Search Results - "Safdar, Mutahar"

A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management.

Authors: Zhang, Ying Safdar, Mutahar Xie, Jiarui et al.

Source: Journal of Intelligent Manufacturing; Dec2023, Vol. 34 Issue 8, p3305-3340, 36p

Detecting the extent of co-existing anomalies in additively manufactured metal matrix composites through explainable selection and fusion of multi-camera deep learning features.

Authors: Safdar, Mutahar Wood, Gentry Zimmermann, Max et al.

Source: Virtual & Physical Prototyping; Dec2025, Vol. 20 Issue 1, p1-39, 39p

Linking microstructure informatics with characterization knowledge in additively manufactured composites through customized and hybrid vision-language representations for automated qualification.

Authors: Safdar, Mutahar Wood, Gentry Zimmermann, Max et al.

Source: Advanced Engineering Informatics; Apr2026:Part A, Vol. 71, pN.PAG-N.PAG, 1p

Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing.

Authors: Xie, Jiarui Safdar, Mutahar Mircea, Andrei et al.

Source: Engineering Applications of Artificial Intelligence; Dec2025:Part C, Vol. 161, pN.PAG-N.PAG, 1p

Point-Oriented Persistent Identification of Entities for Exchanging Parametric CAD Data.

Authors: Safdar, Mutahar Soonhung Han Soonjo Kwon et al.

Source: Computer-Aided Design & Applications. 2020, Vol. 17 Issue 2, p274-287. 14p.

Subjects: Internet exchange points, Data mapping, Parametric modeling

Exchange of parametric assembly models based on neutral assembly constraints.

Authors: Kim, Youngki Lee, Hanra Safdar, Mutahar et al.

Source: Concurrent Engineering: Research & Applications; Dec2019, Vol. 27 Issue 4, p285-294, 10p

Accelerated semantic segmentation of additively manufactured metal matrix composites: Generating datasets, evaluating convolutional and transformer models, and developing the MicroSegQ+ Tool.

Authors: Safdar, Mutahar Li, Yi Fan El Haddad, Randy et al.

Source: Expert Systems with Applications; Oct2024, Vol. 251, pN.PAG-N.PAG, 1p

Fundamental requirements of a machine learning operations platform for industrial metal additive manufacturing.

Authors: Safdar, Mutahar Paul, Padma Polash Lamouche, Guy et al.

Source: Computers in Industry; Jan2024, Vol. 154, pN.PAG-N.PAG, 1p

A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling.

Authors: Xie, Jiarui Zhang, Chonghui Sage, Manuel et al.

Source: International Journal of Production Research. Jun2024, Vol. 62 Issue 12, p4181-4201. 21p.

Subjects: Machine tools, Manufacturing processes, Auxetic materials, Feature selection, Gas turbines