AI EDAM-Artificial Intelligence for Engineering Design Analysis and Ma

Papers
(The median citation count of AI EDAM-Artificial Intelligence for Engineering Design Analysis and Ma is 2. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer21
Enabling multi-modal search for inspirational design stimuli using deep learning20
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
inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle14
Potentials and challenges of analyzing use phase data in product planning of manufacturing companies11
Finite-element analysis case retrieval based on an ontology semantic tree10
Towards comprehensive digital evaluation of low-carbon machining process planning10
Gamification of design thinking: a way to enhance effectiveness of learning9
Breaking up data-enabled design: expanding and scaling up for the clinical context9
Adaptive hyperball Kriging method for efficient reliability analysis8
A semi-supervised anomaly detection approach for detecting mechanical failures8
Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN8
Artificial intelligence methods for improving the inventive design process, application in lattice structure case study7
Managing combinatorial design challenges using flexibility and pathfinding algorithms7
Developing a data analytics toolbox for data-driven product planning: a review and survey methodology6
Measuring ideation effectiveness in bioinspired design6
Exploring the impact of set-based concurrent engineering through multi-agent system simulation6
Evaluating the learning and performance characteristics of self-organizing systems with different task features6
Analyzing problem framing in design teams: a systems mapping approach6
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
Enhancing TRIZ through environment-based design methodology supported by a large language model5
Data-enabled sketch search and retrieval for visual design stimuli generation5
A stochastic topology optimization algorithm for improved fluid dynamics systems5
ChatGPT as an inventor: eliciting the strengths and weaknesses of current large language models against humans in engineering design4
The effects of generative AI model type and visual stimuli type on design creativity4
Comparative analysis of machine learning algorithms for predicting standard time in a manufacturing environment4
Stone masonry design automation via reinforcement learning4
Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge4
A hybrid particle swarm optimization and recurrent dynamic neural network for multi-performance optimization of hard turning operation4
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
Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review4
Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process4
Graph transformation in engineering design: an overview of the last decade4
Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments4
AI-driven design exploration: Utilizing brand logos as an inspiration source for architectural design3
Continuous cycles of data-enabled design: reimagining the IoT development process3
An ontology-based fault generation and fault propagation analysis approach for safety-critical computer systems at the design stage3
A method to explore strategies to communicate user experience through storyboards: an automotive design case study3
Segmentation method of U-net sheet metal engineering drawing based on CBAM attention mechanism3
Knowledge graph-assisted design-by-analogy: promoting product innovation through structured analogical knowledge retrieval3
Design without representation3
A knowledge transfer method for human-robot collaborative disassembly of end-of-life power batteries based on augmented reality3
Adopting “blackbox” engineering advice: the influence of imperfect suggestions during AI-assisted decision-making with multiple objectives3
The epsilon-knowledge: an emerging complement of Machlup's types of disciplinary knowledge3
Mapping artificial intelligence-based methods to engineering design stages: a focused literature review2
Enhancing designer creativity through human–AI co-ideation: a co-creation framework for design ideation with custom GPT2
Tool life prediction via SMB-enabled monitor based on BPNN coupling algorithms for sustainable manufacturing2
What shape grammars do that CAD should: the 14 cases of shape embedding2
Evaluating large-language-model chatbots to engage communities in large-scale design projects2
An evolutionary form design method based on aesthetic dimension selection and NSGA-II2
Dynamic workload reallocation for human–robot teams based on real-time stress analysis2
Machine learning models for sequential motion recognition in human activity for logistics operations efficiency improvement2
Parametric optimization of FDM using the ANN-based whale optimization algorithm2
Visualization and inquiry into mental content in design activity: a case study of design interpretation2
An investigation into the cognitive, metacognitive, and spatial markers of creativity and efficiency in architectural design2
Representations in design computing through 3-D deep generative models2
Graph-based approach for enumerating floorplans based on users specifications2
Dynamic semantic networks for exploration of creative thinking2
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