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 2022-01-01 to 2026-01-01.)
ArticleCitations
inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle23
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems22
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer16
Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv514
Enabling multi-modal search for inspirational design stimuli using deep learning14
Potentials and challenges of analyzing use phase data in product planning of manufacturing companies13
Towards comprehensive digital evaluation of low-carbon machining process planning12
Gamification of design thinking: a way to enhance effectiveness of learning12
Finite-element analysis case retrieval based on an ontology semantic tree12
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 context11
Convolutional autoencoder for on-demand parametric inverse design of local resonator geometry in wind turbine metastructure targeting vibration control11
Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN10
Managing combinatorial design challenges using flexibility and pathfinding algorithms9
A semi-supervised anomaly detection approach for detecting mechanical failures8
Artificial intelligence methods for improving the inventive design process, application in lattice structure case study7
Adaptive hyperball Kriging method for efficient reliability analysis7
Sampling balanced high-quality data to train an automatic mesh generator7
Measuring ideation effectiveness in bioinspired design7
Developing a data analytics toolbox for data-driven product planning: a review and survey methodology7
Design of an intelligent simulator ANN and ANFIS model in the prediction of milling performance (QCE) of alloy 2017A6
A stochastic topology optimization algorithm for improved fluid dynamics systems6
Exploring the impact of set-based concurrent engineering through multi-agent system simulation6
Data-enabled sketch search and retrieval for visual design stimuli generation6
Extenics enhanced axiomatic design procedure for AI applications6
Enhancing TRIZ through environment-based design methodology supported by a large language model6
Comparative analysis of machine learning algorithms for predicting standard time in a manufacturing environment6
Analyzing problem framing in design teams: a systems mapping approach6
Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge5
A hybrid particle swarm optimization and recurrent dynamic neural network for multi-performance optimization of hard turning operation5
Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments5
Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process5
ChatGPT as an inventor: eliciting the strengths and weaknesses of current large language models against humans in engineering design5
The effects of generative AI model type and visual stimuli type on design creativity5
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