Hariprasad Kodamana
Orcid: 0000-0003-3166-2712
According to our database1,
Hariprasad Kodamana
authored at least 26 papers
between 2014 and 2024.
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Bibliography
2024
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data.
CoRR, 2024
2023
Forecasting sustainable power generation profiles to achieve net zero emissions using multi-objective techno-ecological framework: A study in the context of India.
Comput. Chem. Eng., November, 2023
Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders.
J. Frankl. Inst., July, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Prediction of Synoptic-Scale Sea Level Pressure Over the Indian Monsoon Region Using Deep Learning.
IEEE Geosci. Remote. Sens. Lett., 2022
A Deep Learning Framework for the Detection of Tropical Cyclones From Satellite Images.
IEEE Geosci. Remote. Sens. Lett., 2022
Prediction of ENSO Beyond Spring Predictability Barrier Using Deep Convolutional LSTM Networks.
IEEE Geosci. Remote. Sens. Lett., 2022
TASAC: a twin-actor reinforcement learning framework with stochastic policy for batch process control.
CoRR, 2022
2021
Multi-objective Optimization Based Recursive Feature Elimination for Process Monitoring.
Neural Process. Lett., 2021
Application of Machine Learning in understanding plant virus pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus interplay and management.
CoRR, 2021
Application of twin delayed deep deterministic policy gradient learning for the control of transesterification process.
CoRR, 2021
Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control.
Comput. Chem. Eng., 2021
2020
Real-Time Mode Diagnosis for Processes With Multiple Operating Conditions Using Switching Conditional Random Fields.
IEEE Trans. Ind. Electron., 2020
A Stabilizing Sub-Optimal Model Predictive Control for Quasi-Linear Parameter Varying Systems.
IEEE Control. Syst. Lett., 2020
2019
Mixtures of Probabilistic PCA With Common Structure Latent Bases for Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2019
Comput. Chem. Eng., 2019
2018
An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2018
A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data.
Comput. Chem. Eng., 2018
Autom., 2018
Switching Conditional Random Field Approach to Process Operating Mode Diagnosis for Multi-Modal Processes.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Robust Identification of Nonlinear Errors-in-Variables Systems With Parameter Uncertainties Using Variational Bayesian Approach.
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Autom. Control., 2017
Identification of nonlinear errors-in-variables systems in state-space form: A linear parameter varying approach.
Proceedings of the 11th Asian Control Conference, 2017
2016
Comput. Chem. Eng., 2016
2014
Adaptive robust model predictive control of nonlinear systems using tubes based on interval inclusions.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014