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

Limited-sample deep learning-based detection and segmentation of infrared radiation anomaly zones in rock fractures

Shaokang Shang, Yu Fu, Long Huang, Dongyang Liu, Jiwei Li

AutoSurrogate: An LLM-driven multi-agent framework for autonomous construction of deep learning surrogate models in subsurface flow

Jiale Liu, Nanzhe Wang

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

Credit risk assessment using bayesian networks and machine learning approaches

Mohammad Gramifar, Golam Kabir, Sharfuddin Ahmed Khan

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

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