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 3. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Enabling multi-modal search for inspirational design stimuli using deep learning31
The epsilon-knowledge: an emerging complement of Machlup's types of disciplinary knowledge13
Synthetic users: insights from designers’ interactions with persona-based chatbots12
The role of Hofstede's cultural dimensions in the design of user interface: the case of Arabic11
Free-text inspiration search for systematic bio-inspiration support of engineering design10
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems8
Evaluating the learning and performance characteristics of self-organizing systems with different task features8
Sitting posture detection and recognition of aircraft passengers using machine learning7
inML Kit: empowering the prototyping of ML-enhanced products by involving designers in the ML lifecycle7
Design change prediction based on social media sentiment analysis7
Neural networks with dimensionality reduction for predicting temperature change due to plastic deformation in a cold rolling simulation7
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer7
Visualizing design project team and individual progress using NLP: a comparison between latent semantic analysis and Word2Vector algorithms7
A novel intelligent fault diagnosis method of bearing based on multi-head self-attention convolutional neural network7
A stochastic topology optimization algorithm for improved fluid dynamics systems5
AIE volume 35 issue 4 Cover and Back matter5
Mapping artificial intelligence-based methods to engineering design stages: a focused literature review5
Generation of human–robot collaboration disassembly sequences for end-of-life lithium–ion batteries based on knowledge graph5
Exploring the impact of set-based concurrent engineering through multi-agent system simulation5
A user model to directly compare two unmodified interfaces: a study of including errors and error corrections in a cognitive user model4
A one-step calibration method without redundant parameters for a laser stripe sensor4
Idea generation with Technology Semantic Network4
Data-inspired co-design for museum and gallery visitor experiences4
An ontology-based fault generation and fault propagation analysis approach for safety-critical computer systems at the design stage4
A study on the link between design brief structure and stimulus fidelity to optimize novelty and usefulness4
Extenics enhanced axiomatic design procedure for AI applications4
Design without representation4
Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv53
Potentials and challenges of analyzing use phase data in product planning of manufacturing companies3
Analyzing problem framing in design teams: a systems mapping approach3
Design of an intelligent simulator ANN and ANFIS model in the prediction of milling performance (QCE) of alloy 2017A3
Influencers in design teams: a computational framework to study their impact on idea generation3
Data-enabled sketch search and retrieval for visual design stimuli generation3
Comparative analysis of machine learning algorithms for predicting standard time in a manufacturing environment3
Linear kitchen layout design via machine learning3
0.036357879638672