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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Liu, Tong / Meidani, Hadi: Neural Network Surrogate Models for Aerodynamic Analysis in Truck Platoons: Implications on Autonomous Freight Delivery. In: International Journal of Transportation Science and Technology.

    https://doi.org/10.1016/j.ijtst.2024.02.002

  2. Liu, Tong / Meidani, Hadi (2023): Physics-Informed Neural Networks for System Identification of Structural Systems with a Multiphysics Damping Model. In: Journal of Engineering Mechanics (ASCE), v. 149, n. 10 (October 2023).

    https://doi.org/10.1061/jenmdt.emeng-7060

  3. Nabian, Mohammad Amin / Gladstone, Rini Jasmine / Meidani, Hadi (2021): Efficient training of physics‐informed neural networks via importance sampling. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 8 (8 July 2021).

    https://doi.org/10.1111/mice.12685

  4. Meidani, Hadi / Ghanem, Roger (2013): Multiscale Markov models with random transitions for energy demand management. In: Energy and Buildings, v. 61 (June 2013).

    https://doi.org/10.1016/j.enbuild.2013.02.020

  5. Nabian, Mohammad Amin / Meidani, Hadi (2018): Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks. In: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 6 (May 2018).

    https://doi.org/10.1111/mice.12359

  6. Todorovska, Maria I. / Meidani, Hadi / Trifunac, Mihailo D. (2009): Wavelet approximation of earthquake strong ground motion-goodness of fit for a database in terms of predicting nonlinear structural response. In: Soil Dynamics and Earthquake Engineering, v. 29, n. 4 (April 2009).

    https://doi.org/10.1016/j.soildyn.2008.08.001

  7. Meidani, Hadi / Ghanem, Roger (2015): Random Markov decision processes for sustainable infrastructure systems. In: Structure and Infrastructure Engineering, v. 11, n. 5 (June 2015).

    https://doi.org/10.1080/15732479.2014.893445

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