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Journal Articles

Human-Artificial Intelligence Teaming for Scientific Information Extraction from Data-Driven Additive Manufacturing Literature using Large Language Models

Mutahar Safdar, Jiarui Xie, Andrei Mircea, Yaoyao Fiona Zhao

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1432

https://doi.org/10.1115/1.4068275

Published Online: March 21, 2025

... Interfaces/Interactions Information Management Machine Learning for Engineering Applications Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received August 15, 2024; Accepted manuscript posted March 21, 2025. doi:10.1115/1.4068275 Copyright © 2025...

View Article titled, Human-Artificial Intelligence Teaming for Scientific Information Extraction from Data-Driven Additive Manufacturing Literature using Large Language Models

Topics: Additive manufacturing, Artificial intelligence, Large language models, Collaboration, Computer-aided manufacturing, Design, Engineering disciplines, Engineering systems and industry applications, Machine learning, Manufacturing

Journal Articles

Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks

Xinyao Zhang, Sibo Tian, Xiao Liang, Minghui Zheng, Sara Behdad

Publisher: ASME

J. Comput. Inf. Sci. Eng. May 2025, 25(5): 051002.

Paper No: JCISE-24-1293

https://doi.org/10.1115/1.4067157

Published Online: March 10, 2025

... learning (MTL) human intent prediction human trajectory prediction human–robot collaboration (HRC) artificial intelligence machine learning for engineering applications 01 06 2024 01 11 2024 04 11 2024 10 03 2025 1 Corresponding author. Email: sarabehdad@ufl.edu...

View Article titled, Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks

Topics: Human-robot collaboration, Robots, Trajectories (Physics)

Journal Articles

Hybrid Physics-Infused One-Dimensional Convolutional Neural Network-Based Ensemble Learning Framework for Diesel Engine Fault Diagnostics

Shubhendu Kumar Singh, Raj Pradip Khawale, Subhashis Hazarika, Rahul Rai

Publisher: ASME

J. Comput. Inf. Sci. Eng. April 2025, 25(4): 041006.

Paper No: JCISE-23-1592

https://doi.org/10.1115/1.4067986

Published Online: March 7, 2025

...) T im = Intake manifold temperature (K) V em = Exhaust manifold volume (m 3 ) V im = Intake manifold volume (m 3 ) Tau = Torque (Nm) ω t = Rotational turbine speed (rpm) artificial intelligence machine learning...

View Article titled, Hybrid Physics-Infused One-Dimensional Convolutional Neural Network-Based Ensemble Learning Framework for Diesel Engine Fault Diagnostics

Topics: Convolutional neural networks, Diesel engines, Physics, Engines, Flaw detection

Journal Articles

Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems

Boris Oskolkov, Chen Kan, Wenmeng Tian, Andrew Chung Chee Law, Chenang Liu

Publisher: ASME

J. Comput. Inf. Sci. Eng. April 2025, 25(4): 041004.

Paper No: JCISE-24-1188

https://doi.org/10.1115/1.4067736

Published Online: March 6, 2025

... Email: tian@ise.msstate.edu Email: chen.kan@uta.edu Email: boris.oskolkov@okstate.edu blockchain cyber manufacturing incremental learning security protection engineering informatics industrial internet of things machine learning for engineering applications Algorithm 1...

View Article titled, Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems

Topics: Blockchain technology, Machine learning, Manufacturing, Security, Manufacturing systems

Journal Articles

Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes

Yuqi Su, Xiaolei Fang

Publisher: ASME

J. Comput. Inf. Sci. Eng. April 2025, 25(4): 041002.

Paper No: JCISE-24-1255

https://doi.org/10.1115/1.4067843

Published Online: February 24, 2025

... multiple failure modes mixture (log)-location-scale distribution big data and analytics machine learning for engineering applications Algorithm 1 Input : { X ~ i , y ~ i } i = 1 n : Training data after applying the SWM I : Maximum iteration...

View Article titled, Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes

Topics: Deep learning, Failure mechanisms, Signals, Failure, Engineering systems and industry applications, Service life (Equipment), Weibull distribution

Journal Articles

Adaptive Thermal History De-Identification for Privacy-Preserving Data Sharing of Directed Energy Deposition Processes

Mahathir Mohammad Bappy, Durant Fullington, Linkan Bian, Wenmeng Tian

Publisher: ASME

J. Comput. Inf. Sci. Eng. March 2025, 25(3): 031006.

Paper No: JCISE-23-1270

https://doi.org/10.1115/1.4067210

Published Online: January 29, 2025

... sharing big data and analytics computational foundations for additive manufacturing cyber physical security for factories cybermanufacturing industrial Internet of things machine learning for engineering applications National Science Foundation 10.13039/100000001 CMMI-2046515...

