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 4. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer22
inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle20
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems16
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 companies11
Towards comprehensive digital evaluation of low-carbon machining process planning11
Gamification of design thinking: a way to enhance effectiveness of learning10
Breaking up data-enabled design: expanding and scaling up for the clinical context10
Finite-element analysis case retrieval based on an ontology semantic tree10
Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN10
A semi-supervised anomaly detection approach for detecting mechanical failures8
Adaptive hyperball Kriging method for efficient reliability analysis8
Convolutional autoencoder for on-demand parametric inverse design of local resonator geometry in wind turbine metastructure targeting vibration control8
Managing combinatorial design challenges using flexibility and pathfinding algorithms8
Measuring ideation effectiveness in bioinspired design7
Artificial intelligence methods for improving the inventive design process, application in lattice structure case study7
Evaluating the learning and performance characteristics of self-organizing systems with different task features7
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
Extenics enhanced axiomatic design procedure for AI applications6
Exploring the impact of set-based concurrent engineering through multi-agent system simulation6
Comparative analysis of machine learning algorithms for predicting standard time in a manufacturing environment6
Analyzing problem framing in design teams: a systems mapping approach6
A stochastic topology optimization algorithm for improved fluid dynamics systems6
Data-enabled sketch search and retrieval for visual design stimuli generation5
Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review5
Enhancing TRIZ through environment-based design methodology supported by a large language model5
ChatGPT as an inventor: eliciting the strengths and weaknesses of current large language models against humans in engineering design5
Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge5
The effects of generative AI model type and visual stimuli type on design creativity4
A knowledge transfer method for human-robot collaborative disassembly of end-of-life power batteries based on augmented reality4
Graph transformation in engineering design: an overview of the last decade4
Segmentation method of U-net sheet metal engineering drawing based on CBAM attention mechanism4
A method to explore strategies to communicate user experience through storyboards: an automotive design case study4
Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments4
Stone masonry design automation via reinforcement learning4
Multidisciplinary concurrent optimization framework for multi-phase building design process4
Automatic weld joint type recognition in intelligent welding using image features and machine learning algorithms4
Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process4
A hybrid particle swarm optimization and recurrent dynamic neural network for multi-performance optimization of hard turning operation4
Adopting “blackbox” engineering advice: the influence of imperfect suggestions during AI-assisted decision-making with multiple objectives4
AI-driven design exploration: Utilizing brand logos as an inspiration source for architectural design4
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