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Sufyan Ghani

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

  1. Mustafa, Rashid / Suman, Shashikant / Kumar, Ankit / Ranjan, Ravi / Kumar, Prince / Ghani, Sufyan (2024): Probabilistic Analysis of Pile Foundation in Cohesive Soil. In: Journal of The Institution of Engineers (India): Series A, v. 105, n. 1 (Februar 2024).

    https://doi.org/10.1007/s40030-024-00785-6

  2. Gupta, Megha / Prakash, Satya / Ghani, Sufyan (2024): 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, v. 25, n. 4 (Februar 2024).

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

  3. Kumar, Nishant / Prakash, Satya / Ghani, Sufyan / Gupta, Megha / Saharan, Sunil (2024): 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, v. 25, n. 4 (Februar 2024).

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

  4. Gupta, Megha / Prakash, Satya / Ghani, Sufyan / Kumar, Nishant / Saharan, Sunil (2024): Enhancing bond performance in SRC structures: a computational approach using ensemble learning techniques and sequential analysis. In: Asian Journal of Civil Engineering, v. 25, n. 4 (Februar 2024).

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

  5. Thapa, Ishwor / Kumar, Nishant / Ghani, Sufyan / Kumar, Sunil / Gupta, Megha (2024): 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, v. 25, n. 4 (Februar 2024).

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

  6. 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

  7. 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

  8. Ghani, Sufyan / Sapkota, Sanjog Chhetri / Singh, Raushan Kumar / Bardhan, Abidhan / Asteris, Panagiotis G. (2024): Modelling and validation of liquefaction potential index of fine-grained soils using ensemble learning paradigms. In: Soil Dynamics and Earthquake Engineering, v. 177 (Februar 2024).

    https://doi.org/10.1016/j.soildyn.2023.108399

  9. Ghani, Sufyan / Kumari, Sunita / Choudhary, Anil Kumar (2024): Geocell Mattress Reinforcement for Bottom Ash: A Comprehensive Study of Load-Settlement Characteristics. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 48, n. 2 (Januar 2024).

    https://doi.org/10.1007/s40996-023-01205-8

  10. Ghani, Sufyan / Kumari, Sunita (2021): Probabilistic Study of Liquefaction Response of Fine-Grained Soil Using Multi-Linear Regression Model. In: Journal of The Institution of Engineers (India): Series A, v. 102, n. 3 (12 Juli 2021).

    https://doi.org/10.1007/s40030-021-00555-8

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