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Hariprasad Kodamana
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2020 – today
- 2024
- [j20]Anubha Agrawal
, Bhavik R. Bakshi
Multi-objective optimization of food-energy-water nexus via crops land allocation. Comput. Chem. Eng. 183: 108610 (2024) - [j19]Umang Goswami, Hariprasad Kodamana
Fault detection using Graph Neural Differential Auto-encoders (GNDAE). Comput. Chem. Eng. 189: 108775 (2024) - [j18]B. Keerthiveena, Mohammad Tufail Sheikh, Hariprasad Kodamana, Anurag S. Rathore
DeepDepth: Prediction of O(6)-methylguanine-DNA methyltransferase genotype in glioblastoma patients using multimodal representation learning based on deep feature fusion. Neural Comput. Appl. 36(19): 11507-11523 (2024) - [c5]Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu:
Mirage: Model-agnostic Graph Distillation for Graph Classification. ICLR 2024 - [i7]Jyoti Rani, Tapas Tripura, Hariprasad Kodamana, Souvik Chakraborty:
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data. CoRR abs/2401.04004 (2024) - [i6]Mridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana, Sayan Ranu:
Bonsai: Gradient-free Graph Distillation for Node Classification. CoRR abs/2410.17579 (2024) - 2023
- [j17]Ahteshamul Haq, Reena Sharma, Bhavik R. Bakshi
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. 179: 108439 (2023) - [j16]Umang Goswami, Jyoti Rani, Hariprasad Kodamana
Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders. J. Frankl. Inst. 360(10): 6783-6803 (2023) - [c4]Mridul Gupta
Frigate: Frugal Spatio-temporal Forecasting on Road Networks. KDD 2023: 649-660 - [i5]Mridul Gupta, Hariprasad Kodamana, Sayan Ranu:
FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks. CoRR abs/2306.08277 (2023) - [i4]Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu:
Mirage: Model-Agnostic Graph Distillation for Graph Classification. CoRR abs/2310.09486 (2023) - 2022
- [j15]Mayuna Gupta
Prediction of ENSO Beyond Spring Predictability Barrier Using Deep Convolutional LSTM Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j14]Aravind Nair, K. S. S. Sai Srujan
A Deep Learning Framework for the Detection of Tropical Cyclones From Satellite Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j13]Aryaman Sinha
Prediction of Synoptic-Scale Sea Level Pressure Over the Indian Monsoon Region Using Deep Learning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [i3]Tanuja Joshi, Hariprasad Kodamana, Harikumar Kandath, Niket S. Kaisare:
TASAC: a twin-actor reinforcement learning framework with stochastic policy for batch process control. CoRR abs/2204.10685 (2022) - 2021
- [j12]Tanuja Joshi, Shikhar Makker, Hariprasad Kodamana, Harikumar Kandath:
Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control. Comput. Chem. Eng. 155: 107527 (2021) - [j11]Shivendra Singh, Anubha Agrawal
Multi-objective Optimization Based Recursive Feature Elimination for Process Monitoring. Neural Process. Lett. 53(2): 1081-1099 (2021) - [i2]Tanuja Joshi, Shikhar Makker, Hariprasad Kodamana, Harikumar Kandath:
Application of twin delayed deep deterministic policy gradient learning for the control of transesterification process. CoRR abs/2102.13012 (2021) - [i1]Dibyendu Ghosh, Srija Chakraborty, Hariprasad Kodamana, Supriya Chakraborty:
Application of Machine Learning in understanding plant virus pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus interplay and management. CoRR abs/2112.01998 (2021) - 2020
- [j10]Sammyak Mate, Hariprasad Kodamana
A Stabilizing Sub-Optimal Model Predictive Control for Quasi-Linear Parameter Varying Systems. IEEE Control. Syst. Lett. 4(2): 402-407 (2020) - [j9]Mengqi Fang
Real-Time Mode Diagnosis for Processes With Multiple Operating Conditions Using Switching Conditional Random Fields. IEEE Trans. Ind. Electron. 67(6): 5060-5070 (2020)
2010 – 2019
- 2019
- [j8]Zheyuan Liu, Hariprasad Kodamana, Artin Afacan, Biao Huang:
Dynamic prediction of interface level using spatial temporal markov random field. Comput. Chem. Eng. 128: 301-311 (2019) - [j7]Hariprasad Kodamana
Mixtures of Probabilistic PCA With Common Structure Latent Bases for Process Monitoring. IEEE Trans. Control. Syst. Technol. 27(2): 838-846 (2019) - 2018
- [j6]Rahul Raveendran, Hariprasad Kodamana, Biao Huang:
Process monitoring using a generalized probabilistic linear latent variable model. Autom. 96: 73-83 (2018) - [j5]Mengqi Fang
A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data. Comput. Chem. Eng. 111: 149-163 (2018) - [j4]Fan Guo, Ouyang Wu, Hariprasad Kodamana
An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 48(11): 1968-1978 (2018) - [c3]Mengqi Fang, Hariprasad Kodamana, Biao Huang:
Switching Conditional Random Field Approach to Process Operating Mode Diagnosis for Multi-Modal Processes. CDC 2018: 5146-5151 - 2017
- [j3]Hariprasad Kodamana, Sharad Bhartiya
An Efficient and Stabilizing Model Predictive Control of Switched Systems. IEEE Trans. Autom. Control. 62(7): 3401-3407 (2017) - [j2]Fan Guo, Hariprasad Kodamana, Yujia Zhao, Biao Huang
Robust Identification of Nonlinear Errors-in-Variables Systems With Parameter Uncertainties Using Variational Bayesian Approach. IEEE Trans. Ind. Informatics 13(6): 3047-3057 (2017) - [c2]Ouyang Wu, Hariprasad Kodamana, Juan Li, Biao Huang, J. Fraser Forbes:
Identification of nonlinear errors-in-variables systems in state-space form: A linear parameter varying approach. ASCC 2017: 1417-1422 - 2016
- [j1]S. V. Vignesh, Hariprasad Kodamana, Pratik Athawale, Vinod Siram
Optimal strategies for transitions in simulated moving bed chromatography. Comput. Chem. Eng. 84: 83-95 (2016) - 2014
- [c1]Hariprasad Kodamana, Sharad Bhartiya
Adaptive robust model predictive control of nonlinear systems using tubes based on interval inclusions. CDC 2014: 2032-2037
Coauthor Index
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