Browsing ODA Open Digital Archive by Author "Ben Seghier, Mohamed El Amine"
Now showing items 1-6 of 6
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Advancing the analysis of water pipe failures: a probabilistic framework for identifying significant factors
Muddassir, Muhammad; Zayed, Tarek; Taiwo, Ridwan; Ben Seghier, Mohamed El Amine (Peer reviewed; Journal article, 2024)The failure of water pipes in Water Distribution Networks (WDNs) is associated with environmental, economic, and social consequences. It is essential to mitigate these failures by analyzing the historical data of WDNs. The ... -
Explainable ensemble models for predicting wall thickness loss of water pipes
Taiwo, Ridwan; Abdul-Mugis, Yussif; Ben Seghier, Mohamed El Amine; Tarek, Zayed (Peer reviewed; Journal article, 2024)Water Distribution Networks (WDNs) are susceptible to pipe failures with significant consequences. Predicting wall-thickness loss in pipes is vital for proactive maintenance and asset management. This study develops ... -
In-situ synthesis and performance evaluation of novel color coatings for galvanized steel
Chenglu, Hu; Qichi, Le; Dandan, Li; Ben Seghier, Mohamed El Amine; Ruizhen, Guo; Qi, Zou; Zhou, Xiong; Zhang, Xinyue; Jiang, Yanchao; Wang, Tong (Peer reviewed; Journal article, 2024)Traditional hot-dip galvanized coatings, typically single-silver in color, present increasing aesthetic challenges in diverse applications, while prevailing organic coating methods involve complex processes with high energy ... -
Investigation of performance metrics in regression analysis and machine learning-based prediction models
Plevris, Vagelis; Solorzano, German; Bakas, Nikolaos P.; Ben Seghier, Mohamed El Amine (ECCOMAS Congress;8th European Congress on Computational Methods in Applied Sciences and Engineering, Conference object, 2022-11-24)Performance metrics (Evaluation metrics or error metrics) are crucial components of regression analysis and machine learning-based prediction models. A performance metric can be defined as a logical and mathematical construct ... -
Structural optimisation of concrete isolated foundations using Generative Design
Mikalsen, Christoffer Nergaard; Holm, Dag Sverre (Master thesis, 2024)Foundations represent crucial parts for almost all our worlds’ infrastructures and structures. However, optimisation of these foundations seems to be deprioritised, likely due to the highly consumed time and resources for ... -
Using artificial intelligence techniques for the accurate estimation of the ultimate pure bending of steel circular tubes
Ben Seghier, Mohamed El Amine; Plevris, V.; Solorzano, German (Conference object, 2022-11-24)In this paper, the potential of building more accurate and robust models for the prediction of the ultimate pure bending capacity of steel circular tubes using artificial intelligence techniques is investigated. Therefore, ...