Nenavath Srinivas Naik

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 15

Top Topics

Heterogeneous Environments

Supervised Machine Learning

Countermeasures

Coronary Heart Disease

Top Venues

Future Gener. Comput. Syst.

Publications

Garika Akshay, Nenavath Srinivas Naik, Jai Vardhan
Enhancing Hadoop Performance with Q-Learning for Optimal Parameter Tuning. TENCON (2023)
Bodicherla Digvijay Sri Sai, Nikhil Ramisetty, Shivangini Prasad, Nenavath Srinivas Naik
A decentralised KYC based approach for microfinance using blockchain technology. Cyber Secur. Appl. 1 (2023)
Harshita Mandalika, Manya Rampuria, Nenavath Srinivas Naik
Prediction of dengue fever using supervised machine learning based on hyperparameter tuning and an analysis of the factors influencing dengue spread. Int. J. Artif. Intell. Soft Comput. 8 (1) (2023)
Yathin Kethepalli, Rony Joseph, Sai Raja Vajrala, Jashwanth Vemula, Nenavath Srinivas Naik
Reinforcing Security and Usability of Crypto-Wallet with Post-Quantum Cryptography and Zero-Knowledge Proof. CoRR (2023)
Aryaman, Nenavath Srinivas Naik, Satyanarayana Vollala, Ruhul Amin
Detecting and predicting countermeasures against clickjacking. Secur. Priv. 6 (5) (2023)
Harshit Kumar Chaubey, Siri Arelli, Aryan Raj, Nenavath Srinivas Naik
Coffee Leaf Disease and Severity Prediction Using Deep Learning. TENCON (2023)
Devansh Mehta, Vishnu Prasad, Tarun Chitta, Nenavath Srinivas Naik, Amit Prakash, Aditya Vashistha
Mobilizing Digital Volunteers to Support Underserved Communities in India During COVID-19 Lockdowns. COMPASS (2022)
Maihul Rajora, Mansi Rathod, Nenavath Srinivas Naik
Stroke Prediction Using Machine Learning in a Distributed Environment. ICDCIT (2021)
Medi Rahul, Karnekanti Shiva Saketh, Attili Sanjeet, Nenavath Srinivas Naik
Early Detection of Forest Fire using Deep Learning. TENCON (2020)
Ashish Kumar Maurya, Kashish Modi, Vinay Kumar, Nenavath Srinivas Naik, Anil Kumar Tripathi
Energy-aware scheduling using slack reclamation for cluster systems. Clust. Comput. 23 (2) (2020)
Divya Krishnani, Anjali Kumari, Akash Dewangan, Aditya Singh, Nenavath Srinivas Naik
Prediction of Coronary Heart Disease using Supervised Machine Learning Algorithms. TENCON (2019)
Nenavath Srinivas Naik, Atul Negi, B. R. Tapas Bapu, R. Anitha
A data locality based scheduler to enhance MapReduce performance in heterogeneous environments. Future Gener. Comput. Syst. 90 (2019)
Nenavath Srinivas Naik, Atul Negi, V. N. Sastry
Improving straggler task performance in a heterogeneous MapReduce framework using reinforcement learning. Int. J. Big Data Intell. 5 (4) (2018)
Nenavath Srinivas Naik, Atul Negi
A learning-based mapreduce scheduler in heterogeneous environments. ICACCI (2017)
Gangala Ramya, Nenavath Srinivas Naik
Implementation of telugu speech synthesis system. ICACCI (2017)
Nenavath Srinivas Naik, Atul Negi, V. N. Sastry
A review of adaptive approaches to MapReduce scheduling in heterogeneous environments. ICACCI (2014)