1. Weera, W., C. Zamart, Z. Sabir, M.A.Z. Raja and A.S. Alwabli et al., 2023. Fractional order environmental and economic model investigations using artificial neural network. Comput. Mater. Continua, 74: 1735-1748.
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2. Khan, Z.A., N.I. Chaudhary, W.A. Abbasi, S.H. Ling and M.A.Z. Raja, 2023. Design of confidence-integrated denoising auto-encoder for personalized top-n recommender systems. Mathematics, Vol. 11. 10.3390/math11030761.
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3. Botmart, T., Q. Hiader, Z. Sabir, M.A.Z. Raja and W. Weera, 2023. Stochastic investigations for the fractional vector-host diseased based saturated function of treatment model. Comput. Mater. Continua, 74: 559-573.
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4. Awan, S.E., M. Awais, M.A.Z. Raja, S.U. Rehman and C.M. Shu, 2023. Bayesian regularization knack-based intelligent networks for thermo-physical analysis of 3D MHD nanofluidic flow model over an exponential stretching surface. Eur. Phys. J. Plus, Vol. 138. 10.1140/epjp/s13360-022-03607-5.
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5. Umar, M., Kusen, M.A.Z. Raja, Z. Sabir and Q. Al-Mdallal, 2022. A computational framework to solve the nonlinear dengue fever SIR system. Comput. Methods Biomech. Biomed. Eng., 25: 1821-1834.
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6. Suantai, S., Z. Sabir, M.A.Z. Raja and W. Cholamjiak, 2022. A stochastic Bayesian neural network for the mosquito dispersal mathematical system. Fractal Fract., Vol. 6. 10.3390/fractalfract6100604.
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7. Shoaib, M., S. Naz, M.A.Z. Raja, S. Aslam, I. Ahmad and K.S. Nisar, 2022. A design of soft computing intelligent networks for MHD Carreau nanofluid model with thermal radiation. Int. J. Mod. Phys. B, Vol. 36. 10.1142/S0217979222501922.
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8. Shoaib, M., R. Tabassum, M.A.Z. Raja, K.S. Nisar, M.S. Alqahtani and M. Abbas, 2022. A design of predictive computational network for transmission model of lassa fever in Nigeria. Results Phys., Vol. 39. 10.1016/j.rinp.2022.105713.
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9. Shoaib, M., I. Naz, M.I. Khan, M.A.Z. Raja, G. Zubair, K.S. Nisar and K. Guedri, 2022. Artificial intelligence knacks-based stochastic paradigm to study lie group analysis with the impact of electric field on MHD Prandtl–Eyring fluid flow system. Int. J. Mod. Phys. B, Vol. 36. 10.1142/S0217979222502162.
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10. Shoaib, M., I. Naz, M.A.Z. Raja and K.S. Nisar, 2022. A design of an intelligent computing networks to study impacts of porous dissipation and slip for boundary layer flow along Darcy-Brinkman porous media. Int. Commun. Heat Mass Transfer, Vol. 135. 10.1016/j.icheatmasstransfer.2022.106127.
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11. Shoaib, M., A.Z. Abbasi, M.A.Z. Raja and K.S. Nisar, 2022. A design of predictive computational network for the analysis of fractional epidemical predictor-prey model. Chaos, Solitons Fractals, Vol. 165. 10.1016/J.CHAOS.2022.112812.
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12. Shoaib, M., A. Haider, M.A.Z. Raja and K.S. Nisar, 2022. Artificial intelligence knacks-based computing for stochastic COVID-19 SIRC epidemic model with time delay. Int. J. Mod. Phys. B, Vol. 36. 10.1142/S0217979222501740.
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13. Shah, Z., M.A.Z. Raja, W.A. Khan, M. Shoaib, Z. Asghar, M. Waqas and T. Muhammad, 2022. Application of Levenberg-Marquardt technique for electrical conducting fluid subjected to variable viscosity. Indian J. Phys., 96: 3901-3919.
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14. Sabir, Z., T. Botmart, M.A.Z. Raja, W. Weera and R. Sadat et al., 2022. Artificial neural network scheme to solve the nonlinear influenza disease model. Biomed. Signal Process. Control, Vol. 75. 10.1016/j.bspc.2022.103594.
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15. Sabir, Z., T. Botmart, M.A.Z. Raja and W. Weera, 2022. An advanced computing scheme for the numerical investigations of an infection-based fractional-order nonlinear prey-predator system. PLoS ONE, Vol. 17. 10.1371/JOURNAL.PONE.0265064.
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16. Sabir, Z., M.R. Ali, M.A.Z. Raja, M. Shoaib, R.A.S. NåÜez and R. Sadat, 2022. Correction to: Computational intelligence approach using Levenberg-Marquardt backpropagation neural networks to solve the fourth‑order nonlinear system of Emden-Fowler model. Eng. Comput., Vol. 38. 10.1007/s00366-022-01652-3.
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17. Sabir, Z., M.A.Z. Raja, T.G. Nguyen, I. Fathurrochman, R. Sadat and M.R. Ali, 2022. Applications of neural networks for the novel designed of nonlinear fractional seventh order singular system. Eur. Phys. J. Spec. Top., 231: 1831-1845.
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18. Sabir, Z., M.A.Z. Raja, S.R. Mahmoud, M. Balubaid and A. Algarni et al., 2022. A novel design of morlet wavelet to solve the dynamics of nervous stomach nonlinear model. Int. J. Comput. Intell. Syst., Vol. 15. 10.1007/s44196-021-00057-2.
