Credit risk assessment using bayesian networks and machine learning approaches

The application of machine learning and deep learning on demand forecasting across time-critical industries: A systematic review

Asmaa Seyam, Sujith Samuel Mathew, May El Barachi, Cheng Zhang, Jun Shen

Also available via: Advanced Engineering Informatics

Porosity prediction in laser beam welding with a multimodal physics-informed machine learning framework

Xiangmeng Meng, Marcel Bachmann, Fan Yang, Michael Rethmeier

Also available via: Advanced Engineering Informatics

Multimodal machine learning in the AEC industry: a lifecycle-aligned review of strategies, challenges, and informatics frameworks

Abdulkadir Hassan Ahmed, Osama Mohsen

Also available via: Advanced Engineering Informatics

Physics-informed data augmentation and explainable machine learning for parametric design of stainless steel columns

Wenkang Zuo, Yuner Huang, Man-Tai Chen, Ben Young

Mixed reality and machine learning-guided cable robot framework (MMCR) for real-time prefabricated construction automation

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Early risk warning model of hydraulic fracturing screen-out risk based on deep learning method

Yufeng Li, Mao Sheng, Xiaoying Zhuang, Shuai Zhang, S. Tian, Zhongwei Huang, et al.