Narendra Babu Chindanur
Orcid: 0000-0002-2358-3443Affiliations:
- M. S. Ramaiah University of Applied Sciences, Department of Computer Science, Bangalore, India
According to our database1,
Narendra Babu Chindanur
authored at least 21 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Multim. Tools Appl., October, 2024
2023
Recursive Stacked LeakyNet-Based Compartmental Model for Analysis of COVID-19 Transmission Dynamics.
J. Inf. Knowl. Manag., October, 2023
AirBERT: A fine-tuned language representation model for airlines tweet sentiment analysis.
Intell. Decis. Technol., 2023
2022
Spatio-Temporal Constraint-Based Low Rank Matrix Completion Approaches for Road Traffic Networks.
IEEE Trans. Intell. Transp. Syst., 2022
Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble.
PeerJ Comput. Sci., 2022
J. Inf. Technol. Res., 2022
Building Self-Healing Feature Based on Faster R-CNN Deep Learning Technique in Web Data Extraction Systems.
J. Inf. Knowl. Manag., 2022
ACM J. Data Inf. Qual., 2022
On the domain aided performance boosting technique for deep predictive networks: A COVID-19 scenario.
Intell. Decis. Technol., 2022
2021
Sparse Bayesian Learning Assisted Approaches for Road Network Traffic State Estimation.
IEEE Trans. Intell. Transp. Syst., 2021
Prescriptive analytics for impulsive behaviour prevention using real-time biometrics.
Prog. Artif. Intell., 2021
Intelligent and adaptive web data extraction system using convolutional and long short-term memory deep learning networks.
Big Data Min. Anal., 2021
Proceedings of the International Conference on Information Technology, 2021
2020
Proceedings of the 43rd International Convention on Information, 2020
2018
IET Commun., 2018
Comput. Sci. Eng., 2018
Proceedings of the 9th International Conference on Computing, 2018
Location Based Real-time Sentiment Analysis of Top Trending Event Using Hybrid Approach.
Proceedings of the 2018 International Conference on Advances in Computing, 2018
2014
A moving-average filter based hybrid ARIMA-ANN model for forecasting time series data.
Appl. Soft Comput., 2014