Nenavath Srinivas Naik

27 papers C 5Misc 1Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MyoNet: intelligent feature engineering for precise early prediction of myocardial infarction. Soft Comput. Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik
2025	J	`jnl`	A Novel Review on Quadruped Robots Design Variants, Gait Modulation, and Motion Planning Schemes. J. Field Robotics S. A. Azeez, Ravi Kumar Mandava, Nenavath Srinivas Naik
2025	J	`jnl`	Adaptive Node-Oriented Data Placement for Heterogeneous Hadoop Clusters. IEEE Access Vishnu Prasad Verma, Santosh Kumar, Nenavath Srinivas Naik
2025	—	`conf`	Disentangled Latent Augmentation for Abnormality Detection in Musculoskeletal Radiographs. MIWAI (1) Gokaramaiah Thota, Korra Sathya Babu, K. Nagaraju, Nenavath Srinivas Naik
2025	J	`jnl`	Optimizing Spark job scheduling with distributional deep learning in cloud environments. J. Cloud Comput. Vishnu Prasad Verma, Sumit Kumar, Santosh Kumar, Nenavath Srinivas Naik, Rishav Dubey
2024	—	`conf`	Automated Disease Detection in Millet Crops Using Deep Learning. MIWAI (2) Nenavath Srinivas Naik
2024	J	`jnl`	Quantum leap in cardiac prognosis: EMIP-cardioPPG's pioneering approach to early myocardial infarction prediction. Signal Image Video Process. Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik
2024	J	`jnl`	Weed detection and classification in sesame crops using region-based convolution neural networks. Neural Comput. Appl. Nenavath Srinivas Naik, Harshit Kumar Chaubey
2023	—	`conf`	A Novel Hybrid Model for Predictive Analysis of Myocardial Infarction using Advanced Machine Learning Techniques. OCIT Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik, Tejasv Bhatt
2023	J	`jnl`	A decentralised KYC based approach for microfinance using blockchain technology. Cyber Secur. Appl. Bodicherla Digvijay Sri Sai, Nikhil Ramisetty, Shivangini Prasad, Nenavath Srinivas Naik
2023	C	`conf`	Coffee Leaf Disease and Severity Prediction Using Deep Learning. TENCON Harshit Kumar Chaubey, Siri Arelli, Aryan Raj, Nenavath Srinivas Naik
2023	J	`jnl`	Detecting and predicting countermeasures against clickjacking. Secur. Priv. Aryaman, Nenavath Srinivas Naik, Satyanarayana Vollala, Ruhul Amin
2023	C	`conf`	Enhancing Hadoop Performance with Q-Learning for Optimal Parameter Tuning. TENCON Garika Akshay, Nenavath Srinivas Naik, Jai Vardhan
2023	J	`jnl`	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. Harshita Mandalika, Manya Rampuria, Nenavath Srinivas Naik
2023	J	`jnl`	Reinforcing Security and Usability of Crypto-Wallet with Post-Quantum Cryptography and Zero-Knowledge Proof. CoRR Yathin Kethepalli, Rony Joseph, Sai Raja Vajrala, Jashwanth Vemula, Nenavath Srinivas Naik
2022	J	`jnl`	Ensemble multimodal deep learning for early diagnosis and accurate classification of COVID-19. Comput. Electr. Eng. Santosh Kumar, Sachin Kumar Gupta, Vinit Kumar, Manoj Kumar, Mithilesh Kumar Chaube, Nenavath Srinivas Naik
2022	C	`conf`	Mobilizing Digital Volunteers to Support Underserved Communities in India During COVID-19 Lockdowns. COMPASS Devansh Mehta, Vishnu Prasad, Tarun Chitta, Nenavath Srinivas Naik, Amit Prakash, Aditya Vashistha
2022	J	`jnl`	Privacy preservation and security challenges: a new frontier multimodal machine learning research. Int. J. Sens. Networks Santosh Kumar, Mithilesh Kumar Chaube, Nenavath Srinivas Naik, Sachin Kumar Gupta, Sumit Kumar Tetarave
2021	Misc	`conf`	Stroke Prediction Using Machine Learning in a Distributed Environment. ICDCIT Maihul Rajora, Mansi Rathod, Nenavath Srinivas Naik
2020	C	`conf`	Early Detection of Forest Fire using Deep Learning. TENCON Medi Rahul, Karnekanti Shiva Saketh, Attili Sanjeet, Nenavath Srinivas Naik
2020	J	`jnl`	Energy-aware scheduling using slack reclamation for cluster systems. Clust. Comput. Ashish Kumar Maurya, Kashish Modi, Vinay Kumar, Nenavath Srinivas Naik, Anil Kumar Tripathi
2019	J	`jnl`	A data locality based scheduler to enhance MapReduce performance in heterogeneous environments. Future Gener. Comput. Syst. Nenavath Srinivas Naik, Atul Negi, B. R. Tapas Bapu, R. Anitha
2019	C	`conf`	Prediction of Coronary Heart Disease using Supervised Machine Learning Algorithms. TENCON Divya Krishnani, Anjali Kumari, Akash Dewangan, Aditya Singh, Nenavath Srinivas Naik
2018	J	`jnl`	Improving straggler task performance in a heterogeneous MapReduce framework using reinforcement learning. Int. J. Big Data Intell. Nenavath Srinivas Naik, Atul Negi, V. N. Sastry
2017	—	`conf`	A learning-based mapreduce scheduler in heterogeneous environments. ICACCI Nenavath Srinivas Naik, Atul Negi
2017	—	`conf`	Implementation of telugu speech synthesis system. ICACCI Gangala Ramya, Nenavath Srinivas Naik
2014	—	`conf`	A review of adaptive approaches to MapReduce scheduling in heterogeneous environments. ICACCI Nenavath Srinivas Naik, Atul Negi, V. N. Sastry