Browsing by Author Pani, Ajaya Kumar
Showing results 1 to 20 of 20
| Issue Date | Title | Author(s) |
| 2023-05 | Adaptive soft sensor design using a regression neural network and bias update strategy for non-linear industrial processes | Rout, Bijay Kumar; Mohanta, Hare Krishna; Pani, Ajaya Kumar |
| 2010-01-04 | Application of Soft Sensors in Process Monitoring and Control: A Review | Mohanta, Hare Krishna; Pani, Ajaya Kumar |
| 2020-02 | Back Pressure Monitoring of Power Plant Condenser Using Multiple Adaptive Regression Spline | Pani, Ajaya Kumar |
| 2013-01 | Development and comparison of neural network based soft sensors for online estimation of cement clinker quality | Mohanta, Hare Krishna; Pani, Ajaya Kumar |
| 2020-11-16 | Fault Detection of Complex Processes Using nonlinear Mean Function Based Gaussian Process Regression: Application to the Tennessee Eastman Process | Pani, Ajaya Kumar |
| 2013 | A hybrid soft sensing approach of a cement mill using principal component analysis and artificial neural networks | Pani, Ajaya Kumar; Mohanta, Hare Krishna |
| 2017 | Inferential Sensing of Output Quality in Petroleum Refinery Using Principal Component Regression and Support Vector Regression | Pani, Ajaya Kumar |
| 2011 | Neural Network Soft Sensor Application in Cement Industry: Prediction of Clinker Quality Parameters | Pani, Ajaya Kumar; Mohanta, Hare Krishna |
| 2021-07-04 | Non-linear process monitoring using kernel principal component analysis: A review of the basic and modified techniques with industrial applications | Pani, Ajaya Kumar |
| 2015-05 | Online monitoring and control of particle size in the grinding process using least square support vector regression and resilient back propagation neural network | Mohanta, Hare Krishna; Pani, Ajaya Kumar |
| 2016-12 | Online monitoring of cement clinker quality using multivariate statistics and Takagi-Sugeno fuzzy-inference technique | Pani, Ajaya Kumar; Mohanta, Hare Krishna |
| 2019-02 | Quality monitoring in petroleum refinery with regression neural network: Improving prediction accuracy with appropriate design of training set | Pani, Ajaya Kumar; Mohanta, Hare Krishna |
| 2018-05-31 | Real-time quality monitoring in debutanizer column with regression tree and ANFIS | Pani, Ajaya Kumar |
| 2014-09 | Soft sensing of particle size in a grinding process: Application of support vector regression, fuzzy inference and adaptive neuro fuzzy inference techniques for online monitoring of cement fineness | Mohanta, Hare Krishna; Pani, Ajaya Kumar |
| 2016-06 | Soft sensing of product quality in the debutanizer column with principal component analysis and feed-forward artificial neural network | Pani, Ajaya Kumar; Mohanta, Hare Krishna |
| 2018 | Software sensor development for product concentration monitoring in fed-batch fermentation process using dynamic principal component regression | Pani, Ajaya Kumar |
| 2021-08-15 | Support vector regression modeling in recursive just-in-time learning framework for adaptive soft sensing of naphtha boiling point in crude distillation unit | Pani, Ajaya Kumar; Mohanta, Hare Krishna |
| 2011-01-03 | A survey of data treatment techniques for soft sensor design. Chemical Product and Process Modeling | Mohanta, Hare Krishna; Pani, Ajaya Kumar |
| 2020 | Temperature Optimization in Non-isothermal Tubular Reactor using Genetic Algorithm | Pani, Ajaya Kumar |
| 2020-02 | Variable selection and modeling from NIR spectra data: A case study of diesel quality prediction using LASSO and Regression Tree | Pani, Ajaya Kumar |
