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Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Volume 38
Volume 38, 2024
- Xiaoxu Diao

, Yunfei Zhao
, Pavan Kumar Vaddi, Michael C. Pietrykowski, Marat Khafizov, Carol S. Smidts:
Multiple aspects maintenance ontology-based intelligent maintenance optimization framework for safety-critical systems. - Yang Mao

, Yu He, Chengyi Yu, Honghui Zhang, Ke Zhang, Xiaojun Sun:
A one-step calibration method without redundant parameters for a laser stripe sensor. - James A. Gopsill

, Mark Goudswaard
, Chris Snider
, Lorenzo Giunta
, Ben J. Hicks
:
Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments. - Zhilong Song

, Wenhong Zhao, Xiao Zhang, Mingfeng Ke, Wei Fang, Binghai Lyu:
Stacking ensemble learning based material removal rate prediction model for CMP process of semiconductor wafer. - Ning An

, Linsheng Huang, Mengnan Hu, Junan Zhu
, Chuanjian Wang
:
Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv5. - Xuesong Xu, Zhenbo Cheng

, Gang Xiao, Yuanming Zhang, Haoxin Zhang, Hangcheng Meng:
Finite-element analysis case retrieval based on an ontology semantic tree. - Ashwani Kumar

, Deepak Chhabra
:
Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN. - Colin Soete

, Michaël Rademaker, Sofie Van Hoecke:
A semi-supervised anomaly detection approach for detecting mechanical failures. - Melina Panzner

, Sebastian von Enzberg
, Roman Dumitrescu:
Developing a data analytics toolbox for data-driven product planning: a review and survey methodology. - Gregory Litster

, Carlos Cardoso, Ada Hurst
:
Analyzing problem framing in design teams: a systems mapping approach. - Kamel Bousnina, Anis Hamza

, Noureddine Ben Yahia:
Design of an intelligent simulator ANN and ANFIS model in the prediction of milling performance (QCE) of alloy 2017A. - Jie Li, Liangliang Duan, Weibin Qu, Hangbin Zheng:

A knowledge transfer method for human-robot collaborative disassembly of end-of-life power batteries based on augmented reality. - Basak Çakmak

, Cihan Öngün
:
Representations in design computing through 3-D deep generative models. - Jonathan Dortheimer

, Nik Martelaro
, Aaron Sprecher
, Gerhard Schubert
:
Evaluating large-language-model chatbots to engage communities in large-scale design projects. - Danko D. Georgiev

, Georgi V. Georgiev
:
Dynamic semantic networks for exploration of creative thinking. - Ji Han, Peter R. N. Childs

, Jianxi Luo
:
Applications of artificial intelligence and cognitive science in design. - Willem van der Maden

, Derek Lomas, Paul Hekkert:
Developing and evaluating a design method for positive artificial intelligence. - Chris McTeague

, Anna P. Chatzimichali
:
An approach for enhancing and measuring information comprehensibility for engineering designers: applied to patent documents. - Mirothali Chand

, Chandrasekar Ravi:
A novel reinforcement learning framework for disassembly sequence planning using Q-learning technique optimized using an enhanced simulated annealing algorithm. - Umamaheswara Raju R. S.

, Ravi Kumar Kottala, B. Madhava Varma, Palla Krishna, Praveen Barmavatu
:
Internet of Things and hybrid models-based interpretation systems for surface roughness estimation. - Hang Ren, Shaogang Liu, Bo Qiu, Hong Guo, Dan Zhao:

A novel intelligent fault diagnosis method of bearing based on multi-head self-attention convolutional neural network. - Jie Li, Weibin Qu, Hangbin Zheng, Rong Zhang, Shimin Liu:

Generation of human-robot collaboration disassembly sequences for end-of-life lithium-ion batteries based on knowledge graph. - Fei Li

, Kun Hu, Hangbin Zheng:
Real-time multidimensional detection of longitudinal tears in conveyor belts using FPGA-based parallel acceleration. - Xiangshuai Deng, Dongsheng Du, Huaisong Fang, Yiming Ren:

Fault diagnosis of proton exchange membrane fuel cells based on improved YOLOv5. - Kausik Bhattacharya, Anubhab Majumder

, Apoorv Naresh Bhatt, Sonal Keshwani, B. S. C. Ranjan, Srinivasan Venkataraman
, Amaresh Chakrabarti:
Developing a method for creating structured representations of working of systems from natural language descriptions using the SAPPhIRE model of causality.

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