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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.

Paper No: JCISE-24-1217

https://doi.org/10.1115/1.4067389

Published Online: December 11, 2024

... 03 12 2024 08 12 2024 11 12 2024 Email: hyunwoong.ko@asu.edu Email: yunqing.connie.li@asu.edu Email: farhad.ameri@asu.edu Artificial Intelligence Big Data and Analytics Cybermanufacturing Data-Driven engineering Knowledge Engineering Machine Learning...

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

Topics: Large language models, Supply chains, Artificial intelligence, Construction, Engineering systems and industry applications, Machine learning, Manufacturing, Manufacturing automation, Natural language processing, Ontologies

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

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

Chonghui Zhang, Yaoyao Fiona Zhao, Randy El Haddad

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1218

https://doi.org/10.1115/1.4067318

Published Online: December 5, 2024

...@mcgill.ca Email: randy.elhaddad@mail.mcgill.ca Artificial Intelligence Computer Aided Design Human Computer Interfaces/Interactions Machine Learning for Engineering Applications Journal of Computing and Information Science in Engineering. Received April 23, 2024; Accepted manuscript posted...

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

Topics: Computer-aided design, Education, Engineering design, Large language models, Modeling, Artificial intelligence, Chatgpt, Design, Design education, Design engineering

Journal Articles

Large Language Models in Design and Manufacturing

Yaoyao Fiona Zhao, Evangelos Niforatos, Tonya Custis, Yan Lu, Jianxi Luo

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1611

https://doi.org/10.1115/1.4067319

Published Online: December 5, 2024

... Email: tonya.custis@autodesk.com Email: yan.lu@nist.gov Email: jianxi.luo@cityu.edu.hk Machine Learning for Engineering Applications Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received November 22, 2024; Accepted manuscript posted...

View Article titled, Large Language Models in Design and Manufacturing

Topics: Design, Large language models, Manufacturing, Engineering design, Engineering systems and industry applications, Engineers, Innovation, Machine learning, Natural language processing, Teams

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.

Paper No: JCISE-24-1230

https://doi.org/10.1115/1.4067333

Published Online: December 5, 2024

... Machine Learning for Engineering Applications Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received April 29, 2024; Accepted manuscript posted December 5, 2024. doi:10.1115/1.4067333 Copyright © 2024 by ASME Anna C. Doris1 Massachusetts Institute...

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

Topics: Large language models, Design, Computer-aided design, Engineering drawings, Artificial intelligence, Engineering design processes, Engineering systems and industry applications, Engineers, Machine learning, Student competitions

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

Adaptive Thermal History Deidentification 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.

Paper No: JCISE-23-1270

https://doi.org/10.1115/1.4067210

Published Online: November 21, 2024

... Learning for Engineering Applications National Science Foundation 10.13039/100000001 CMMI-2046515 Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received June 02, 2023; Accepted manuscript posted November 05, 2024. doi:10.1115/1.4067210...

View Article titled, Adaptive Thermal History Deidentification for Privacy-preserving Data Sharing of Directed Energy Deposition Processes

Topics: Additive manufacturing, Convolutional neural networks, Data privacy, Engineering systems and industry applications, Intellectual property, Internet of things, Machine learning, Metals, Modeling, Preservation

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

... design inspiration [ 8 ]. 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...

View Article titled, Evaluating Large Language Models for Material Selection

Topics: Design, Large language models, Temperature, Chain

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.

Paper No: JCISE-24-1293

https://doi.org/10.1115/1.4067157

Published Online: November 14, 2024

...: sibotian@tamu.edu Email: xliang@tamu.edu Email: mhzheng@tamu.edu Email: sarabehdad@ufl.edu 01 06 2024 01 11 2024 04 11 2024 14 11 2024 Artificial Intelligence Machine Learning for Engineering Applications National Science Foundation 10.13039/100000001...

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

Topics: Robots, Trajectories (Physics), Support vector machines, Artificial intelligence, Engineering systems and industry applications, Feature extraction, Human-robot collaboration, Machine learning, Manufacturing, Robot motion

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

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

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

... 2024 Email: vasvia@andrew.cmu.edu Email: kwl3@psu.edu 1 Corresponding author. Email: ccm@andrew.cmu.edu machine learning for engineering applications Kirton’s Adaption–Innovation theory large language models artificial intelligence in design prompt engineering generative AI...

