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

  1. Gupta, Megha / Prakash, Satya / Ghani, Sufyan: Enhancing predictive accuracy: a comprehensive study of optimized machine learning models for ultimate load-carrying capacity prediction in SCFST columns. In: Asian Journal of Civil Engineering.

    https://doi.org/10.1007/s42107-023-00964-z

  2. Kumar, Nishant / Prakash, Satya / Ghani, Sufyan / Gupta, Megha / Saharan, Sunil: Data-driven machine learning approaches for predicting permeability and corrosion risk in hybrid concrete incorporating blast furnace slag and fly ash. In: Asian Journal of Civil Engineering.

    https://doi.org/10.1007/s42107-023-00977-8

  3. Gupta, Megha / Prakash, Satya / Ghani, Sufyan / Kumar, Nishant / Saharan, Sunil: Enhancing bond performance in SRC structures: a computational approach using ensemble learning techniques and sequential analysis. In: Asian Journal of Civil Engineering.

    https://doi.org/10.1007/s42107-023-00982-x

  4. Thapa, Ishwor / Kumar, Nishant / Ghani, Sufyan / Kumar, Sunil / Gupta, Megha: Applications of bentonite in plastic concrete: a comprehensive study on enhancing workability and predicting compressive strength using hybridized AI models. In: Asian Journal of Civil Engineering.

    https://doi.org/10.1007/s42107-023-00966-x

  5. Shrestha, Niraj / Gupta, Megha / Ghani, Sufyan / Kushwaha, Sunayana (2024): Enhancing seismic vulnerability assessment: a neural network effort for efficient prediction of multi-storey reinforced concrete building displacement. In: Asian Journal of Civil Engineering, v. 25, n. 3 (Januar 2024).

    https://doi.org/10.1007/s42107-023-00949-y

  6. Ghani, Sufyan / Kumar, Nishant / Gupta, Megha / Saharan, Sunil (2024): Machine learning approaches for real-time prediction of compressive strength in self-compacting concrete. In: Asian Journal of Civil Engineering, v. 25, n. 3 (Januar 2024).

    https://doi.org/10.1007/s42107-023-00942-5

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