Incorporating style-related objectives into shape design has been centrally important to
maximize product appeal. However, algorithmic style capture and reuse have not fully …

When using a single sensor to monitor early microleakage of nuclear power pressure
pipeline leakage, there are problems such as low monitoring accuracy and poor early …

Accurately extracting two-dimensional (2D) engineering drawings from existing buildings'
three-dimensional (3D) data is crucial for building renovation, protection, and research. This …

Recently, the digitization of piping and instrumentation diagrams (P&IDs) has become
increasingly necessary in the plant industry. In previous studies on line recognition in P&IDs …

Machining feature segmentation is a primary task in machining feature recognition, as it
directly impacts downstream activities such as feature type identification and process …

Designing for manufacturing poses significant challenges in part due to the computation
bottleneck of Computer-Aided Manufacturing (CAM) simulations. Although deep learning as …

This paper explores the application of Retrieval-Augmented Generation (RAG) in
engineering design, examining its potential to revolutionize the design process through …

Digital transformation is omnipresent in our daily lives and its impact is noticeable through
new technologies, like smart devices, AI-Chatbots or the changing work environment. This …

We present a new data generation method to facilitate an automatic machine interpretation
of 2D engineering part drawings. While such drawings are a common medium for clients to …

Incorporating style-related objectives into shape design has been centrally important to
maximize product appeal. However, stylistic features such as aesthetics and semantic …