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Vahid Nourani

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

  1. Raheli, Bahareh / Talabbeydokhti, Nasser / Saadat, Solmaz / Nourani, Vahid: Uncertainty Assessment of Surface Water Salinity Using Standalone, Ensemble, and Deep Machine Learning Methods: A Case Study of Lake Urmia. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering.

    https://doi.org/10.1007/s40996-024-01374-0

  2. Fatehi-Nobarian, Bahador / Panahi, Razieh / Nourani, Vahid (2022): Investigation of the Effect of Velocity on Secondary Currents in Semicircular Channels on Hydraulic Jump Parameters. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 46, n. 4 (Mai 2022).

    https://doi.org/10.1007/s40996-021-00800-x

  3. Danandeh Mehr, Ali / Safari, Mir jafar Sadegh / Nourani, Vahid (2021): Wavelet Packet-Genetic Programming: A New Model for Meteorological Drought Hindcasting. In: Teknik Dergi, v. 32, n. 4 (Juli 2021).

    https://doi.org/10.18400/tekderg.605453

  4. Nourani, Vahid / Babakhani, Ali (2013): Integration of Artificial Neural Networks with Radial Basis Function Interpolation in Earthfill Dam Seepage Modeling. In: Journal of Computing in Civil Engineering, v. 27, n. 2 (März 2013).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000200

  5. Zarnaghi, Vahab Naderi / Fouroghi-Asl, Ali / Nourani, Vahid / Ma, Hongyan (2018): On the pore structures of lightweight self-compacting concrete containing silica fume. In: Construction and Building Materials, v. 193 (Dezember 2018).

    https://doi.org/10.1016/j.conbuildmat.2018.09.080

  6. Solgi, Abazar / Nourani, Vahid / Pourhaghi, Amir (2014): Forecasting Daily Precipitation Using Hybrid Model of Wavelet-Artificial Neural Network and Comparison with Adaptive Neurofuzzy Inference System (Case Study: Verayneh Station, Nahavand). In: Advances in Civil Engineering, v. 2014 ( 2014).

    https://doi.org/10.1155/2014/279368

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