Author

A. Horr

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Review Open access Jul 2026

Exploring Data Science in Manufacturing Processes: Current Trends, Challenges, and Future Directions

This review presents a structured analysis of data modeling techniques for manufacturing applications, with emphasis on data generation, sampling, preprocessing, and modeling approaches across diverse operational regimes, including steady, transient, and generative processes.

A. Horr · Encyclopedia · 0 citations

Open access Aug 2026

Optimization of Manufacturing Processes Using AI-Based Advisory Systems: Casting Application

The development of AI-enabled advisory systems for casting processes are presented, integrating singular value decomposition (SVD)-based reduced-order models with a Variational Autoencoder with Arbitrary Conditioning (AC-VAE) and hybrid simulation frameworks to support real-time process prediction and optimization.

Sofija Milicic, A. Horr, S. Elgeti et al. · Processes · 0 citations