Publications

JOURNAL PAPERS

  1. M.A. Zaidan, D. Wraith, B.E. Boor, and T. Hussein. Bayesian proxy modelling for estimating black carbon concentrations using white-box and black-box models. Applied Sciences, 2019. (Accepted)
  2. M.A. Zaidan, M.A., L. Dada, M.A. Alghamdi, H. Al-Jeelani, H. Lihavainen, A. Hyvärinen, T. Hussein, Mutual information input selector and probabilistic machine learning utilisation for air pollution proxies. Applied Sciences, 2019, 9, 4475.
  3. M.A. Alghamdi, A. Al-Hunaiti, S. Arar, M. Khoder, A.S. Abdelmaksoud, H. Al-Jeelani, H. Lihavainen, A. Hyvärinen, I.I. Shabbaj, F.M. Almehmadi, M.A. Zaidan, T. Hussein, L. Dada. A predictive model for steady state ozone concentration at an urban-coastal site. International Journal of Environmental Research and Public Health. 2019; 16(2):258.
  4. M.A. Zaidan, V. Haapasilta, R. Relan, H. Junninen, P.P. Aalto, M. Kulmala, L. Laursson and A.S. Foster, Predicting atmospheric particle formation days by Bayesian classification of the time series features, Tellus B: Chemical & Physical Meteorology, 1-10, 2018.
  5. M. Stocker, P. Paasonen, M. Fiebig, M.A. Zaidan and A. Hardisty, Curating scientific information in knowledge infrastructures, Data Science Journal, 17, p.21, 2018.
  6. M.A. Zaidan, V. Haapasilta, R. Relan, P. Paasonen, V.-M. Kerminen, H. Junninen, M. Kulmala, and A. S. Foster, Exploring nonlinear associations between atmospheric new-particle formation and ambient variables: an information theoretic approach, Atmospheric Chemistry and Physics 18 (17), 12699-12714, 2018.
  7. M.A. Zaidan, F.F. Canova, L. Laurson, and A.S. Foster. Mixture of Clustered Bayesian Neural Networks for modeling friction processes at the nanoscale. Journal of Chemical Theory and Computation, 13: 3-8, 2017.
  8. M.A. Zaidan, A.R. Mills, R.F. Harrison, and P.J. Fleming. Gas turbine engine prognostics using Bayesian hierarchical models: a variational approach. Mechanical Systems and Signal Processing, 70-71:120-140, 2016.
  9. M.A. Zaidan, R. Relan, A.R. Mills, and R.F. Harrison. Prognostics of gas turbine engine: An integrated approach. Expert Systems with Applications, 42(22):8472-8483, 2015.
  10. M.A. Zaidan, R.F. Harrison, A.R. Mills, and P.J. Fleming. Bayesian hierarchical models for aerospace gas turbine engine prognostics. Expert Systems with Applications, 42(1):539-553, 2015.
  11. M. Omar, F.M. Aldebrez, M.A. Zaidan, and M.O. Tokhi. Hybrid intelligent control for set-point tracking of a flexible manoeuvring system using sigmoid activation function. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 227(6):944-965, 2013.
  12. M. Omar, M.A. Zaidan, and M.O. Tokhi. Dynamic modelling and control of a twin-rotor system using Adaptive Neuro-Fuzzy Inference System techniques. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 226(7):787-803, 2012.

CONFERENCE PAPERS

  1. N.H. Motlagh, M.A. Zaidan, E. Lagerspetz, S. Varjonen, J. Toivonen, J. Mineraud, A.R.-Hargrave, M. Siekkinen, T. Hussein, P. Nurmi and S. Tarkoma, indoor air quality monitoring using passive infrared motion detectors, In IEEE International Conference on Industrial Informatics, INDIN’19, Industrial Applications of Artificial Intelligence, 22-25 July 2019, Helsinki-Espoo, Finland
  2. E. Lagerspetz, N.H. Motlagh, M.A. Zaidan, P. L. Fung, J. Mineraud, S. Varjonen, M. Siekkinen, P. Nurmi, Y. Matsumi, S. Tarkoma, and T. Hussein, MegaSense: Feasibility of low-cost sensors for pollution hot-spot detection, In IEEE International Conference on Industrial Informatics, INDIN’19, Industrial Applications of Artificial Intelligence, 22-25 July 2019, Helsinki-Espoo, Finland
  3. M.A. Zaidan, V. Haapasilta, R. Relan, H. Junninen, P.P. Aalto, F.F. Canova, L. Laurson, and A.S. Foster. Neural network classifier on time series features for predicting atmospheric particle formation days. In The 20th International Conference on Nucleation and Atmospheric Aerosols, 2017.
  4. M.A. Zaidan, V. Haapasilta, R. Relan, H. Junninen, P.P. Aalto, F.F. Canova, L. Laurson, and A.S. Foster. Machine learning classifier for determining aerosol particle formation days. In Proceedings of the LI Annual Conference of the Finnish Physical Society, 2017.
  5. F. Zheng, J. Jiang, M.A. Zaidan, W. He, and M. Pecht. Prognostics of Lithium-ion batteries using deterministic Bayesian approach. In 2015 IEEE International Conference on Prognostics and Health Management, 2015.
  6. O.W. Laslett, A.R. Mills, M.A. Zaidan, and R.F. Harrison. Fusing an ensemble of diverse prognostic life predictions. In IEEE Aerospace Conference, 2014.
  7. Z. Skaf, M.A. Zaidan, R.F. Harrison, and A.R. Mills. Accommodating repair actions into gas turbine prognostics. In Annual conference of the prognostics and health management society 2013, 2013.
  8. M.A. Zaidan, A.R. Mills, and R.F. Harrison. Bayesian framework for aerospace gas turbine engine prognostics. In IEEE Aerospace Conference, 2013.
  9. M.A. Zaidan, A.R. Mills, and R.F. Harrison. Towards enhanced prognostics with advanced data-driven modelling. In The Eighth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, 2011.
  10. M. Omar, M. Mohamad, M.A. Zaidan, and M.O. Tokhi. An on-line approach for ANFIS modelling and control of a flexible manoeuvring system. In 2011 IEEE International Conference on Mechatronics (ICM), 2011.
  11. M. Omar, M.A. Zaidan, and M.O. Tokhi. Modelling of a flexible manoeuvring system using ANFIS techniques. In 2010 12th International Conference on Computer Modelling and Simulation, 2010.
  12. Z. Hussain, M.A. Zaidan, M.O. Tokhi, and R. Jailani. The Adaptive control of FES-assisted indoor rowing exercise. In 2009 CACS International Automatic Control Conference, 2009.
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