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. (2024) Cloud migration framework clustering method for social decision support in modernizing the legacy system. Transactions on Emerging Telecommunications Technologies, 35 (4).

Rehman, A. and Hassan, M.F. and Hooi, Y.K. and Qureshi, M.A. and Shukla, S. and Susanto, E. and Rubab, S. and Abdel-Aty, A.-H. (2022) CTMF: Context-Aware Trust Management Framework for Internet of Vehicles. IEEE Access, 10. pp. 73685-73701. ISSN 21693536

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. ISSN 20500505

Rashid, T. and Ali Ammar Taqvi, S. and Sher, F. and Rubab, S. and Thanabalan, M. and Bilal, M. and ul Islam, B. (2021) Enhanced lignin extraction and optimisation from oil palm biomass using neural network modelling. Fuel, 293. ISSN 00162361

Rubab, S. and Hassan, M.F. and Mahmood, A. and Mehmood, N. (2019) QoS based multi-constraints bin packing job scheduling heuristic for heterogeneous volunteer grid resources. International Arab Journal of Information Technology, 16 (4). pp. 661-668. ISSN 16833198

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. ISSN 21945357

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. ISSN 19366612

Rubab, S. and Hassan, M.F. and Mahmood, A.K. and Shah, S.N.M. (2016) Performance management using autonomous control-based distributed coordination approach in a volunteer grid computing environment. Advances in Intelligent Systems and Computing, 465. pp. 457-469. ISSN 21945357

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. ISSN 19366612

Conference or Workshop Item

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. In: UNSPECIFIED.

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. In: UNSPECIFIED.

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) Adoptability Study of Bin-Packing for Scheduling Jobs on Volunteer Grid Resources. 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.