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 2022-05-01 to 2026-05-01.)
ArticleCitations
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems25
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer18
Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv517
Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN12
CNN–NSDBO–EWTOPSIS: A hybrid multi-objective optimization approach for concrete mixture proportion design problem12
Finite-element analysis case retrieval based on an ontology semantic tree12
A semi-supervised anomaly detection approach for detecting mechanical failures9
Creation-as-transmission: a cognitive-based framework for cultural heritage learning through AI collaborative creation9
Managing combinatorial design challenges using flexibility and pathfinding algorithms9
Convolutional autoencoder for on-demand parametric inverse design of local resonator geometry in wind turbine metastructure targeting vibration control9
Developing a data analytics toolbox for data-driven product planning: a review and survey methodology8
Analyzing problem framing in design teams: a systems mapping approach7
ChatGPT as an inventor: eliciting the strengths and weaknesses of current large language models against humans in engineering design7
Sampling balanced high-quality data to train an automatic mesh generator7
Measuring ideation effectiveness in bioinspired design7
Enhancing TRIZ through environment-based design methodology supported by a large language model7
Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process6
Exploring the impact of set-based concurrent engineering through multi-agent system simulation6
Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge6
Comparative analysis of machine learning algorithms for predicting standard time in a manufacturing environment6
Design of an intelligent simulator ANN and ANFIS model in the prediction of milling performance (QCE) of alloy 2017A6
Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review5
The effects of generative AI model type and visual stimuli type on design creativity5
Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments5
Automatic weld joint type recognition in intelligent welding using image features and machine learning algorithms4
AI-driven design exploration: Utilizing brand logos as an inspiration source for architectural design4
Stone masonry design automation via reinforcement learning4
Adopting “blackbox” engineering advice: the influence of imperfect suggestions during AI-assisted decision-making with multiple objectives4
A knowledge transfer method for human-robot collaborative disassembly of end-of-life power batteries based on augmented reality4
Multidisciplinary concurrent optimization framework for multi-phase building design process4
Segmentation method of U-net sheet metal engineering drawing based on CBAM attention mechanism4
Graph transformation in engineering design: an overview of the last decade4
Mapping artificial intelligence-based methods to engineering design stages: a focused literature review3
Enhancing designer creativity through human–AI co-ideation: a co-creation framework for design ideation with custom GPT3
Representations in design computing through 3-D deep generative models3
Machine learning models for sequential motion recognition in human activity for logistics operations efficiency improvement3
Knowledge graph-assisted design-by-analogy: promoting product innovation through structured analogical knowledge retrieval3
Evaluating the performance of large language models in taxonomic classification of questions in verbal protocols of design3
Dynamic workload reallocation for human–robot teams based on real-time stress analysis3
Tool life prediction via SMB-enabled monitor based on BPNN coupling algorithms for sustainable manufacturing2
Uncovering hidden patterns of design ideation using hidden Markov modeling and neuroimaging2
Free-text inspiration search for systematic bio-inspiration support of engineering design2
A semantic similarity-based method to support the conversion from EXPRESS to OWL2
Small target detection of surface defects on PCB boards: an improved YOLO method integrating attention mechanism and multi-scale feature focusing2
Dynamic semantic networks for exploration of creative thinking2
Predictive maintenance in aircraft engine maintenance using the C-MAPSS dataset: performance comparison and evaluation of machine learning classification algorithms2
Evaluating daylight performance of AI-generated housing plans via diffusion models and climate-based simulation2
Educational background’s impact on designers’ ideation: brain, behavior, and stress2
Evaluating large-language-model chatbots to engage communities in large-scale design projects2
Automated generation of circulations within a floorplan2
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