View Article titled, Adaptive Thermal History De-Identification for Privacy-Preserving Data Sharing of Directed Energy Deposition Processes

Topics: Additive manufacturing, Algorithms, Data privacy, Design, Intellectual property, Modeling, Printing, Trajectories (Physics), Machine learning, Security

Journal Articles

Optimizing Robotic Manipulation With Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning

Yujian Dong, Tianyu Wu, Chaoyang Song

Publisher: ASME

J. Comput. Inf. Sci. Eng. March 2025, 25(3): 031004.

Paper No: JCISE-24-1245

https://doi.org/10.1115/1.4067524

Published Online: January 27, 2025

... 12 2024 27 01 2025 foundation models recurrent models lifelong learning robot learning artificial intelligence computational foundations for engineering optimization data-driven engineering engineering informatics machine learning for engineering applications multiphysics...

View Article titled, Optimizing Robotic Manipulation With Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning

Topics: Lifelong learning, Modeling, Robotics, Robots

Journal Articles

Integrating Graph Retrieval-Augmented Generation With Large Language Models for Supplier Discovery

Yunqing Li, Hyunwoong Ko, Farhad Ameri

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021010.

Paper No: JCISE-24-1217

https://doi.org/10.1115/1.4067389

Published Online: January 10, 2025

...@asu.edu Email: Farhad.Ameri@asu.edu 23 04 2024 03 12 2024 08 12 2024 10 01 2025 artificial intelligence big data and analytics cybermanufacturing data-driven engineering knowledge engineering machine learning for engineering applications manufacturing automation...

View Article titled, Integrating Graph Retrieval-Augmented Generation With Large Language Models for Supplier Discovery

Topics: Construction, Large language models, Manufacturing, Ontologies, Retrieval-augmented generation, Supply chains

Journal Articles

Finite-Volume Physics-Informed U-Net for Flow Field Reconstruction with Sparse Data

Tong Zhu, Dehao Liu, Yanglong Lu

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1431

https://doi.org/10.1115/1.4067583

Published Online: January 9, 2025

... Applications Inverse Methods for Engineering Applications Machine Learning for Engineering Applications Hong Kong University of Science and Technology 10.13039/501100005950 OKT24EG05 University Grants Committee 10.13039/501100001839 RMGS24EG04 Accepted Manuscript Not Copyedited...

View Article titled, Finite-Volume Physics-Informed U-Net for Flow Field Reconstruction with Sparse Data

Topics: Flow (Dynamics), Physics, Engineering systems and industry applications, Artificial neural networks, Boundary-value problems, Convolutional neural networks, Finite volume methods, Fluid dynamics, Machine learning, Partial differential equations

Journal Articles

DesignQA: A Multimodal Benchmark for Evaluating Large Language Models’ Understanding of Engineering Documentation

Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Mohammadmehdi Ataei, Hyunmin Cheong, Faez Ahmed

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021009.

Paper No: JCISE-24-1230

https://doi.org/10.1115/1.4067333

Published Online: December 23, 2024

...-driven engineering machine learning for engineering applications Directorate for Engineering 10.13039/100000084 2023345746 Large language models (LLMs), such as ChatGPT [ 1 ], are chat-bots that can engage in conversations based on user queries. Trained on data from much...

View Article titled, DesignQA: A Multimodal Benchmark for Evaluating Large Language Models’ Understanding of Engineering Documentation

Topics: Computer-aided design, Design, Dimensions, Engineering design, Large language models, Retrieval-augmented generation, Vehicles, Engineers, Engineering drawings, Engineering drawing and drafting

Journal Articles

Understanding the Impact of Applying Large Language Model in Engineering Design Education

Chonghui Zhang, Yaoyao Fiona Zhao, Randous El Haddad

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021008.

Paper No: JCISE-24-1218

https://doi.org/10.1115/1.4067318

Published Online: December 19, 2024

...: yaoyao.zhao@mcgill.ca Email: randy.elhaddad@mail.mcgill.ca 23 04 2024 12 11 2024 17 11 2024 19 12 2024 Graphical Abstract Figure artificial intelligence computer-aided design human–computer interfaces/interactions machine learning for engineering applications...

