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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. Philip, Shimol / Nidhi, M / Nakkeeran, G. (2024): Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches. In: Journal of Building Pathology and Rehabilitation, v. 9, n. 2 (29 May 2024).

    https://doi.org/10.1007/s41024-024-00461-z

  2. Mahajan, K. A. / Priyatham, BPRVS / Dhariwal, Saraswati Chand / Arul Jose, J. Prakash / Mallikarjuna Rao, G. / Nakkeeran, G. / Kumar, G. Prem (2023): Machine learning optimization and prediction of waste glass used as partial replacement of coarse aggregate in concrete. In: Asian Journal of Civil Engineering, v. 25, n. 1 (July 2023).

    https://doi.org/10.1007/s42107-023-00825-9

  3. Jayakeerti, M. / Nakkeeran, G. / Aravindh, M. Durai / Krishnaraj, L. (2023): Predicting an energy use intensity and cost of residential energy-efficient buildings using various parameters: ANN analysis. In: Asian Journal of Civil Engineering, v. 24, n. 8 (June 2023).

    https://doi.org/10.1007/s42107-023-00717-y

  4. Nakkeeran, G. / Krishnaraj, L. (2022): Prediction of cement mortar strength by replacement of hydrated lime using RSM and ANN. In: Asian Journal of Civil Engineering, v. 24, n. 5 (December 2022).

    https://doi.org/10.1007/s42107-023-00577-6

  5. Nakkeeran, G. / Krishnaraj, L. (2023): Developing lightweight concrete bricks by replacing fine aggregate with vermiculite: a regression analysis prediction approach. In: Asian Journal of Civil Engineering, v. 24, n. 6 (April 2023).

    https://doi.org/10.1007/s42107-023-00586-5

  6. Aravindh, M. Durai / Nakkeeran, G. / Krishnaraj, L. / Arivusudar, N. (2022): Evaluation and optimization of lean waste in construction industry. In: Asian Journal of Civil Engineering, v. 23, n. 5 (19 May 2022).

    https://doi.org/10.1007/s42107-022-00453-9

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