Aniruddha Rajendra Rao

According to our database, Aniruddha Rajendra Rao authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

Probabilistic Deep Learning Model for Time Series Analysis.

Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance.

Jana Backhus, Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Abhishek Padmanabhan, A. Vinoth Kumar, Chetan Gupta

CoRR, 2024

Predictive Analysis for Optimizing Port Operations.

Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta

CoRR, 2024

2023

Modern non-linear function-on-function regression.

Aniruddha Rajendra Rao, Matthew Reimherr

Stat. Comput., December, 2023

Nonlinear Functional Modeling Using Neural Networks.

Aniruddha Rajendra Rao, Matthew Reimherr

J. Comput. Graph. Stat., 2023

Optimal Load Shedding for Public Safety Power Shutoffs.

Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Robert Ellis, Chetan Gupta

CoRR, 2023

An ensemble of convolution-based methods for fault detection using vibration signals.

Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

2022

Enabling Product Circularity Through Big Data Analytics and Digitalization.

Umeshwar Dayal, Manish Gupta, Dipanjan Ghosh, Dinesh Wadhawan, Archana Morrow, Sadanori Horiguchi, Haiyan Wang, Aniruddha Rajendra Rao, Anastasia Osling, Chetan Gupta, Ravigopal Vennelakanti, Amit Kumar

Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

Functional approach for Two Way Dimension Reduction in Time Series.

Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Non-linear Functional Modeling using Neural Networks.

Aniruddha Rajendra Rao, Matthew Reimherr

CoRR, 2021

2020

Modern Multiple Imputation with Functional Data.

Aniruddha Rajendra Rao, Matthew Reimherr

CoRR, 2020

Spatio-Temporal Functional Neural Networks.

Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang, Hamed Khorasgani, Chetan Gupta

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

A Non-linear Function-on-Function Model for Regression with Time Series Data.

Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020