View Article titled, Understanding the Impact of Applying Large Language Model in Engineering Design Education

Topics: Chatgpt, Computer-aided design, Design, Modeling, Students, Feedback, Education, Large language models

Journal Articles

Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing

Tsegai O. Yhdego, Hui Wang, Hongmei Chi, Zhibin Yu

Publisher: ASME

J. Comput. Inf. Sci. Eng. January 2025, 25(1): 011006.

Paper No: JCISE-24-1108

https://doi.org/10.1115/1.4067086

Published Online: December 6, 2024

... cybermanufacturing industrial internet of things engineering informatics machine learning for engineering applications 25 02 2024 26 10 2024 30 10 2024 06 12 2024 Email: zyu@eng.famu.fsu.edu Email: hongmei.chi@famu.edu 1 Corresponding author. Email: hwang10...

View Article titled, Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing

Topics: Ontologies, Algorithms, Optimization, Noise (Sound), Manufacturing, Machine learning

Journal Articles

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring

Vispi Karkaria, Jie Chen, Christopher Luey, Chase Siuta, Damien Lim, Robert Radulescu, Wei Chen

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1419

https://doi.org/10.1115/1.4067270

Published Online: November 26, 2024

... Engineering Informatics Machine Learning for Engineering Applications 10 08 2024 17 11 2024 17 11 2024 26 11 2024 Email: weichen@northwestern.edu Email: robert.radulescu@michelin.com Email: damien.lim@michelin.com Email: chase.siuta@michelin.com Email...

View Article titled, A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring

Topics: Digital twin, Machine learning, Maintenance, Tires

Journal Articles

Evaluating Large Language Models for Material Selection

Daniele Grandi, Yash Patawari Jain, Allin Groom, Brandon Cramer, Christopher McComb

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021004.

Paper No: JCISE-24-1207

https://doi.org/10.1115/1.4066730

Published Online: November 14, 2024

... with the design. material selection large language models context-aware design assistance artificial intelligence data-driven engineering machine learning for engineering applications Graphical Abstract Figure 19 04 2024 19 09 2024 22 09 2024 14 11 2024 Email...

View Article titled, Evaluating Large Language Models for Material Selection

Topics: Design, Large language models, Temperature, Chain

Journal Articles

Offline Reinforcement Learning for Adaptive Control in Manufacturing Processes: A Press Hardening Case Study

Nuria Nievas, Leonardo Espinosa-Leal, Adela Pagès-Bernaus, Albert Abio, Lluís Echeverria, Francesc Bonada

Publisher: ASME

J. Comput. Inf. Sci. Eng. January 2025, 25(1): 011004.

Paper No: JCISE-24-1087

https://doi.org/10.1115/1.4066999

Published Online: November 12, 2024

...@arcada.fi Email: adela.pages@udl.cat Email: albert.abio@eurecat.org Email: lluis.echeverria@eurecat.org artificial intelligence machine learning for engineering applications manufacturing automation References [1] Jiang , Y. , Yin , S. , Dong , J...

View Article titled, Offline Reinforcement Learning for Adaptive Control in Manufacturing Processes: A Press Hardening Case Study

Topics: Algorithms, Cycles, Hardening, Manufacturing, Reinforcement learning, Temperature, Data collection, Adaptive control, Uncertainty

Journal Articles

Early Quality Prediction of Complex Double-Walled Hollow Turbine Blades Based on Improved Whale Optimization Algorithm

Yiwei Dong, Yuhan Gong, Xu Bo, Zhiyong Tan

Publisher: ASME

J. Comput. Inf. Sci. Eng. January 2025, 25(1): 011003.

Paper No: JCISE-24-1059

https://doi.org/10.1115/1.4066855

Published Online: November 12, 2024

...: yiweidong@xmu.edu.cn Email: 19511317820@163.com Email: 12425085@zju.edu.cn Email: tanzhiyong2024@163.com early quality prediction double-walled hollow turbine blade cubic mapping whale optimization algorithm data-driven engineering machine learning for engineering applications...

View Article titled, Early Quality Prediction of Complex Double-Walled Hollow Turbine Blades Based on Improved Whale Optimization Algorithm

Topics: Algorithms, Errors, Optimization algorithms, Turbine blades, Blades, Statistics, Casting, Simulation, Machine learning, Particle swarm optimization

Journal Articles

Putting the Ghost in the Machine: Emulating Cognitive Style in Large Language Models

Vasvi Agarwal, Kathryn Jablokow, Christopher McComb

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021002.

Paper No: JCISE-24-1213

https://doi.org/10.1115/1.4066857

Published Online: November 12, 2024

... 16 09 2024 12 11 2024 machine learning for engineering applications Kirton’s Adaption–Innovation theory large language models artificial intelligence in design prompt engineering generative AI The performance of design teams is dictated not only by the abilities...

