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Sazan Nariman Abdulhamid

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. Mahmoodzadeh, Arsalan / Mohammadi, Mokhtar / Nariman Abdulhamid, Sazan / Nejati, Hamid Reza / M Gharrib Noori, Krikar / Hashim Ibrahim, Hawkar / Farid Hama Ali, Hunar (2021): Predicting construction time and cost of tunnels using Markov chain model considering opinions of experts. In: Tunnelling and Underground Space Technology, v. 116 (October 2021).

    https://doi.org/10.1016/j.tust.2021.104109

  2. Mahmoodzadeh, Arsalan / Mohammadi, Mokhtar / Hashim Ibrahim, Hawkar / Nariman Abdulhamid, Sazan / Farid Hama Ali, Hunar / Mohammed Hasan, Ahmed / Khishe, Mohammad / Mahmud, Hoger (2021): Machine learning forecasting models of disc cutters life of tunnel boring machine. In: Automation in Construction, v. 128 (August 2021).

    https://doi.org/10.1016/j.autcon.2021.103779

  3. Mahmoodzadeh, Arsalan / Mohammadi, Mokhtar / M Gharrib Noori, Krikar / Khishe, Mohammad / Hashim Ibrahim, Hawkar / Farid Hama Ali, Hunar / Nariman Abdulhamid, Sazan (2021): Presenting the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques. In: Automation in Construction, v. 127 (July 2021).

    https://doi.org/10.1016/j.autcon.2021.103719

  4. Mahmoodzadeh, Arsalan / Mohammadi, Mokhtar / Nariman Abdulhamid, Sazan / Hashim Ibrahim, Hawkar / Farid Hama Ali, Hunar / Ghafoor Salim, Sirwan (2021): Dynamic reduction of time and cost uncertainties in tunneling projects. In: Tunnelling and Underground Space Technology, v. 109 (March 2021).

    https://doi.org/10.1016/j.tust.2020.103774

  5. Mahmoodzadeh, Arsalan / Mohammadi, Mokhtar / Hashim Ibrahim, Hawkar / Gharrib Noori, Krikar M. / Nariman Abdulhamid, Sazan / Farid Hama Ali, Hunar (2021): Forecasting sidewall displacement of underground caverns using machine learning techniques. In: Automation in Construction, v. 123 (March 2021).

    https://doi.org/10.1016/j.autcon.2020.103530

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