| Development and comparison of neural network based soft sensors for online estimation of cement clinker quality AK Pani, VK Vadlamudi, HK Mohanta ISA transactions 52 (1), 19-29, 2013 | 82 | 2013 |
| Online monitoring and control of particle size in the grinding process using least square support vector regression and resilient back propagation neural network AK Pani, HK Mohanta ISA transactions 56, 206-221, 2015 | 56 | 2015 |
| Online monitoring of cement clinker quality using multivariate statistics and Takagi-Sugeno fuzzy-inference technique AK Pani, HK Mohanta Control Engineering Practice 57, 1-17, 2016 | 55 | 2016 |
| Soft sensing of product quality in the debutanizer column with principal component analysis and feed-forward artificial neural network AK Pani, KG Amin, HK Mohanta Alexandria Engineering Journal 55 (2), 1667-1674, 2016 | 50 | 2016 |
| Soft sensing of particle size in a grinding process: Application of support vector regression, fuzzy inference and adaptive neuro fuzzy inference techniques for online … AK Pani, HK Mohanta Powder technology 264, 484-497, 2014 | 50 | 2014 |
| A survey of data treatment techniques for soft sensor design AK Pani, HK Mohanta Chemical Product and Process Modeling 6 (1), 2011 | 41 | 2011 |
| Quality monitoring in petroleum refinery with regression neural network: Improving prediction accuracy with appropriate design of training set H Singh, AK Pani, HK Mohanta Measurement 134, 698-709, 2019 | 33 | 2019 |
| Adaptive non-linear soft sensor for quality monitoring in refineries using Just-in-Time Learning—Generalized regression neural network approach V Vijayan S., HK Mohanta, AK Pani Applied Soft Computing 119, 108546, 2022 | 27 | 2022 |
| Data driven soft sensor of a cement mill using generalized regression neural network AK Pani, KG Amin, HK Mohanta 2012 International Conference on Data Science & Engineering (ICDSE), 98-102, 2012 | 21 | 2012 |
| Support vector regression modeling in recursive just-in-time learning framework for adaptive soft sensing of naphtha boiling point in crude distillation unit V Vijayan S., HK Mohanta, AK Pani Petroleum Science 18 (4), 1230-1239, 2021 | 19 | 2021 |
| Independent component analysis application for fault detection in process industries: Literature review and an application case study for fault detection in multiphase flow systems GLP Palla, AK Pani Measurement 209, 112504, 2023 | 18 | 2023 |
| Real-time quality monitoring in debutanizer column with regression tree and ANFIS K Siddharth, A Pathak, AK Pani Journal of Industrial Engineering International 15, 41-51, 2019 | 15 | 2019 |
| Neural network soft sensor application in cement industry: Prediction of clinker quality parameters AK Pani, V Vadlamudi, RJ Bhargavi, HK Mohanta 2011 International Conference on Process Automation, Control and Computing, 1-6, 2011 | 14 | 2011 |
| Pollutant monitoring in tail gas of sulfur recovery unit with statistical and soft computing models A Morey, S Pradhan, RA Kumar, AK Pani, V Vijayan S, V Jain, A Gupta Chemical Engineering Communications 206 (1), 69-85, 2019 | 13 | 2019 |
| Inferential sensing of output quality in petroleum refinery using principal component regression and support vector regression V Jain, P Kishore, RA Kumar, AK Pani 2017 IEEE 7th International Advance Computing Conference (IACC), 461-465, 2017 | 11 | 2017 |
| A hybrid soft sensing approach of a cement mill using principal component analysis and artificial neural networks AK Pani, HK Mohanta 2013 3rd IEEE International Advance Computing Conference (IACC), 713-718, 2013 | 11 | 2013 |
| Non-linear process monitoring using kernel principal component analysis: A review of the basic and modified techniques with industrial applications AK Pani Brazilian Journal of Chemical Engineering 39 (2), 327-344, 2022 | 10 | 2022 |
| Fault detection of complex processes using nonlinear mean function based Gaussian process regression: application to the Tennessee eastman process A Maran Beena, AK Pani Arabian Journal for Science and Engineering 46 (7), 6369-6390, 2021 | 9 | 2021 |
| Machine learning approaches for data-driven process monitoring of biological wastewater treatment plant: A review of research works on benchmark simulation model No. 1 (BSM1) A Khurshid, AK Pani Environmental Monitoring and Assessment 195 (8), 916, 2023 | 4 | 2023 |
| Adaptive soft sensor design using a regression neural network and bias update strategy for non-linear industrial processes SV Vijayan, HK Mohanta, BK Rout, AK Pani Measurement Science and Technology 34 (8), 085012, 2023 | 3 | 2023 |
Hare Krishna MohantaBirla Institute of Technology and Science (BITS), PilaniVerified email at pilani.bits-pilani.ac.in