View Article titled, Putting the Ghost in the Machine: Emulating Cognitive Style in Large Language Models

Topics: Design, Innovation, Large language models

Journal Articles

Epsilon-Greedy Thompson Sampling to Bayesian Optimization

Bach Do, Taiwo Adebiyi, Ruda Zhang

Publisher: ASME

J. Comput. Inf. Sci. Eng. December 2024, 24(12): 121006.

Paper No: JCISE-24-1239

https://doi.org/10.1115/1.4066858

Published Online: November 5, 2024

... computational foundations for engineering optimization inverse methods for engineering applications inverse methods for engineering applications machine learning for engineering applications Algorithm 2 Generation of sample paths using random features 1: Input: dataset D k − 1 , type...

View Article titled, Epsilon-Greedy Thompson Sampling to Bayesian Optimization

Topics: Optimization, Cantilever beams, Algorithms

Journal Articles

Toward Accelerating Discovery via Physics-Driven and Interactive Multifidelity Bayesian Optimization

Arpan Biswas, Mani Valleti, Rama Vasudevan, Maxim Ziatdinov, Sergei V. Kalinin

Publisher: ASME

J. Comput. Inf. Sci. Eng. December 2024, 24(12): 121005.

Paper No: JCISE-24-1186

https://doi.org/10.1115/1.4066856

Published Online: November 5, 2024

... exploration multifidelity Bayesian optimization structured Gaussian process Ising model artificial intelligence data-driven engineering human computer interfaces/interactions machine learning for engineering applications physics-based simulations U.S. Department of Energy 10.13039/100000015...

View Article titled, Toward Accelerating Discovery via Physics-Driven and Interactive Multifidelity Bayesian Optimization

Topics: Ising model, Optimization, Physics, Simulation, Workflow, Space

Includes: Supplementary data

Journal Articles

Deep Learning-Driven Analysis of a Six-Bar Mechanism for Personalized Gait Rehabilitation

Naveed Ahmad Khan, Shahid Hussain, Wayne Spratford, Roland Goecke, Ketan Kotecha, Prashant K. Jamwal

Publisher: ASME

J. Comput. Inf. Sci. Eng. January 2025, 25(1): 011001.

Paper No: JCISE-24-1349

https://doi.org/10.1115/1.4066859

Published Online: November 5, 2024

... rehabilitation six-bar linkage mechanism data-driven simulation deep learning for engineering applications evolutionary computation artificial intelligence data-driven engineering machine learning for engineering applications model-based systems engineering The tendency of stroke to cause...

View Article titled, Deep Learning-Driven Analysis of a Six-Bar Mechanism for Personalized Gait Rehabilitation

Topics: Deep learning, Genetic algorithms, Linkages, Trajectories (Physics), Robots, Errors, Optimization, Algorithms, Feedforward neural networks

Journal citation

NARROW

Supplemental Material

Manuscript

Human-Artificial Intelligence Teaming for Scientific Information Extraction from Data-Driven Additive Manufacturing Literature using Large Language Models

Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks

Hybrid Physics-Infused One-Dimensional Convolutional Neural Network-Based Ensemble Learning Framework for Diesel Engine Fault Diagnostics

Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems

Deep Learning-Based Residual Useful Lifetime Prediction for Assets With Uncertain Failure Modes

Adaptive Thermal History De-Identification for Privacy-Preserving Data Sharing of Directed Energy Deposition Processes

Optimizing Robotic Manipulation With Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning

Integrating Graph Retrieval-Augmented Generation With Large Language Models for Supplier Discovery

Finite-Volume Physics-Informed U-Net for Flow Field Reconstruction with Sparse Data

DesignQA: A Multimodal Benchmark for Evaluating Large Language Models’ Understanding of Engineering Documentation

Understanding the Impact of Applying Large Language Model in Engineering Design Education

Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring

Evaluating Large Language Models for Material Selection

Offline Reinforcement Learning for Adaptive Control in Manufacturing Processes: A Press Hardening Case Study

Early Quality Prediction of Complex Double-Walled Hollow Turbine Blades Based on Improved Whale Optimization Algorithm

Putting the Ghost in the Machine: Emulating Cognitive Style in Large Language Models

Epsilon-Greedy Thompson Sampling to Bayesian Optimization

Toward Accelerating Discovery via Physics-Driven and Interactive Multifidelity Bayesian Optimization

Deep Learning-Driven Analysis of a Six-Bar Mechanism for Personalized Gait Rehabilitation

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