Items where Author is "Rubab, S."

Article

Aslam, M. and Rahim, L.A.B. and Watada, J. and Rubab, S. and Khan, M.A. and AlQahtani, S.A. and Gadekallu, T.R. (2023) Cloud migration framework clustering method for social decision support in modernizing the legacy system. Transactions on Emerging Telecommunications Technologies.

Rehman, A. and Hassan, M.F.B. and Hooi, Y.K. and Qureshi, M.A. and Shukla, S. and Susanto, E. and Rubab, S. and Abdel-Aty, A. (2022) CTMF: Context-Aware Trust Management Framework for Internet of Vehicles. IEEE Access. p. 1.

Rashid, T. and Ali Ammar Taqvi, S. and Sher, F. and Rubab, S. and Thanabalan, M. and Bilal, M. and ul Islam, B. (2022) Corrigendum to �Enhanced lignin extraction and optimisation from oil palm biomass using neural network modelling� Fuel 293 (2021) 120485 (Fuel (2021) 293, (S0016236121003616), (10.1016/j.fuel.2021.120485)). Fuel, 322.

Rashid, T. and Ali Ammar Taqvi, S. and Sher, F. and Rubab, S. and Thanabalan, M. and Bilal, M. and ul Islam, B. (2022) Corrigendum to �Enhanced lignin extraction and optimisation from oil palm biomass using neural network modelling� Fuel 293 (2021) 120485 (Fuel (2021) 293, (S0016236121003616), (10.1016/j.fuel.2021.120485)). Fuel, 322.

Rashid, T. and Ali Ammar Taqvi, S. and Sher, F. and Rubab, S. and Thanabalan, M. and Bilal, M. and ul Islam, B. (2022) Corrigendum to �Enhanced lignin extraction and optimisation from oil palm biomass using neural network modelling� Fuel 293 (2021) 120485 (Fuel (2021) 293, (S0016236121003616), (10.1016/j.fuel.2021.120485)). Fuel, 322. ISSN 00162361

Taqvi, S.A.A. and Zabiri, H. and Uddin, F. and Naqvi, M. and Tufa, L.D. and Kazmi, M. and Rubab, S. and Naqvi, S.R. and Maulud, A.S. (2022) Simultaneous fault diagnosis based on multiple kernel support vector machine in nonlinear dynamic distillation column. Energy Science and Engineering, 10 (3). pp. 814-839.

Rubab, S. and Taqvi, S.A. and Hassan, M.F. (2019) Realizing the value of big data in process monitoring and control: Current issues and opportunities. Advances in Intelligent Systems and Computing, 843. pp. 128-138.

Rubab, S. and Taqvi, S.A. and Hassan, M.F. (2019) Realizing the value of big data in process monitoring and control: Current issues and opportunities. Advances in Intelligent Systems and Computing, 843. pp. 128-138.

Shah, S.N.M. and Mahmood, A.K. and Rubab, S. and Hassan, M.F. (2017) Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces. COMPSE 2016 - 1st EAI International Conference on Computer Science and Engineering.

Rubab, S. and Hassan, M.F. and Mahmood, A.K. and Shah, S.N.M. (2017) Proactive job scheduling and migration using artificial neural networks for volunteer grid. COMPSE 2016 - 1st EAI International Conference on Computer Science and Engineering.

Rubab, S. and Hassan, M.F. and Mahmood, A.K. and Shah, S.N.M. (2016) Application analysis: Theory of constraints for job scheduling on volunteer grid resources. Advanced Science Letters, 22 (10). pp. 2715-2718.

Rubab, S. and Hassan, M.F. and Mahmood, A.K. and Shah, S.N.M. (2016) Application analysis: Theory of constraints for job scheduling on volunteer grid resources. Advanced Science Letters, 22 (10). pp. 2715-2718.

Rubab, S. and Hassan, M.F. and Mahmood, A.K. and Shah, S.N.M. (2016) Application analysis: Theory of constraints for job scheduling on volunteer grid resources. Advanced Science Letters, 22 (10). pp. 2715-2718.

Rubab, S. and Hassan, M.F. and Mahmood, A.K. and Shah, S.N.M. (2016) Reliability driven constrained job scheduling on volunteer grid resources. Advanced Science Letters, 22 (10). pp. 2690-2694.

Rubab, S. and Hassan, M.F. and Mahmood, A.K. and Shah, S.N.M. (2016) Reliability driven constrained job scheduling on volunteer grid resources. Advanced Science Letters, 22 (10). pp. 2690-2694.

Conference or Workshop Item

Rubab, S. and Hassan, M.F. and Mahmood, A.K. and Shah, S.N.M. (2016) Random Forest Forecast (RFF): One hour ahead jobs in volunteer grid. In: UNSPECIFIED.

Rubab, S. and Hassan, M.F. and Mahmood, A.K. and Shah, S.N.M. (2015) Forecasting volunteer grid workload using Holt-Winters' method. In: UNSPECIFIED.

Rubab, S. and Hassan, M.F. and Mahmood, A.K. and Shah, S.N.M. (2015) Forecasting volunteer grid workload using Holt-Winters' method. In: UNSPECIFIED.

Rubab, S. and Hassan, M.F.B. and Mahmood, A.K.B. and Shah, N.M. (2014) A review on resource availability prediction methods in volunteer grid computing. In: UNSPECIFIED.