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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
2023-03	Independent component analysis application for fault detection in process industries: Literature review and an application case study for fault detection in multiphase flow systems	Pani, Ajaya Kumar
2017	Inferential Sensing of Output Quality in Petroleum Refinery Using Principal Component Regression and Support Vector Regression	Pani, Ajaya Kumar
2024	An integrated approach combining randomized kernel PCA, Gaussian mixture modeling and ICA for fault detection in non-linear processes	Pani, Ajaya Kumar
2023-07	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)	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

Showing results 1 to 20 of 23 next >