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Quantifying Spatio-Temporal River Morphological Change and Its Consequences in the Vietnamese Mekong River Delta Using Remote Sensing and Geographical Information System Techniques

Vu, T. H., Binh, D. V., Tran, H. N., Khan, M. A., Bui, D. D. & Stamm, J., 17 Feb 2024, In: Remote sensing. 16(2024), 4, 707.

Research output: Contribution to journal › Research article › Contributed › peer-review

Bias correction and projection of temperature over the altitudes of the Upper Indus Basin under CMIP6 climate scenarios from 1985 to 2100

Jamal, K., Li, X., Chen, Y., Rizwan, M., Khan, M. A., Syed, Z. & Mahmood, P., 21 Jun 2023, In: Journal of Water and Climate Change. 14, 7, p. 2490–2514 25 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

Assessment of the hydrological and coupled soft computing models, based on different satellite precipitation datasets, to simulate streamflow and sediment load in a mountainous catchment

Khan, M. A. & Stamm, J., 3 Feb 2023, In: Journal of Water and Climate Change. 14, 2, p. 610-632 23 p., 610.

Research output: Contribution to journal › Research article › Contributed › peer-review

A Comparison of Different Soft Computing Techniques for the Estimation of Suspended Sediment Load in Rivers

Khan, M. A., Stamm, J. & Heyer, T., 2022, In: Proceedings of the IAHR World Congress. 2022, p. 557-564 8 p.

Research output: Contribution to journal › Conference article › Contributed › peer-review

Assessment of Soft Computing Techniques for the Prediction of Suspended Sediment Loads in Rivers

Khan, M. A., Stamm, J. & Haider, S., 7 Sept 2021, In: Applied sciences. 11, 18, 8290.

Research output: Contribution to journal › Research article › Contributed › peer-review

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