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Publicité

Pijush Samui ORCID

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Kumar, Abhishek / Rai, Baboo / Samui, Pijush (2024): Soft computing-based reliability analysis of simply supported beam: a comparative study of hybrid ANN models. Dans: Asian Journal of Civil Engineering, v. 25, n. 4 (février 2024).

    https://doi.org/10.1007/s42107-023-00969-8

  2. Kumar, Manish / Biswas, Rahul / Kumar, Divesh Ranjan / Samui, Pijush / Kaloop, Mosbeh R. / Eldessouki, Mohamed (2023): Soft computing-based prediction models for compressive strength of concrete. Dans: Case Studies in Construction Materials, v. 19 (décembre 2023).

    https://doi.org/10.1016/j.cscm.2023.e02321

  3. Kumar, Divesh Ranjan / Samui, Pijush / Wipulanusat, Warit / Keawsawasvong, Suraparb / Sangjinda, Kongtawan / Jitchaijaroen, Wittaya (2023): Soft-Computing Techniques for Predicting Seismic Bearing Capacity of Strip Footings in Slopes. Dans: Buildings, v. 13, n. 6 (23 mai 2023).

    https://doi.org/10.3390/buildings13061371

  4. Kaloop, Mosbeh R. / Samui, Pijush / Kim, Jae-Joung / Hu, Jong Wan / Ramzy, Ahmed (2022): Stress intensity factor prediction on offshore pipelines using surrogate modeling techniques. Dans: Case Studies in Construction Materials, v. 16 (juin 2022).

    https://doi.org/10.1016/j.cscm.2022.e01045

  5. Kaloop, Mosbeh R. / Samui, Pijush / Iqbal, Mudassir / Hu, Jong Wan (2022): Soft computing approaches towards tensile strength estimation of GFRP rebars subjected to alkaline-concrete environment. Dans: Case Studies in Construction Materials, v. 16 (juin 2022).

    https://doi.org/10.1016/j.cscm.2022.e00955

  6. Asteris, Panagiotis G. / Skentou, Athanasia D. / Bardhan, Abidhan / Samui, Pijush / Lourenço, Paulo B. (2021): Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests. Dans: Construction and Building Materials, v. 303 (octobre 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.124450

  7. Samui, Pijush / Sitharam, T. G. (2010): Site Characterization Model Using Artificial Neural Network and Kriging. Dans: International Journal of Geomechanics, v. 10, n. 5 (octobre 2010).

    https://doi.org/10.1061/(asce)1532-3641(2010)10:5(171)

  8. Samui, Pijush / Kurup, Pradeep (2013): Use of the Relevance Vector Machine for Prediction of an Overconsolidation Ratio. Dans: International Journal of Geomechanics, v. 13, n. 1 (février 2013).

    https://doi.org/10.1061/(asce)gm.1943-5622.0000172

  9. Samui, Pijush / Kim, Dookie (2012): Utilization of support vector machine for prediction of fracture parameters of concrete. Dans: Computers and Concrete, v. 9, n. 3 (mars 2012).

    https://doi.org/10.12989/cac.2012.9.3.215

  10. Samui, Pijush (2007): Seismic liquefaction potential assessment by using Relevance Vector Machine. Dans: Earthquake Engineering and Engineering Vibration, v. 6, n. 4 (décembre 2007).

    https://doi.org/10.1007/s11803-007-0766-7

  11. Samui, Pijush / Kim, Dookie / Kakoti, Namrata (2018): Soft Computing Applied to Rotation Capacity of Wide Flange Beams. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 42, n. 3 ( 2018).

    https://doi.org/10.1007/s40996-017-0081-0

  12. Karthikeyan, J. / Kim, Dookie / Aiyer, Bhairevi G. / Samui, Pijush (2013): SPT-based liquefaction potential assessment by relevance vector machine approach. Dans: European Journal of Environmental and Civil Engineering, v. 17, n. 4 (avril 2013).

    https://doi.org/10.1080/19648189.2013.781546

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