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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. Kumar, Prashant / Arora, Harish Chandra / Bahrami, Alireza / Kumar, Aman / Kumar, Krishna (2023): Development of a Reliable Machine Learning Model to Predict Compressive Strength of FRP-Confined Concrete Cylinders. In: Buildings, v. 13, n. 4 (24 March 2023).

    https://doi.org/10.3390/buildings13040931

  2. Kumar, Krishna / Kapoor, Kanish / Singh, Ran Bir / Singh, Paramveer (2023): Durability behaviour of high-volume fly ash self-compacting recycled aggregate concrete. In: Proceedings of the Institution of Civil Engineers - Engineering Sustainability, v. 176, n. 3 (June 2023).

    https://doi.org/10.1680/jensu.22.00059

  3. Arora, Harish Chandra / Kumar, Sourav / Kontoni, Denise-Penelope N. / Kumar, Aman / Sharma, Madhu / Kapoor, Nishant Raj / Kumar, Krishna (2022): Axial Capacity of FRP-Reinforced Concrete Columns: Computational Intelligence-Based Prognosis for Sustainable Structures. In: Buildings, v. 12, n. 12 (1 December 2022).

    https://doi.org/10.3390/buildings12122137

  4. Muzzammil, Mohd / Alam, Javed / Kumar, Krishna / Khalid, Mohd (2022): Reliability Analysis of a Complex Pier Against Local Scour. In: Journal of The Institution of Engineers (India): Series A, v. 103, n. 4 (9 October 2022).

    https://doi.org/10.1007/s40030-022-00699-1

  5. Kumar, Aman / Arora, Harish Chandra / Kapoor, Nishant Raj / Kumar, Krishna (2023): Prognosis of compressive strength of fly‐ash‐based geopolymer‐modified sustainable concrete with ML algorithms. In: Structural Concrete, v. 24, n. 3 (April 2023).

    https://doi.org/10.1002/suco.202200344

  6. Soga, Kenichi / Casey, Gerard / Kumar, Krishna / Zhao, Bingyu (2017): Briefing: High-performance computing for city-scale modelling and simulations. In: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, v. 170, n. 4 (December 2017).

    https://doi.org/10.1680/jsmic.17.00026

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