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Laya Parvizsedghy

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. El-Abbasy, Mohammed S. / Zayed, Tarek / Mirahadi, Farid / Parvizsedghy, Laya / Senouci, Ahmed (2022): Optimized maintenance plan for oil and gas pipelines. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 49, n. 7 (July 2022).

    https://doi.org/10.1139/cjce-2020-0412

  2. El-Abbasy, Mohammed S. / Senouci, Ahmed / Zayed, Tarek / Mirahadi, Farid / Parvizsedghy, Laya (2014): Artificial neural network models for predicting condition of offshore oil and gas pipelines. In: Automation in Construction, v. 45 (September 2014).

    https://doi.org/10.1016/j.autcon.2014.05.003

  3. El-Abbasy, Mohammed S. / Senouci, Ahmed / Zayed, Tarek / Mirahadi, Farid / Parvizsedghy, Laya (2014): Condition Prediction Models for Oil and Gas Pipelines Using Regression Analysis. In: Journal of Construction Engineering and Management, v. 140, n. 6 (June 2014).

    https://doi.org/10.1061/(asce)co.1943-7862.0000838

  4. Parvizsedghy, Laya / Senouci, Ahmed / Zayed, Tarek / Mirahadi, Seyed Farid / El-Abbasy, Mohammed S. (2015): Condition-based maintenance decision support system for oil and gas pipelines. In: Structure and Infrastructure Engineering, v. 11, n. 10 (October 2015).

    https://doi.org/10.1080/15732479.2014.964266

  5. Parvizsedghy, Laya / Zayed, Tarek (2016): Consequence of Failure: Neurofuzzy-Based Prediction Model for Gas Pipelines. In: Journal of Performance of Constructed Facilities (ASCE), v. 30, n. 4 (August 2016).

    https://doi.org/10.1061/(asce)cf.1943-5509.0000817

  6. El-Abbasy, Mohammed S. / Senouci, Ahmed / Zayed, Tarek / Parvizsedghy, Laya / Mirahadi, Farid (2016): Unpiggable Oil and Gas Pipeline Condition Forecasting Models. In: Journal of Performance of Constructed Facilities (ASCE), v. 30, n. 1 (February 2016).

    https://doi.org/10.1061/(asce)cf.1943-5509.0000716

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