The integration of AI technology with digital transformation has profoundly shaped the
evolution towards digital triplet architecture, grounded in human-centric methodologies. By …

In the rapidly advancing field of multi-modal machine learning (MMML), the convergence of
multiple data modalities has the potential to reshape various applications. This paper …

In the development of a new product, concept generation is a crucial stage, as it determines
much of the cost of the product lifetime. The process of generating concepts that meet …

Engineering design researchers have increasing interests in leveraging artificial intelligence
(AI) techniques to a wide range of product design tasks, such as customer requirement …

This research introduces a conceptual framework designed to enhance worker safety and
well-being in industrial environments, such as oil and gas construction plants, by leveraging …

Data-driven intelligent computational design (DICD) is a research hotspot that emerged
under fast-developing artificial intelligence. It emphasizes utilizing deep learning algorithms …

Design decisions occur in all phases of product design and largely affect the merits of the
final solution, which will ultimately determine the success or failure of the product in the …

To accurately and effectively analyze electroencephalogram (EEG) with high complexity,
large amount of data, and strong uncertainty, brain–computer interface (BCI) cognitive …

The digital twin (DT) technology facilitates the complete lifecycle management of equipment
by integrating physical and virtual spaces through data mapping. Many narrative DT …

Digital twin (DT) technology, as one of the top strategic technology trends for 2020, has
received widespread attention and has gradually been widely used in smart manufacturing …