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Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Volume 36
Volume 36, 2022
- Xiaoxu Diao
, Mike Pietrykowski, Fuqun Huang
An ontology-based fault generation and fault propagation analysis approach for safety-critical computer systems at the design stage. e1 - Yuval Kahlon
Visualization and inquiry into mental content in design activity: a case study of design interpretation. e2 - Dimitrios Paris Darzentas
Data-inspired co-design for museum and gallery visitor experiences. e3 - Tzu-Chieh Kurt Hong, Athanassios Economou
What shape grammars do that CAD should: the 14 cases of shape embedding. e4 - Georgios Koronis
A study on the link between design brief structure and stimulus fidelity to optimize novelty and usefulness. e5 - Jayaram Sivaramakrishnan
Margin-based approach for outlier detection of industrial design data using a modified general regression neural network. e7 - Sonia Vieira
Brain activity in constrained and open design: the effect of gender on frequency bands. e6 - Lingyun Sun, Yuyang Zhang, Zhuoshu Li, Zihong Zhou, Zhibin Zhou
inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle. e8 - Jelena Pejic
Linear kitchen layout design via machine learning. e9 - Djordje Kristic
Diagonal decompositions of shapes and their algebras. e10 - Boyeun Lee
Continuous cycles of data-enabled design: reimagining the IoT development process. e11 - Sotirios D. Kotsopoulos
Design without representation. e12 - Yuliang Li
A dynamic model for engineering change propagations in multiple product development stages. e13 - Maurice Meyer, Timm Fichtler, Christian Koldewey
Potentials and challenges of analyzing use phase data in product planning of manufacturing companies. e14 - Md Fashiar Rahman
A deep learning-based approach to extraction of filler morphology in SEM images with the application of automated quality inspection. e15 - Jacob Rodda, Charlie Ranscombe
A method to explore strategies to communicate user experience through storyboards: an automotive design case study. e16 - Gokula Vasantha, David Purves, John Quigley, Jonathan R. Corney, Andrew Sherlock, Geevin Randika:
Assessment of predictive probability models for effective mechanical design feature reuse. e17 - Imre Horváth:
The epsilon-knowledge: an emerging complement of Machlup's types of disciplinary knowledge. e18 - Renee Noortman, Peter Lovei
Breaking up data-enabled design: expanding and scaling up for the clinical context. e19 - Masih Hanifi, Hicham Chibane
Artificial intelligence methods for improving the inventive design process, application in lattice structure case study. e20 - Zhaoming Chen
Towards comprehensive digital evaluation of low-carbon machining process planning. e21 - Elisa Kwon, Forrest Huang, Kosa Goucher-Lambert
Enabling multi-modal search for inspirational design stimuli using deep learning. e22 - Edwin C. Y. Koh
Design change prediction based on social media sentiment analysis. e24 - Zijian Zhang, Yan Jin
Data-enabled sketch search and retrieval for visual design stimuli generation. e25 - Kristian Gonzalez Barman
Procedure for assessing the quality of explanations in failure analysis. e26 - Praveen Kumar
Parametric optimization of FDM using the ANN-based whale optimization algorithm. e27 - Vahid Pourmostaghimi
A hybrid particle swarm optimization and recurrent dynamic neural network for multi-performance optimization of hard turning operation. e28 - Apoorv Naresh Bhatt, Amaresh Chakrabarti:
Gamification of design thinking: a way to enhance effectiveness of learning. e29 - Zhaotong Yang, Mei Yang, Richard D. Sisson Jr., Yanhua Li, Jianyu Liang
Machine learning model to predict tensile properties of annealed Ti6Al4V parts prepared by selective laser melting. e30 - Kaixin Sha
Product redesign considering the sensitivity of customer satisfaction. e31 - Cheligeer Cheligeer, Jingwei Huang
Machine learning in requirements elicitation: a literature review. e32 - Lingyu Wang, Siyu Zhu, Jin Qi
An evolutionary form design method based on aesthetic dimension selection and NSGA-II. e33 - I-Tung Yang
Adaptive hyperball Kriging method for efficient reliability analysis. e34 - Fox Furrokh, Nic Zhang:
A stochastic topology optimization algorithm for improved fluid dynamics systems. e35 - Wenjuan Li, C. Steve Suh
Extenics enhanced axiomatic design procedure for AI applications. e36
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