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19. Sabir, Z., M.A.Z. Raja, S.R. Mahmoud, J.l.G. Guirao and J.M. SÌnchez, 2022. A heuristic computing approach using sequential quadratic programming to solve the fifth kind of induction motor model. Fractals, Vol. 30. 10.1142/S0218348X2240240X.
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20. Sabir, Z., M.A.Z. Raja, S.E. Alhazmi, M. Gupta, A. Arbi and I.A. Baba, 2022. Applications of artificial neural network to solve the nonlinear COVID-19 mathematical model based on the dynamics of SIQ. J. Taibah Univ. Sci., 16: 874-884.
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21. Sabir, Z., M.A.Z. Raja, D.N. Le and A.A. Aly, 2022. A neuro-swarming intelligent heuristic for second-order nonlinear Lane-Emden multi-pantograph delay differential system. Complex Intell. Syst., 8: 1987-2000.
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22. Sabir, Z., M. Umar, M.A.Z. Raja, H.M. Baskonus and W. Gao, 2022. Designing of Morlet wavelet as a neural network for a novel prevention category in the HIV system. Int. J. Biomath., Vol. 15. 10.1142/S1793524522500127.
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23. Raja, M.A.Z., M. Shoaib, S. Hussain, K.S. Nisar and S. Islam, 2022. Computational intelligence of Levenberg-Marquardt backpropagation neural networks to study thermal radiation and Hall effects on boundary layer flow past a stretching sheet. Int. Commun. Heat Mass Transfer, Vol. 130. 10.1016/j.icheatmasstransfer.2021.105799.
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24. Raja, M.A.Z., M. Shoaib, R. Tabassum, M.I. Khan, C.G. Jagannatha, C. Gali and S. Elattar, 2022. A stochastic intelligent approach for entropy optimized mixed convective second-order slip flow over a movable surface. Arch. Appl. Mech., 92: 2435-2454.
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25. Raja, M.A.Z., H. Naz, M. Shoaib and A. Mehmood, 2022. Design of backpropagated neurocomputing paradigm for Stuxnet virus dynamics in control infrastructure. Neural Comput. Appl., 34: 5771-5790.
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26. Nuwairan, M.A., Z. Sabir, M.A.Z. Raja, M. Alnami and H. Almuslem, 2022. A stochastic study of the fractional order model of waste plastic in oceans. Comput. Mater. Continua, 73: 4441-4454.
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27. Noinang, S., Z. Sabir, S. Javeed, M.A.Z. Raja, D. Ali, W. Weera and T. Botmart, 2022. A novel stochastic framework for the MHD generator in ocean. Comput. Mater. Continua, 73: 3383-3402.
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28. Mukdasai, K., Z. Sabir, M.A.Z. Raja, R. Sadat, M.R. Ali and P. Singkibud, 2022. A numerical simulation of the fractional order Leptospirosis model using the supervise neural network. Alexandria Eng. J., 61: 12431-12441.
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29. Mouktonglang, T., Z. Sabir, M.A.Z. Raja, S. Bhatti, T. Botmart, W. Weera and C. Zamart, 2022. Designing Meyer wavelet neural networks for the three-species food chain model. AIMS Math., 8: 61-75.
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30. Khan, W.U., M.A.Z. Raja, Y. He and N.I. Chaudhary, 2022. A novel application of integrated grasshopper optimization heuristics for attenuation of noise interferences. Ain Shams Eng. J., Vol. 13. 10.1016/j.asej.2021.06.022.
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31. Junswang, P., Z. Sabir, M.A.Z. Raja, S. Salahshour, T. Botmart and W. Weera, 2022. An advanced stochastic numerical approach for host-vector-predator nonlinear model. Comput. Mater. Continua, 72: 5823-5843.
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32. Guirao, J.L.G., Z. Sabir, M.A.Z. Raja and D. Baleanu, 2022. Design of neuro-swarming computational solver for the fractional Bagley-Torvik mathematical model. Eur. Phys. J. Plus, Vol. 137. 10.1140/epjp/s13360-022-02421-3.
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33. Bukhari, A.H., M.A.Z. Raja, N. Rafiq, M. Shoaib, A.K. Kiani and C.M. Shu, 2022. Design of intelligent computing networks for nonlinear chaotic fractional Rossler system. Chaos Solitons Fractals, Vol. 157. 10.1016/j.chaos.2022.111985.
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34. Botmart, T., Z. Sabir, M.A.Z. Raja, W. Weera, R. Sadat and M.R. Ali, 2022. A numerical study of the fractional order dynamical nonlinear susceptible infected and quarantine differential model using the stochastic numerical approach. Fractal Fract., Vol. 6. 10.3390/FRACTALFRACT6030139.
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35. Botmart, T., Z. Sabir, M.A.Z. Raja, W. Weera and M.R. Ali et al., 2022. A hybrid swarming computing approach to solve the biological nonlinear Leptospirosis system. Biomed. Signal Process. Control, Vol. 77. 10.1016/j.bspc.2022.103789.
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36. Botmart, T., W. Weera, M.A.Z. Raja, Z. Sabir and Q. Hiader et al., 2022. Dynamics of fractional differential model for schistosomiasis disease. Comput. Mater. Continua, 73: 981-999.
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37. Anwar, N., I. Ahmad, M.A.Z. Raja, S. Naz, M. Shoaib and A.K. Kiani, 2022. Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays. Eur. Phys. J. Plus, Vol. 137. 10.1140/EPJP/S13360-021-02248-4.
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