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 2022-06-01 to 2026-06-01.)
ArticleCitations
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer25
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems24
Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv518
Finite-element analysis case retrieval based on an ontology semantic tree13
Creation-as-transmission: a cognitive-based framework for cultural heritage learning through AI collaborative creation12
Convolutional autoencoder for on-demand parametric inverse design of local resonator geometry in wind turbine metastructure targeting vibration control12
CNN–NSDBO–EWTOPSIS: A hybrid multi-objective optimization approach for concrete mixture proportion design problem12
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 failures9
Managing combinatorial design challenges using flexibility and pathfinding algorithms9
Developing a data analytics toolbox for data-driven product planning: a review and survey methodology9
Sampling balanced high-quality data to train an automatic mesh generator8
Measuring ideation effectiveness in bioinspired design8
Analyzing problem framing in design teams: a systems mapping approach7
Enhancing TRIZ through environment-based design methodology supported by a large language model7
ChatGPT as an inventor: eliciting the strengths and weaknesses of current large language models against humans in engineering design7
Design of an intelligent simulator ANN and ANFIS model in the prediction of milling performance (QCE) of alloy 2017A7
Comparative analysis of machine learning algorithms for predicting standard time in a manufacturing environment7
Exploring the impact of set-based concurrent engineering through multi-agent system simulation7
Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments6
Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process6
Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge6
Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review5
Graph transformation in engineering design: an overview of the last decade5
Stone masonry design automation via reinforcement learning5
The effects of generative AI model type and visual stimuli type on design creativity5
Automatic weld joint type recognition in intelligent welding using image features and machine learning algorithms5
Knowledge graph-assisted design-by-analogy: promoting product innovation through structured analogical knowledge retrieval4
AI-driven design exploration: Utilizing brand logos as an inspiration source for architectural design4
Adopting “blackbox” engineering advice: the influence of imperfect suggestions during AI-assisted decision-making with multiple objectives4
Multidisciplinary concurrent optimization framework for multi-phase building design process4
Segmentation method of U-net sheet metal engineering drawing based on CBAM attention mechanism4
A knowledge transfer method for human-robot collaborative disassembly of end-of-life power batteries based on augmented reality4
Dynamic workload reallocation for human–robot teams based on real-time stress analysis3
Machine learning models for sequential motion recognition in human activity for logistics operations efficiency improvement3
Evaluating the performance of large language models in taxonomic classification of questions in verbal protocols of design3
Enhancing designer creativity through human–AI co-ideation: a co-creation framework for design ideation with custom GPT3
Educational background’s impact on designers’ ideation: brain, behavior, and stress3
Mapping artificial intelligence-based methods to engineering design stages: a focused literature review3
Representations in design computing through 3-D deep generative models3
Small target detection of surface defects on PCB boards: an improved YOLO method integrating attention mechanism and multi-scale feature focusing3
Tool life prediction via SMB-enabled monitor based on BPNN coupling algorithms for sustainable manufacturing2
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
Automated generation of circulations within a floorplan2
Uncovering hidden patterns of design ideation using hidden Markov modeling and neuroimaging2
Dynamic semantic networks for exploration of creative thinking2
Machine learning as an enabler for design automation in engineering-to-order industry2
Free-text inspiration search for systematic bio-inspiration support of engineering design2
Evaluating large-language-model chatbots to engage communities in large-scale design projects2
A semantic similarity-based method to support the conversion from EXPRESS to OWL2
Understanding the effects of hand design on embodiment in virtual reality2
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