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Pijush Samui ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Kumar, Pramod / Samui, Pijush / Armaghani, Danial Jahed / Roy, Sanjiban Sekhar (2024): Second-order reliability analysis of an energy pile with CPT data. In: Journal of Building Engineering, v. 95 (Oktober 2024).

    https://doi.org/10.1016/j.jobe.2024.110165

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

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

  3. Sufyan, Md Saeb / Samui, Pijush / Mishra, Shambhu Sharan (2023): Reliability analysis of portal frame subjected to varied lateral loads using machine learning. In: Asian Journal of Civil Engineering, v. 25, n. 2 (Oktober 2023).

    https://doi.org/10.1007/s42107-023-00893-x

  4. 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. In: Case Studies in Construction Materials, v. 19 (Dezember 2023).

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

  5. 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. In: Buildings, v. 13, n. 6 (23 Mai 2023).

    https://doi.org/10.3390/buildings13061371

  6. Mustafa, Rashid / Samui, Pijush / Kumari, Sunita (2022): Reliability Analysis of Gravity Retaining Wall Using Hybrid ANFIS. In: Infrastructures, v. 7, n. 9 (September 2022).

    https://doi.org/10.3390/infrastructures7090121

  7. Pradeep, T. / Bardhan, Abidhan / Burman, Avijit / Samui, Pijush (2021): Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms. In: Infrastructures, v. 6, n. 9 (September 2021).

    https://doi.org/10.3390/infrastructures6090129

  8. Ray, Rahul / Choudhary, Shiva Shankar / Roy, Lal Bahadur / Kaloop, Mosbeh R. / Samui, Pijush / Kurup, Pradeep U. / Ahn, Jungkyu / Hu, Jong Wan (2023): Reliability analysis of reinforced soil slope stability using GA-ANFIS, RFC, and GMDH soft computing techniques. In: Case Studies in Construction Materials, v. 18 (Juli 2023).

    https://doi.org/10.1016/j.cscm.2023.e01898

  9. 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. In: Case Studies in Construction Materials, v. 16 (Juni 2022).

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

  10. 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. In: Case Studies in Construction Materials, v. 16 (Juni 2022).

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

  11. 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. In: Construction and Building Materials, v. 303 (Oktober 2021).

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

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

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

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

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

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

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

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

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

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

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

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

    https://doi.org/10.1080/19648189.2013.781546

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