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 2021-10-01 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
Towards comprehensive digital evaluation of low-carbon machining process planning10
Finite-element analysis case retrieval based on an ontology semantic tree10
Breaking up data-enabled design: expanding and scaling up for the clinical context9
Gamification of design thinking: a way to enhance effectiveness of learning9
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
Adaptive hyperball Kriging method for efficient reliability analysis8
Artificial intelligence methods for improving the inventive design process, application in lattice structure case study7
Managing combinatorial design challenges using flexibility and pathfinding algorithms7
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
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
Data-enabled sketch search and retrieval for visual design stimuli generation5
A stochastic topology optimization algorithm for improved fluid dynamics systems5
Enhancing TRIZ through environment-based design methodology supported by a large language model5
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
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
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