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Edy Tonnizam Mohamad

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. Mustafa, Rashid / Samui, Pijush / Kumari, Sunita / Mohamad, Edy Tonnizam / Bhatawdekar, Ramesh Murlidhar (2023): Probabilistic analysis of gravity retaining wall against bearing failure. In: Asian Journal of Civil Engineering, v. 24, n. 8 (June 2023).

    https://doi.org/10.1007/s42107-023-00697-z

  2. Armaghani, Danial Jahed / Yagiz, Saffet / Mohamad, Edy Tonnizam / Zhou, Jian (2021): Prediction of TBM performance in fresh through weathered granite using empirical and statistical approaches. In: Tunnelling and Underground Space Technology, v. 118 (December 2021).

    https://doi.org/10.1016/j.tust.2021.104183

  3. Murlidhar, Bhatawdekar Ramesh / Armaghani, Danial Jahed / Mohamad, Edy Tonnizam (2020): Intelligence Prediction of Some Selected Environmental Issues of Blasting: A Review. In: The Open Construction and Building Technology Journal, v. 14, n. 1 (18 February 2020).

    https://doi.org/10.2174/1874836802014010298

  4. Zhou, Jian / Qiu, Yingui / Zhu, Shuangli / Armaghani, Danial Jahed / Khandelwal, Manoj / Mohamad, Edy Tonnizam (2021): Estimating TBM advance rate in hard rock condition using XGBoost and Bayesian optimization. In: Underground Space, v. 6, n. 5 (October 2021).

    https://doi.org/10.1016/j.undsp.2020.05.008

  5. Latifi, Nima / Horpibulsuk, Suksun / Meehan, Christopher L. / Abd Majid, Muhd Zaimi / Tahir, Mahmood Md / Mohamad, Edy Tonnizam (2017): Improvement of Problematic Soils with Biopolymer—An Environmentally Friendly Soil Stabilizer. In: Journal of Materials in Civil Engineering (ASCE), v. 29, n. 2 (February 2017).

    https://doi.org/10.1061/(asce)mt.1943-5533.0001706

  6. Armaghani, Danial Jahed / Mohamad, Edy Tonnizam / Narayanasamy, Mogana Sundaram / Narita, Nobuya / Yagiz, Saffet (2017): Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition. In: Tunnelling and Underground Space Technology, v. 63 (March 2017).

    https://doi.org/10.1016/j.tust.2016.12.009

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