| Modern machine learning tools for monitoring and control of industrial processes: A survey RB Gopaluni, A Tulsyan, B Chachuat, B Huang, JM Lee, F Amjad, ... IFAC-PapersOnLine 53 (2), 218-229, 2020 | 29 | 2020 |
| A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes L Li, SK Damarla, Y Wang, B Huang Information Sciences 581, 262-277, 2021 | 25 | 2021 |
| Valve stiction detection and quantification using a k-means clustering based moving window approach D Zheng, X Sun, SK Damarla, A Shah, J Amalraj, B Huang Industrial & Engineering Chemistry Research 60 (6), 2563-2577, 2021 | 24 | 2021 |
| Numerical solution of multi-order fractional differential equations using generalized triangular function operational matrices SK Damarla, M Kundu Applied Mathematics and Computation 263, 189-203, 2015 | 24 | 2015 |
| Parallel interaction spatiotemporal constrained variational autoencoder for soft sensor modeling X Zhu, SK Damarla, K Hao, B Huang IEEE Transactions on Industrial Informatics 18 (8), 5190-5198, 2021 | 14 | 2021 |
| Chemometric monitoring: product quality assessment, process fault detection, and applications M Kundu, PK Kundu, SK Damarla CRC Press, 2017 | 13 | 2017 |
| ConvLSTM and self-attention aided canonical correlation analysis for multioutput soft sensor modeling X Zhu, SK Damarla, K Hao, B Huang, H Chen, Y Hua IEEE Transactions on Instrumentation and Measurement 72, 1-10, 2023 | 11 | 2023 |
| Fractional order processes: simulation, identification, and control SK Damarla, M Kundu CRC Press, 2018 | 11 | 2018 |
| Numerical solution of fractional order differential-algebraic equations using generalized triangular function operational matrices SK Damarla, M Kundu Journal of Fractional Calculus and Applications, 2015 | 8 | 2015 |
| Design of robust fractional PID controller using triangular strip operational matrices SK Damarla, M Kundu Fractional Calculus and Applied Analysis 18, 1291-1326, 2015 | 7 | 2015 |
| Classification of tea samples using learning vector quantization neural network S Damarla, M Kundu 2020 IEEE Applied Signal Processing Conference (ASPCON), 99-103, 2020 | 5 | 2020 |
| Monitoring of drum-boiler process using statistical techniques SK Damarla, M Kundu International Journal of Chemical Engineering and Applications (IJCEA), 2011 | 5 | 2011 |
| Practical linear regression-based method for detection and quantification of stiction in control valves SK Damarla, X Sun, F Xu, A Shah, J Amalraj, B Huang Industrial & Engineering Chemistry Research 61 (1), 502-514, 2021 | 4 | 2021 |
| Approximate solution of nonlinear fractional order biochemical reaction model by multistage new iterative method SK Damarla, M Kundu Journal of Fractional Calculus and Applications, 2014 | 4 | 2014 |
| Decoupling multivariable processes using partial least squares for decentralized control SK Damarla, M Kundu International Journal of Computer Applications 64 (5), 2013 | 4 | 2013 |
| Classification of unknown thermocouple types using similarity factor measurement SK Damarla, P Kundu Sensors & Transducers 124 (1), 11, 2011 | 4 | 2011 |
| Control valve stiction detection using Markov transition field and deep convolutional neural network A Memaria, SK Damarla, B Huang The Canadian Journal of Chemical Engineering 101 (11), 6114-6125, 2023 | 3 | 2023 |
| A sigmoid function based method for detection of stiction in control valves SK Damarla, X Sun, F Xu, A Shah, B Huang 2022 IEEE International Symposium on Advanced Control of Industrial …, 2022 | 3 | 2022 |
| Control of yeast fermentation bioreactor in subspace SK Damarla, M Kundu International Journal of Computer Applications 975, 8887, 2013 | 3 | 2013 |
| Statistical test-based practical methods for detection and quantification of stiction in control valves SK Damarla, X Sun, F Xu, A Shah, B Huang Industrial & Engineering Chemistry Research 62 (10), 4410-4421, 2023 | 2 | 2023 |
Madhusree KunduProfessor, Department of Chemical Engineering, National Institute of Technology RourkelaVerified email at nitrkl.ac.in