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

Topics: Design, Innovation, Large language models

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

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 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

... dilemma cyclic constitutive law 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...

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

Topics: Optimization, Cantilever beams, Algorithms

Journal Articles

A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing

Atharv P. Deshmankar, Jagat Sesh Challa, Amit R. Singh, Srinivasa Prakash Regalla

Publisher: ASME

J. Comput. Inf. Sci. Eng. December 2024, 24(12): 120801.

Paper No: JCISE-24-1227

https://doi.org/10.1115/1.4066575

Published Online: October 14, 2024

...: amit.singh@pilani.bits-pilani.ac.in Email: regalla@hyderabad.bits-pilani.ac.in additive manufacturing machine learning mechanical properties microstructure artificial intelligence computational foundations for additive manufacturing data-driven engineering machine learning for engineering...

View Article titled, A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing

Topics: Additive manufacturing, Machine learning, Mechanical properties

Journal Articles

Unsupervised Anomaly Detection via Nonlinear Manifold Learning

Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani, Ramin Bostanabad

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111008.

Paper No: JCISE-23-1278

https://doi.org/10.1115/1.4063642

Published Online: August 6, 2024

... artificial intelligence data-driven engineering inverse methods for engineering applications machine learning for engineering applications 08 06 2023 28 09 2023 29 09 2023 06 08 2024 1 Corresponding author. Email: raminb@uci.edu Email: zzanjani@uci.edu Email...

View Article titled, Unsupervised Anomaly Detection via Nonlinear Manifold Learning

Topics: Manifolds, Errors

Journal Articles

Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen

Jan N. Fuhg, Nikolaos Bouklas, Reese E. Jones

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111007.

Paper No: JCISE-23-1423

https://doi.org/10.1115/1.4064650

Published Online: August 6, 2024

...-NA-0003525 data-driven engineering machine learning for engineering applications stress representations tensor basis neural networks Graphical Abstract Figure 21 08 2023 22 01 2024 22 01 2024 06 08 2024 This work is in part a work of the U.S...

View Article titled, Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen

Topics: Artificial neural networks, Stress, Tensors, Errors

Journal Articles

Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring

Siqi Zhang, Hui Yang, Zhuo Yang, Yan Lu

Publisher: ASME

J. Comput. Inf. Sci. Eng. October 2024, 24(10): 101002.

Paper No: JCISE-23-1574

https://doi.org/10.1115/1.4066026

Published Online: August 6, 2024

... Abstract Figure feature learning engineering knowledge process monitoring quality control additive manufacturing melt pool artificial intelligence data-driven engineering engineering informatics machine learning for engineering applications National Institute of Standards...

View Article titled, Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring

Topics: Additive manufacturing, Deep learning, Density, Dynamics (Mechanics), Manufacturing, Modeling, Spatiotemporal phenomena, Process monitoring, Lasers, Quality control

Journal Articles

Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning

Armaan Garg, Shashi Shekhar Jha

Publisher: ASME

J. Comput. Inf. Sci. Eng. October 2024, 24(10): 101003.

Paper No: JCISE-24-1070

https://doi.org/10.1115/1.4066025

Published Online: August 6, 2024

... 06 08 2024 Graphical Abstract Figure artificial intelligence machine learning for engineering applications Floods are one of the most critical and frequently occurring calamities across different parts of the world. In the decade spanning from 2010 to 2019, the global...

View Article titled, Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning

Topics: Algorithms, Floods, Path planning, Unmanned aerial vehicles, Vehicles, Deep reinforcement learning, Water, Navigation

Journal citation

NARROW

Supplemental Material

Manuscript

Integrating Graph Retrieval Augmented Generation with Large Language Models for Supplier Discovery

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

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

Large Language Models in Design and Manufacturing

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

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

Adaptive Thermal History Deidentification for Privacy-preserving Data Sharing of Directed Energy Deposition Processes

Evaluating Large Language Models for Material Selection

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

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

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

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

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

Epsilon-Greedy Thompson Sampling to Bayesian Optimization

A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing

Unsupervised Anomaly Detection via Nonlinear Manifold Learning

Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen

Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring

Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning

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