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ORCIDJournal of Computing and Information Science in Engineering, Volume 25
Volume 25, Number 1, 2025
- Naveed Ahmad Khan, Shahid Hussain
, Wayne Spratford, Roland Goecke, Ketan Kotecha, Prashant Kumar Jamwal:
Deep Learning-Driven Analysis of a Six-Bar Mechanism for Personalized Gait Rehabilitation. - Sunchhorng Roun, Van-Loi Nguyen, Jaroon Rungamornrat:
Free Vibration and Buckling Analyses of Functionally Graded Plates With Graphene Platelets Reinforcement. - Nuria Nievas, Leonardo Espinosa-Leal, Adela Pagès-Bernaus, Albert Abio, Lluís Echeverria, Francesc Bonada:
Offline Reinforcement Learning for Adaptive Control in Manufacturing Processes: A Press Hardening Case Study. - Yiwei Dong, Yuhan Gong, Bo Xu, Zhiyong Tan:
Early Quality Prediction of Complex Double-Walled Hollow Turbine Blades Based on Improved Whale Optimization Algorithm. - Tsegai Yhdego, Hui Wang, Hongmei Chi, Zhibin Yu:
Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing. - Yaoting Yu, Yaping Zhao, Jiayue Ma, Zhiqiang Hao:
Mathematical Principle for Calculating Contacting Curve Length of Involute Helicon Gearing. - Ngoc Tien Dao, Thuy Van Tran Thi:
Mixed Finite Element Formulation in Nonlinear Geometrical Analysis of Space Trusses and Application to Trusses With Member Length Imperfection. - Mohammadmehdi Ataei, Hyunmin Cheong, Daniele Grandi, Ye Wang, Nigel Morris, Alexander Tessier:
Elicitron: A Large Language Model Agent-Based Simulation Framework for Design Requirements Elicitation. - Xingang Li, Yuewan Sun, Zhenghui Sha:
LLM4CAD: Multimodal Large Language Models for Three-Dimensional Computer-Aided Design Generation. - Chonghui Zhang, Yaoyao Fiona Zhao, Randous El Haddad:
Understanding the Impact of Applying Large Language Model in Engineering Design Education. - Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert:
Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions. - Daniele Grandi, Yash Patawari Jain, Allin Groom, Brandon Cramer, Christopher McComb:
Evaluating Large Language Models for Material Selection. - Yunqing Li, Hyunwoong Ko, Farhad Ameri:
Integrating Graph Retrieval-Augmented Generation With Large Language Models for Supplier Discovery. - Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Mohammadmehdi Ataei, Hyunmin Cheong, Faez Ahmed:
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Do cumentation. - Kiarash Naghavi Khanghah, Zihan Wang, Hongyi Xu:
Reconstruction and Generation of Porous Metamaterial Units Via Variational Graph Autoencoder and Large Language Model. - Yi Han, Mohsen Moghaddam:
Design Knowledge as Attention Emphasizer in Large Language Model-Based Sentiment Analysis. - Haoyang Xie, Dylan Hoskins, Kyle Rowe, Feng Ju:
Transformer-Based Offline Printing Strategy Design for Large Format Additive Manufacturing. - Special Issue: Large Language Models in Design and Manufacturing.
- Chenhan Jiang, Rui Huang, Tao Shen:
Generative AI-Enabled Conceptualization: Charting ChatGPT's Impacts on Sustainable Service Design Thinking With Network-Based Cognitive Maps.
Volume 25, Number 2, 2025
- Vasvi Agarwal, Kathryn W. Jablokow, Christopher McComb:
Putting the Ghost in the Machine: Emulating Cognitive Style in Large Language Models. - Liuqing Chen, Duowei Xia, Zhaojun Jiang, Xinyang Tan, Lingyun Sun, Lin Zhang:
A Conceptual Design Method Based on Concept-Knowledge Theory and Large Language Models.
Volume 25, Number 3, 2025
- Jiaqi Xu, Qiaofeng Li, Li Zheng:
A Robust Model for Hydrogen Supply Chain Network Design in China Under Renewable Energy Uncertainty. - Yujian Dong, Tianyu Wu, Chaoyang Song:
Optimizing Robotic Manipulation With Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning. - Peijian Zeng, Nankai Lin, Shun Li, Liheng Hou, Jianghao Lin, Aimin Yang:
MODAL-DRN-BL: A Framework for Modal Analysis Based on Dilated Residual Broad Learning Networks. - Chaofan Huang, Sunday Aduloju, John Fritz, V. Roshan Joseph, Mark C. Messner, Timothy J. Truster:
Calibration of RAFM Micromechanical Model for Creep Using Bayesian Optimization for Functional Output. - Shivam Kainth, Shashi Shekhar Jha:
Deep Reinforcement Learning Based Localization and Tracking of Intruder Drone. - Suryapavan Cheruku, Suryanarayan Balaji, Adolfo Delgado, Vinayak R. Krishnamurthy:
Data-Driven Digital Twins for Real-Time Machine Monitoring: A Case Study on a Rotating Machine. - Mahathir Mohammad Bappy, Durant Fullington, Linkan Bian, Wenmeng Tian:
Adaptive Thermal History De-Identification for Privacy-Preserving Data Sharing of Directed Energy Deposition Processes. - MacKenzie Harnett, Amanda K. Lacy, Pijuan Yu, Rebecca Fenton Friesen:
Haptic Interaction Methods for Freehand Contour Generation on a Refreshable Pin Display. - Farzad Vatandoust, Xiaoliang Yan, David W. Rosen, Shreyes N. Melkote:
Manufacturing Feature Recognition With a Sparse Voxel-Based Convolutional Neural Network.
