Search Results - Al-Sabaeei, Abdulnaser M

Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review by Al-Sabaeei, Abdulnaser M, Alhussian, Hitham, Abdulkadir, Said Jadid, Jagadeesh, Ajayshankar

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Utilization of response surface methodology and machine learning for predicting and optimizing mixing and compaction temperatures of bio-modified asphalt by Al-Sabaeei, Abdulnaser M, Alhussian, Hitham, Abdulkadir, Said Jadid, Giustozzi, Filippo, Napiah, Madzlan, Jagadeesh, Ajayshankar, Sutanto, Muslich, Memon, Abdul Muhaimin

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Utilization of response surface methodology and machine learning for predicting and optimizing mixing and compaction temperatures of bio-modified asphalt by Al-Sabaeei, Abdulnaser M, Alhussian, Hitham, Abdulkadir, Said Jadid, Giustozzi, Filippo, Napiah, Madzlan, Jagadeesh, Ajayshankar, Sutanto, Muslich, Memon, Abdul Muhaimin

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Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods by Al-Sabaeei, Abdulnaser M, Alhussian, Hitham, Abdulkadir, Said Jadid, Giustozzi, Filippo, Jakarni, Fauzan Mohd, Yusoff, Nur Izzi Md

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Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods by Al-Sabaeei, Abdulnaser M, Alhussian, Hitham, Abdulkadir, Said Jadid, Giustozzi, Filippo, Jakarni, Fauzan Mohd, Yusoff, Nur Izzi Md

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Coatability and Bonding Characteristics of Asphalt Binders Modified with Alkylamines-Based and Polyalkylene Glycol-Based Bonding Promoters by Osman, Hanizah, Muhamad Rodzey, Muhamad Zulfatah Izham, Wong, Tracy Leh Xin, Mohd Hasan, Mohd Rosli, Al-Sabaeei, Abdulnaser M.

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Feasibility Evaluation of Waste Palm Oil Clinker Powder as a Fillers Substitute for Eco-Friendly Hot Mix Asphalt Pavement by Yaro, Nura Shehu Aliyu, Sutanto, Muslich Hartadi, Habib, Noor Zainab, Napiah, Madzlan, Usman, Aliyu, Al-Sabaeei, Abdulnaser M., Rafiq, Waqas

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Mixture Design-Based Performance Optimization via Response Surface Methodology and Moisture Durability Study for Palm Oil Clinker Fine Modified Bitumen Asphalt Mixtures by Yaro, Nura Shehu Aliyu, Sutanto, Muslich Hartadi, Habib, Noor Zainab, Napiah, Madzlan, Usman, Aliyu, Al-Sabaeei, Abdulnaser M., Rafiq, Waqas

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Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods by Al-Sabaeei, Abdulnaser M., Alhussian, Hitham, Abdulkadir, Said Jadid, Giustozzi, Filippo, Mohd Jakarni, Fauzan, Md Yusoff, Nur Izzi

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