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Thendiyath Roshni ORCID

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

  1. Kumar, Harsh / Roshni, Thendiyath (2022): Application of Sentinel-1A Synthetic Aperture Radar Datasets for the Estimation of Stream Flow in Various Sections of the Sone River. In: Journal of The Institution of Engineers (India): Series A, v. 103, n. 4 (9 Oktober 2022).

    https://doi.org/10.1007/s40030-022-00669-7

  2. Ojha, Shashi Shankar / Singh, Vivekanand / Roshni, Thendiyath (2021): Comparison of Meteorological Drought using SPI and SPEI. In: Civil Engineering Journal, v. 7, n. 12 (1 Dezember 2021).

    https://doi.org/10.28991/cej-2021-03091783

  3. Pagliara, Stefano / Carnacina, Iacopo / Roshni, Thendiyath (2011): Inception Point and Air Entrainment on Flows under Macroroughness Condition. In: Journal of Environmental Engineering (ASCE), v. 137, n. 7 (Juli 2011).

    https://doi.org/10.1061/(asce)ee.1943-7870.0000369

  4. Manideep, Solleti / Roshni, Thendiyath (2022): Effective Discharge and Scaling Laws for Suspended Sediment Transport in Godavari River Basin, India. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 46, n. 1 (21 Januar 2022).

    https://doi.org/10.1007/s40996-021-00585-z

  5. Kumar, Suraj / Roshni, Thendiyath / Kumar, Ashish / Jayakumar, Drisya (2021): GIS-Based Drought Assessment in Climate Change Context: A Case Study for Sone Command, Bihar. In: Journal of The Institution of Engineers (India): Series A, v. 102, n. 1 (Januar 2021).

    https://doi.org/10.1007/s40030-020-00505-w

  6. Kumar, Suraj / Roshni, Thendiyath / Himayoun, Dar (2019): A Comparison of Emotional Neural Network (ENN) and Artificial Neural Network (ANN) Approach for Rainfall-Runoff Modelling. In: Civil Engineering Journal, v. 5, n. 10 (7 Oktober 2019).

    https://doi.org/10.28991/cej-2019-03091398

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