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Nenavath Srinivas Naik
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2020 – today
- 2024
- [j8]Nenavath Srinivas Naik
, Harshit Kumar Chaubey:
Weed detection and classification in sesame crops using region-based convolution neural networks. Neural Comput. Appl. 36(30): 18961-18977 (2024) - [j7]Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik
Quantum leap in cardiac prognosis: EMIP-cardioPPG's pioneering approach to early myocardial infarction prediction. Signal Image Video Process. 18(12): 8723-8737 (2024) - 2023
- [j6]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: 100009 (2023) - [j5]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): 62-86 (2023) - [j4]Aryaman, Nenavath Srinivas Naik, Satyanarayana Vollala
Detecting and predicting countermeasures against clickjacking. Secur. Priv. 6(5) (2023) - [c9]Garika Akshay, Nenavath Srinivas Naik, Jai Vardhan:
Enhancing Hadoop Performance with Q-Learning for Optimal Parameter Tuning. TENCON 2023: 617-622 - [c8]Harshit Kumar Chaubey
Coffee Leaf Disease and Severity Prediction Using Deep Learning. TENCON 2023: 1175-1180 - [i1]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 abs/2308.07309 (2023) - 2022
- [c7]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: 180-194 - 2021
- [c6]Maihul Rajora, Mansi Rathod, Nenavath Srinivas Naik:
Stroke Prediction Using Machine Learning in a Distributed Environment. ICDCIT 2021: 238-252 - 2020
- [j3]Ashish Kumar Maurya
Energy-aware scheduling using slack reclamation for cluster systems. Clust. Comput. 23(2): 911-923 (2020) - [c5]Medi Rahul, Karnekanti Shiva Saketh, Attili Sanjeet, Nenavath Srinivas Naik:
Early Detection of Forest Fire using Deep Learning. TENCON 2020: 1136-1140
2010 – 2019
- 2019
- [j2]Nenavath Srinivas Naik
A data locality based scheduler to enhance MapReduce performance in heterogeneous environments. Future Gener. Comput. Syst. 90: 423-434 (2019) - [c4]Divya Krishnani, Anjali Kumari, Akash Dewangan, Aditya Singh, Nenavath Srinivas Naik
Prediction of Coronary Heart Disease using Supervised Machine Learning Algorithms. TENCON 2019: 367-372 - 2018
- [j1]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): 201-215 (2018) - 2017
- [c3]Gangala Ramya, Nenavath Srinivas Naik
Implementation of telugu speech synthesis system. ICACCI 2017: 1151-1154 - [c2]Nenavath Srinivas Naik
A learning-based mapreduce scheduler in heterogeneous environments. ICACCI 2017: 2020-2025 - 2014
- [c1]Nenavath Srinivas Naik
A review of adaptive approaches to MapReduce scheduling in heterogeneous environments. ICACCI 2014: 677-683
Coauthor Index
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last updated on 2024-12-02 21:33 CET by the dblp team
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