- Pinki, Krishnendra Shekhawat, Akshat Lal. Automated generation of floor plans with minimum bends. AI EDAM, 39, 2025.
- Yao Pan, Shijia Kang, Linggang Kong, Jiaju Wu 0002, Yonghui Yang, Hongfu Zuo. Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review. AI EDAM, 39, 2025.
- (eric) Heng Gu, Senthil Chandrasegaran, Peter Lloyd. Synthetic users: insights from designers' interactions with persona-based chatbots. AI EDAM, 39, 2025.
- Chih-Feng Cheng, Chiuhsiang Joe Lin, Qin-Xuan Hu. Machine learning models for sequential motion recognition in human activity for logistics operations efficiency improvement. AI EDAM, 39, 2025.
- Colin Soete, Michaƫl Rademaker, Sofie Van Hoecke. A semi-supervised anomaly detection approach for detecting mechanical failures. AI EDAM, 38, 2024.
- Xuesong Xu, ZhenBo Cheng, Gang Xiao 0001, Yuanming Zhang, Haoxin Zhang, Hangcheng Meng. Finite-element analysis case retrieval based on an ontology semantic tree. AI EDAM, 38, 2024.
- Jie Li 0068, Weibin Qu, Hangbin Zheng, Rong Zhang 0012, Shimin Liu. Generation of human-robot collaboration disassembly sequences for end-of-life lithium-ion batteries based on knowledge graph. AI EDAM, 38, 2024.
- 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. AI EDAM, 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. AI EDAM, 38, 2024.
- 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. AI EDAM, 38, 2024.