Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Sarica, Serhad"'
Autor:
Sarica, Serhad, Luo, Jianxi
Innovation, typically spurred by reusing, recombining, and synthesizing existing concepts, is expected to result in an exponential growth of the concept space over time. However, our statistical analysis of TechNet, which is a comprehensive technolog
Externí odkaz:
http://arxiv.org/abs/2303.13300
Publikováno v:
Computers in Industry, Volume 144, 2023, 103791, ISSN 0166-3615
Design representation is a common task in the design process to facilitate learning, analysis, redesign, communication, and other design activities. Traditional representation techniques rely on human expertise and manual construction and are difficu
Externí odkaz:
http://arxiv.org/abs/2210.11533
Publikováno v:
Knowledge-Based Systems, 218, 106873, 2021
Data-driven conceptual design methods and tools aim to inspire human ideation for new design concepts by providing external inspirational stimuli. In prior studies, the stimuli have been limited in terms of coverage, granularity, and retrieval guidan
Externí odkaz:
http://arxiv.org/abs/2210.10104
Publikováno v:
Journal of Computing and Information Science in Engineering. 22(6), 2022, 060902
Patent data have long been used for engineering design research because of its large and expanding size, and widely varying massive amount of design information contained in patents. Recent advances in artificial intelligence and data science present
Externí odkaz:
http://arxiv.org/abs/2111.08500
Autor:
Sarica, Serhad (AUTHOR), Luo, Jianxi (AUTHOR)
Publikováno v:
PLoS ONE. 12/5/2024, Vol. 19 Issue 12, p1-3. 3p.
Autor:
Sarica, Serhad, Luo, Jianxi
Publikováno v:
Proc. Des. Soc. 1 (2021) 1043-1052
Engineers often need to discover and learn designs from unfamiliar domains for inspiration or other particular uses. However, the complexity of the technical design descriptions and the unfamiliarity to the domain make it hard for engineers to compre
Externí odkaz:
http://arxiv.org/abs/2012.15518
Publikováno v:
Proc. Des. Soc. 1 (2021) 2621-2630
There have been growing uses of semantic networks in the past decade, such as leveraging large-scale pre-trained graph knowledge databases for various natural language processing (NLP) tasks in engineering design research. Therefore, the paper provid
Externí odkaz:
http://arxiv.org/abs/2012.07060
Autor:
Sarica, Serhad, Luo, Jianxi
There are increasingly applications of natural language processing techniques for information retrieval, indexing and topic modelling in the engineering contexts. A standard component of such tasks is the removal of stopwords, which are uninformative
Externí odkaz:
http://arxiv.org/abs/2006.02633
The growing developments in general semantic networks, knowledge graphs and ontology databases have motivated us to build a large-scale comprehensive semantic network of technology-related data for engineering knowledge discovery, technology search a
Externí odkaz:
http://arxiv.org/abs/1906.00411
Publikováno v:
In Computers in Industry January 2023 144