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 …

Machine learning for engineering design toward smart customization: A systematic review

X Wang, A Liu, S Kara - Journal of Manufacturing Systems, 2022‏ - Elsevier
In today's manufacturing industry, companies are striving to provide customized products to
maintain competitiveness. The challenge of design customization lies in the company's …

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 …

Enhancing e-learning adaptability with automated learning style identification and sentiment analysis: a hybrid deep learning approach for smart education

T Hussain, L Yu, M Asim, A Ahmed, MA Wani - Information, 2024‏ - mdpi.com
In smart education, adaptive e-learning systems personalize the educational process by
tailoring it to individual learning styles. Traditionally, identifying these styles relies on …

Requirement analysis and service optimization of multiple category fresh products in online retailing using importance-Kano analysis

D Zhang, Z Shen, Y Li - Journal of Retailing and Consumer Services, 2023‏ - Elsevier
Online fresh retailing enriches people's shop** choices and provides convenience to
reduce the risk of infection during the pandemic. Online reviews contain consumers' …

Natural language processing in-and-for design research

L Siddharth, L Blessing, J Luo - Design Science, 2022‏ - cambridge.org
We review the scholarly contributions that utilise natural language processing (NLP)
techniques to support the design process. Using a heuristic approach, we gathered 223 …

A machine learning-based iterative design approach to automate user satisfaction degree prediction in smart product-service system

J Cong, P Zheng, Y Bian, CH Chen, J Li, X Li - Computers & Industrial …, 2022‏ - Elsevier
As an emerging digital servitization paradigm, smart product-service system (Smart PSS)
leverages smart, connected products and their generated services to work as a solution …

Towards cognitive intelligence-enabled product design: The evolution, state-of-the-art, and future of AI-enabled product design

Z Wang, X Liang, M Li, S Li, J Liu, L Zheng - Journal of Industrial …, 2024‏ - Elsevier
Engineering design researchers have increasing interests in leveraging artificial intelligence
(AI) techniques to a wide range of product design tasks, such as customer requirement …

Automated keyword filtering in latent Dirichlet allocation for identifying product attributes from online reviews

J Joung, HM Kim - Journal of Mechanical Design, 2021‏ - asmedigitalcollection.asme.org
Identifying product attributes from the perspective of a customer is essential to measure the
satisfaction, importance, and Kano category of each product attribute for product design …

Detecting pain points from user-generated social media posts using machine learning

J Salminen, M Mustak, J Corporan… - Journal of …, 2022‏ - journals.sagepub.com
Artificial intelligence, particularly machine learning, carries high potential to automatically
detect customers' pain points, which is a particular concern the customer expresses that the …