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Mohamed Khalid AlOmar ORCID

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. AlOmar, Mohamed Khalid / Hameed, Mohammed Majeed / Al-Ansari, Nadhir / Mohd Razali, Siti Fatin / AlSaadi, Mohammed Abdulhakim (2023): Short-, Medium-, and Long-Term Prediction of Carbon Dioxide Emissions using Wavelet-Enhanced Extreme Learning Machine. In: Civil Engineering Journal, v. 9, n. 4 (1 April 2023).

    https://doi.org/10.28991/cej-2023-09-04-04

  2. Hameed, Mohammed Majeed / Abed, Mustafa Abbas / Al-Ansari, Nadhir / AlOmar, Mohamed Khalid (2022): Predicting Compressive Strength of Concrete Containing Industrial Waste Materials: Novel and Hybrid Machine Learning Model. In: Advances in Civil Engineering, v. 2022 (January 2022).

    https://doi.org/10.1155/2022/5586737

  3. Hameed, Mohammed Majeed / AlOmar, Mohamed Khalid / Baniya, Wajdi Jaber / AlSaadi, Mohammed Abdulhakim (2021): Incorporation of artificial neural network with principal component analysis and cross-validation technique to predict high-performance concrete compressive strength. In: Asian Journal of Civil Engineering, v. 22, n. 6 (May 2021).

    https://doi.org/10.1007/s42107-021-00362-3

  4. Fiyadh, Seef Saadi / AlSaadi, Mohammed Abdulhakim / AlOmar, Mohamed Khalid / Fayaed, Sabah Saadi / Mjalli, Farouq S. / El-Shafie, Ahmed (2018): BTPC-Based DES-Functionalized CNTs for As3+ Removal from Water: NARX Neural Network Approach. In: Journal of Environmental Engineering (ASCE), v. 144, n. 8 (August 2018).

    https://doi.org/10.1061/(asce)ee.1943-7870.0001412

  5. AlOmar, Mohamed Khalid / Hameed, Mohammed Majeed / Al-Ansari, Nadhir / AlSaadi, Mohammed Abdulhakim (2020): Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach. In: Advances in Civil Engineering, v. 2020 (January 2020).

    https://doi.org/10.1155/2020/6618842

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