Data-knowledge co-driven innovations in engineering and management.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 39776847.
- Also identified by DOI 10.1016/j.patter.2024.101114 and PMC identifier 11701839.
- Licence recorded as CC BY-NC.
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Abstract
Modern intelligent engineering and management scenarios require advanced data utilization methodologies. Here, we propose and discuss data-knowledge co-driven innovations that could address emerging challenges, and we advocate for the adoption of interdisciplinary methodologies in numerous engineering and management applications.