on hyperparameter tuning and an analysis of the factors influencing dengue spread.

Harshita Mandalika, Manya Rampuria, Nenavath Srinivas Naik

Int. J. Artif. Intell. Soft Comput., 2023

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

Yathin Kethepalli, Rony Joseph, Sai Raja Vajrala, Jashwanth Vemula, Nenavath Srinivas Naik

CoRR, 2023

Coffee Leaf Disease and Severity Prediction Using Deep Learning.

Harshit Kumar Chaubey, Siri Arelli, Aryan Raj, Nenavath Srinivas Naik

Proceedings of the IEEE Region 10 Conference, 2023

Enhancing Hadoop Performance with Q-Learning for Optimal Parameter Tuning.

Garika Akshay, Nenavath Srinivas Naik, Jai Vardhan

Proceedings of the IEEE Region 10 Conference, 2023

2022

Mobilizing Digital Volunteers to Support Underserved Communities in India During COVID-19 Lockdowns.

Devansh Mehta, Vishnu Prasad, Tarun Chitta, Nenavath Srinivas Naik, Amit Prakash, Aditya Vashistha

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.

Maihul Rajora, Mansi Rathod, Nenavath Srinivas Naik

Proceedings of the Distributed Computing and Internet Technology, 2021

2020

Energy-aware scheduling using slack reclamation for cluster systems.

Ashish Kumar Maurya, Kashish Modi, Vinay Kumar, Nenavath Srinivas Naik, Anil Kumar Tripathi

Clust. Comput., 2020

Early Detection of Forest Fire using Deep Learning.

Medi Rahul, Karnekanti Shiva Saketh, Attili Sanjeet, Nenavath Srinivas Naik

Proceedings of the 2020 IEEE Region 10 Conference, 2020

2019

A data locality based scheduler to enhance MapReduce performance in heterogeneous environments.

Nenavath Srinivas Naik, Atul Negi, B. R. Tapas Bapu, R. Anitha

Future Gener. Comput. Syst., 2019

Prediction of Coronary Heart Disease using Supervised Machine Learning Algorithms.

Divya Krishnani, Anjali Kumari, Akash Dewangan, Aditya Singh, Nenavath Srinivas Naik

Proceedings of the TENCON 2019, 2019

2018

Improving straggler task performance in a heterogeneous MapReduce framework using reinforcement learning.

Nenavath Srinivas Naik, Atul Negi, V. N. Sastry

Int. J. Big Data Intell., 2018

2017

Implementation of telugu speech synthesis system.

Gangala Ramya, Nenavath Srinivas Naik

Proceedings of the 2017 International Conference on Advances in Computing, 2017

A learning-based mapreduce scheduler in heterogeneous environments.

Nenavath Srinivas Naik, Atul Negi

Proceedings of the 2017 International Conference on Advances in Computing, 2017

2014

A review of adaptive approaches to MapReduce scheduling in heterogeneous environments.

Nenavath Srinivas Naik, Atul Negi, V. N. Sastry

Proceedings of the 2014 International Conference on Advances in Computing, 2014