AI EDAM-Artificial Intelligence for Engineering Design Analysis and Ma

Papers
(The TQCC of AI EDAM-Artificial Intelligence for Engineering Design Analysis and Ma is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-12-01 to 2025-12-01.)
ArticleCitations
inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle22
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems22
Enabling multi-modal search for inspirational design stimuli using deep learning16
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer14
Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv514
Potentials and challenges of analyzing use phase data in product planning of manufacturing companies12
Towards comprehensive digital evaluation of low-carbon machining process planning11
Gamification of design thinking: a way to enhance effectiveness of learning11
Finite-element analysis case retrieval based on an ontology semantic tree11
CNN–NSDBO–EWTOPSIS: A hybrid multi-objective optimization approach for concrete mixture proportion design problem11
Breaking up data-enabled design: expanding and scaling up for the clinical context10
Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN10
Convolutional autoencoder for on-demand parametric inverse design of local resonator geometry in wind turbine metastructure targeting vibration control10
A semi-supervised anomaly detection approach for detecting mechanical failures8
Managing combinatorial design challenges using flexibility and pathfinding algorithms8
Artificial intelligence methods for improving the inventive design process, application in lattice structure case study7
Measuring ideation effectiveness in bioinspired design7
Developing a data analytics toolbox for data-driven product planning: a review and survey methodology7
Adaptive hyperball Kriging method for efficient reliability analysis7
Analyzing problem framing in design teams: a systems mapping approach6
Exploring the impact of set-based concurrent engineering through multi-agent system simulation6
Enhancing TRIZ through environment-based design methodology supported by a large language model6
Sampling balanced high-quality data to train an automatic mesh generator6
Design of an intelligent simulator ANN and ANFIS model in the prediction of milling performance (QCE) of alloy 2017A6
Extenics enhanced axiomatic design procedure for AI applications5
Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process5
A stochastic topology optimization algorithm for improved fluid dynamics systems5
Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review5
ChatGPT as an inventor: eliciting the strengths and weaknesses of current large language models against humans in engineering design5
Data-enabled sketch search and retrieval for visual design stimuli generation5
Comparative analysis of machine learning algorithms for predicting standard time in a manufacturing environment5
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