Seshu Kumar Damarla

According to our database, Seshu Kumar Damarla authored at least 12 papers between 2015 and 2024.

Collaborative distances:

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

2024

Machine learning for industrial sensing and control: A survey and practical perspective.

Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, Aditya Tulsyan, Faraz Amjad, Kai Wang, Benoît Chachuat, Jong Min Lee, Biao Huang, R. Bhushan Gopaluni

CoRR, 2024

Detection of poor controller tuning with Gramian Angular Field (GAF) and StackAutoencoder (SAE).

Amirreza Memarian, Seshu Kumar Damarla, Alireza Memarian, Biao Huang

Comput. Chem. Eng., 2024

CNN and MLR based Multifunction Sensor Development using Piezo-resistive Element.

Seshu Kumar Damarla, Palash Kundu

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Electronic Tongue based Classification of Mineral Water Samples using Gramian Angular Field and Deep SAE.

Seshu Kumar Damarla

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

ConvLSTM and Self-Attention Aided Canonical Correlation Analysis for Multioutput Soft Sensor Modeling.

Xiuli Zhu, Seshu Kumar Damarla, Kuangrong Hao, Biao Huang, Hongtian Chen, Yicun Hua

IEEE Trans. Instrum. Meas., 2023

Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms.

Xiuli Zhu, Seshu Kumar Damarla, Biao Huang

CoRR, 2023

Electronic Tongue based Classification of Mineral Water Samples using Markov Transition Field and CNN.

Seshu Kumar Damarla, Xiuli Zhu, Madhusree Kundu

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

Parallel Interaction Spatiotemporal Constrained Variational Autoencoder for Soft Sensor Modeling.

Xiuli Zhu, Seshu Kumar Damarla, Kuangrong Hao, Biao Huang

IEEE Trans. Ind. Informatics, 2022

Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey.

R. Bhushan Gopaluni, Aditya Tulsyan, Benoît Chachuat, Biao Huang, Jong Min Lee, Faraz Amjad, Seshu Kumar Damarla, Jong Woo Kim, Nathan P. Lawrence

CoRR, 2022

2021

A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes.

Ling Li, Seshu Kumar Damarla, Yalin Wang, Biao Huang

Inf. Sci., 2021

Classification and Authentication of Mineral Water Samples using Electronic Tongue and Deep Neural Networks.

Seshu Kumar Damarla, Xiuli Zhu, Madhusree Kundu

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

2015

Numerical solution of multi-order fractional differential equations using generalized triangular function operational matrices.

Seshu Kumar Damarla, Madhusree Kundu

Appl. Math. Comput., 2015