Items where Author is "Marappagounder, R."

Article

Deshannavar, U.B. and Marappagounder, R. (2021) Revisiting Threshold Fouling Models for Crude Oil Fouling. Heat Transfer Engineering, 42 (17). pp. 1489-1505.

Yaqub, M.W. and Marappagounder, R. and Rusli, R. and Reddy Prasad, D.M. and Pendyala, R. (2020) Flow pattern identification and measurement techniques in gas-liquid-liquid three-phase flow: A review. Flow Measurement and Instrumentation, 76.

Zabiri, H. and Marappagounder, R. and Ramli, N.M. (2018) Parallel based support vector regression for empirical modeling of nonlinear chemical process systems. Sains Malaysiana, 47 (3). pp. 635-643.

Zabiri, H. and Marappagounder, R. and Ramli, N.M. (2018) Parallel based support vector regression for empirical modeling of nonlinear chemical process systems. Sains Malaysiana, 47 (3). pp. 635-643.

Hori, Y. and Yamamoto, H. and Suzuki, T. and Okitsu, J. and Nakamura, T. and Maeda, T. and Matsuo, T. and Bt Zabiri, H. and Tufa, L.D. and Marappagounder, R. (2017) Online anomaly detection of distillation tower system using adaptive resonance theory. Journal of Chemical Engineering of Japan, 50 (6Speci). pp. 430-438.

Shetty, N. and Deshannavar, U.B. and Marappagounder, R. and Pendyala, R. (2016) Improved threshold fouling models for crude oils. Energy, 111. pp. 453-467.

Shetty, N. and Deshannavar, U.B. and Marappagounder, R. and Pendyala, R. (2016) Improved threshold fouling models for crude oils. Energy, 111. pp. 453-467.

Negash, B.M. and Tufa, L.D. and Marappagounder, R. and Awang, M.B. (2016) Performance prediction of a reservoir under gas injection, using output error model. Contemporary Engineering Sciences, 9 (29-32). pp. 1479-1489.

Negash, B.M. and Tufa, L.D. and Marappagounder, R. and Awang, M.B. (2016) Performance prediction of a reservoir under gas injection, using output error model. Contemporary Engineering Sciences, 9 (29-32). pp. 1479-1489.

Conference or Workshop Item

Negash, B.M. and Tufa, L.D. and Marappagounder, R. and Awang, M.B. (2016) Conceptual framework for using system identification in reservoir production forecasting. In: UNSPECIFIED.