Volume 25, Number 4, 2025
- Yuqi Su, Xiaolei Fang:
Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes. - Runlin Duan, Xiyun Hu, Min Liu, Jingyu Shi, Karthik Ramani:
pARametric: Empowering In Situ Parametric Modeling in Augment Reality for Personal Fabrication. - Boris Oskolkov, Chen Kan, Wenmeng Tian, Andrew Chung Chee Law, Chenang Liu:
Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems. - H. M. Dilshad Alam Digonta, Mathew Baby, Anand Balu Nellippallil:
A Framework for the Simultaneous Multilevel Design Exploration and Decision Support of Material Structures and Manufacturing Processes. - Elizabeth Jordan, Arko Chatterjee, Ruochen Yang, Katrina M. Groth, Shapour Azarm:
On a Sampling-Based Method for Multi-Objective Robust Optimization. - Soner Camuz, Anders Liljerehn, Lars Lindkvist, Kristina Wärmefjord, Rikard Söderberg:
Robustness Optimization of the Tip Seat of an Indexable Cutting Tool. - Shubhendu Kumar Singh, Raj Pradip Khawale, Subhashis Hazarika, Rahul Rai:
Hybrid Physics-Infused One-Dimensional Convolutional Neural Network-Based Ensemble Learning Framework for Diesel Engine Fault Diagnostics. - Wenhang Dong, Shufei Li, Pai Zheng:
Toward Embodied Intelligence-Enabled Human-Robot Symbiotic Manufacturing: A Large Language Model-Based Perspective. - Yaxin Cui, Zhuoxin Sun, Yinshuang Xiao, Zhenghui Sha, Johan Koskinen, Noshir Contractor, Wei Chen:
Network Analysis of Two-Stage Customer Decisions With Preference-Guided Market Segmentation. - Peter Stone, Matthew Ebert, Wenchao Zhou, Ergun Akleman, Vinayak R. Krishnamurthy, Zhenghui Sha:
SafeZone*: A Graph-Based and Time-Optimal Cooperative 3D Printing Framework.
Volume 25, Number 5, 2025
- Special Issue: Human-Robot Collaboration in Industry 5.0.
- Xinyao Zhang, Sibo Tian, Xiao Liang, Minghui Zheng, Sara Behdad:
Multi-Task Learning for Intention and Trajectory Prediction in Human-Robot Collaborative Disassembly Tasks. - Yong Tao, Haitao Liu, Yian Song, Changyi Deng, Baicun Wang, Pai Zheng:
Dynamic Tip-Over Avoidance Method for Mobile Manipulators Based on the Extended Zero-Moment Point Algorithm for Human-Robot Collaboration. - Hemanth Manjunatha, Amirhossein H. Memar, Ehsan Tarkesh Esfahani:
Estimating Motor Control Difficulty in Human-Robot Fine Co-Manipulation Tasks Using Brain Activities. - Hao-Yu Liao, Yuhao Chen, Boyi Hu, Xiao Liang, Sara Behdad:
Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning. - Chih-Hsing Chu, I-Yun Lee:
An Experimental Study on the Design of Interaction Modalities in Augmented Reality for Industrial Robot Programming.
Volume 25, Number 6, 2025
- Lukman Irshad, Daniel Hulse:
Toward Early Design Modeling and Simulation of Distributed Situation Awareness. - Chandan K. Sahu, Rahul Rai, Margaret Wiecek, David J. Gorsich:
ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements From the Tree Structure of System Requirement Specifications.
Volume 25, Number 7, 2025
- Benjamin D. Graber, John G. Michopoulos, Athanasios P. Iliopoulos, John C. Steuben, Nicole A. Apetre:
Computational Modeling of Spectral Radiance Emitted by Atmospheric Plasma Induced by Hypersonic Flows. - Christopher-Denny Matte, Tsz-Ho Kwok:
Modeling Elastic Cable-Surface Friction for Soft Robots. - Vispi Karkaria, Jie Chen, Christopher Luey, Chase Siuta, Damien Lim, Robert Radulescu, Wei Chen:
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring. - Tong Zhu, Dehao Liu, Yanglong Lu:
Finite-Volume Physics-Informed U-Net for Flow Field Reconstruction With Sparse Data. - John G. Michopoulos, Nicole A. Apetre, Athanasios P. Iliopoulos, John C. Steuben:
On a Multiphysics Digital Twin for Aging Prediction of Adhesive Step Lap Joints.
Volume 25, Number 8, 2025
- Zhihong Tang, Qiang Zou, Shuming Gao:
Determining Valid Parameter Ranges for Multiparameter Editing of Three-Dimensional Parametric Computer-Aided Design Models. - Anyu Mu, Zhenyu Liu, Guifang Duan, Jianrong Tan:
An Efficient Conflict Detection and Resolution Scheme for Geometric Constraints Using a Pruning and Backtracking Strategy. - Douglas L. Van Bossuyt, Douglas Allaire, Jason Bickford, Thomas A. Bozada, Wei Wayne Chen, Roger P. Cutitta, Robert Cuzner, Kristen Fletcher, Ronald Giachetti, Britta Hale, H. Howie Huang, Michael Keidar, Astrid Layton, Allison Ledford, Marina Lesse, Jonathan Lussier, Richard J. Malak, Bryan Mesmer, Gregory Mocko, Giovanna Oriti, Daniel Selva, Cameron Turner, Michael Watson, Ana Wooley, Zhen Zeng:
The Future of Digital Twin Research and Development.
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