A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment

M Elahi, SO Afolaranmi, JL Martinez Lastra… - Discover Artificial …, 2023 - Springer
Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …

[HTML][HTML] Natural language processing for innovation search–Reviewing an emerging non-human innovation intermediary

J Just - Technovation, 2024 - Elsevier
Applying artificial intelligence (AI), especially natural language processing (NLP), to harness
large amounts of information from patent databases, online communities, social media, or …

Adapting feature selection algorithms for the classification of Chinese texts

X Liu, S Wang, S Lu, Z Yin, X Li, L Yin, J Tian, W Zheng - Systems, 2023 - mdpi.com
Text classification has been highlighted as the key process to organize online texts for better
communication in the Digital Media Age. Text classification establishes classification rules …

Review of artificial intelligence applications in engineering design perspective

N Yüksel, HR Börklü, HK Sezer, OE Canyurt - Engineering Applications of …, 2023 - Elsevier
Having passed the primitive phases and starting to revolutionize many different fields in
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …

Stopwords in technical language processing

S Sarica, J Luo - Plos one, 2021 - journals.plos.org
There are increasing applications of natural language processing techniques for information
retrieval, indexing, topic modelling and text classification in engineering contexts. A standard …

TechNet: Technology semantic network based on patent data

S Sarica, J Luo, KL Wood - Expert Systems with Applications, 2020 - Elsevier
The growing developments in general semantic networks, knowledge graphs and ontology
databases have motivated us to build a large-scale comprehensive semantic network of …

Guiding data-driven design ideation by knowledge distance

J Luo, S Sarica, KL Wood - Knowledge-Based Systems, 2021 - Elsevier
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 …

An artificial intelligence based data-driven approach for design ideation

L Chen, P Wang, H Dong, F Shi, J Han, Y Guo… - Journal of Visual …, 2019 - Elsevier
Ideation is a source of innovation and creativity, and is commonly used in early stages of
engineering design processes. This paper proposes an integrated approach for enhancing …

Data-driven product design toward intelligent manufacturing: A review

Y Feng, Y Zhao, H Zheng, Z Li… - International Journal of …, 2020 - journals.sagepub.com
With the arrival of the big data era, a lot of valuable data have been generated in the entire
product life cycle. The gathered product data contain a lot of design knowledge, which …

Data-driven generative design for mass customization: A case study

Z Jiang, H Wen, F Han, Y Tang, Y Xiong - Advanced Engineering …, 2022 - Elsevier
Generative design provides a promising algorithmic solution for mass customization of
products, improving both product variety and design efficiency. However, the current …