ag赌博

Mechatronics Engineering Program

Books:

  1. Sadasivuni, K.K., Ouakad, H.M., Al-Maadeed, S., Yalcin, H.C., and Bahadur, I.B., 2022. Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods. John Wiley & Sons 1st Edition, Print ISBN 978-1-119-81301-9; Online ISBN 978-1-119-81304-0; eBook ISBN 978-1-119-81303-3.
  2. Zaier, R. 2012. The Future of Humanoid Robots: Research and Applications . INTECH International Publishers, ISBN 978-953-307-951-6 20.


Book Chapters:

  1. Alzebdeh, Khalid, Nasr Al Hinai, Mahmoud Al Safy, and Mahmoud Nassar. "Recycled polymer bio-based composites: A review of compatibility and performance issues." Recycled Polymer Blends and Composites: Processing, Properties, and Applications, pp. 363-387, 2023.
  2. Zarog, M., 2022. Self-Powering Wireless Sensor Networks in the Oil and Gas Industry. In Nanogenerators and Self-Powered Systems, Dudem, B., Venkateswaran, V., and Chandrasekhar, A. (eds).
  3. Salman, H.E., Al-Ruweidi, M.K.A.A., Ouakad, H.M., and Yalcin, H.C., 2022. Minimally Invasive and Non鈥� Invasive Sensor Technologies for Predicting Heart Failure: An Overview. In Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods, Sadasivuni, K.K., Ouakad, H.M., Al-Maadeed, S., Yalcin, H.C., and Bahadur, I.B. (eds), pp. 109 鈥� 138
  4. Al-Harthi, F. Al-badi, M., Al Abri, R. and Al Badi, A.H. 2021. Variability Analysis of PV Systems Output. In: Solar PV Power Intermittency and Implications on Power Systems, Cambridge Scholars Publishing, pp. 70-88.听
  5. Malik, A. S., and Albadi, M. 2021. Capacity Value of Photovoltaics for Estimating the Adequacy of a Power Generation System. In: Solar Photovoltaic Power Intermittency and Implications on Power Systems, pp. 155-182.
  6. Bait-Suwailam, M.M., Tbaileh, R.M., Al-Lawati, H. and Al-Mulla, Y., 2022. Microwave Sensors for Soil Moisture Detection: An Application toward Healthy Date Palm. In: Soil Moisture, IntechOpen.听
  7. Khriji, L., Fradi, M., Machhout, M. and Hossen A. 2020. Deep Learning-based Approach for Atrial Fibrillation Detection. In: The Impact of Digital Technologies on Public Health in Developed and Developing Countries, LNCS 12157, Springer, pp. 100-113.听
  8. Albadi, M. 2019. Power Flow Analysis, In Computational Models in Engineering. Intechopen, DOI: 10.5772/intechopen.83374.听
  9. Qamar SZ., Al-Kindi M., 2019. Renewability and Sustainability: Current Status and Future Prospects. In: Reference Module in Materials Science and Materials Engineering, Elsevier, pp. ISBN 9780128035818.
  10. Ghommam, J., and Mnif, F. 2017, Robust adaptive maneuvering control of an autonomous surface vessel in the presence of ocean currents and parametric model uncertainty, Studies in Systems and Control, Springer, vol. 79, pp.119-134.
  11. Ghommam, J., Chemori, A, Mnif, F. 2017, Finite-time stabilization of underactuated mechanical systems in the presence of uncertainties: application to the cart鈥損ole system. The Inverted Pendulum in Control Theory and Robotics: From Theory to new innovations, Studies in Systems and Control, IET, Chapter 8, pp 165, 2017.
  12. Zaier R. 2018. Reflex Control. In: Goswami A., Vadakkepat P. (Eds) Humanoid Robotics: A Reference. Springer, Dordrecht.听听ISBN 978-94-007-7194-9.
  13. Ghommam, J., and Mnif, F. 2017, Robust adaptive maneuvering control of an autonomous surface vessel in the presence of ocean currents and parametric model uncertainty, Studies in Systems and Control, Springer, vol. 79, pp.119-134.
  14. Ghommam, J., Chemori, A, Mnif, F. 2017, Finite-time stabilization of underactuated mechanical systems in the presence of uncertainties: application to the cart鈥損ole system. The Inverted Pendulum in Control Theory and Robotics: From Theory to new innovations, Studies in Systems and Control, IET, Chapter 8, pp 165, 2017.
  15. Al Yahmedi, A. and Fatmi, M. 2011. Fuzzy Logic Based Navigation of Mobile Robots. In: Andon Venelinov Topalov (Ed.). Recent Advances in Mobile Robotics . INYECH, pp. 287-310.
  16. Zaier, R. 2012. Design of Oscillatory Neural Network for Locomotion Control of Humanoid Robots. In: Zaier, R. (Ed.). The Future of Humanoid Robots Research and Applications . INTECH International Publishers, pp. 41-60.
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