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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

Ontology-guided Data Sharing and Federated Quality Control with Differential Privacy in Additive Manufacturing

Tsegai Yhdego, Hui Wang, Hongmei Chi, Zhibin Yu

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1108

https://doi.org/10.1115/1.4067086

Published Online: November 7, 2024

... Cybermanufacturing Engineering Informatics Industrial Internet of Things Machine Learning for Engineering Applications Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received February 25, 2024; Accepted manuscript posted October 26, 2024. doi:10.1115/1.4067086...

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

Topics: Additive manufacturing, Machine learning, Ontologies, Quality control, Leakage, Manufacturing, Algorithms, Computer security, Engineering systems and industry applications, Evolutionary algorithms

Journal Articles

LLM4CAD: Multi-Modal Large Language Models for Three-Dimensional Computer-Aided Design Generation

Xingang Li, Yuewan Sun, Zhenghui Sha

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1211

https://doi.org/10.1115/1.4067085

Published Online: November 7, 2024

... Interfaces/Interactions Machine Learning for Engineering Applications Journal of Computing and Information Science in Engineering. Received April 22, 2024; Accepted manuscript posted October 25, 2024. doi:10.1115/1.4067085 Copyright © 2024 by ASME LLM4CAD: Multi-Modal Large Language Models for Three...

View Article titled, LLM4CAD: Multi-Modal Large Language Models for Three-Dimensional Computer-Aided Design Generation

Topics: Computer-aided design, Large language models, Three-dimensional computer-aided design, Design, Gears, Springs, Artificial intelligence, Bridges (Structures), Computer programming, Engineering systems and industry applications

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

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

... applications inverse methods for engineering applications machine learning for engineering applications Consider the following minimization problem: (1) min x f ( x ) subject to x ∈ X where x ∈ R d is the vector of d input variables...

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

Topics: Optimization, Cantilever beams, Algorithms

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

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 Articles

Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation

Nicholas Wu, Brendan Whalen, Ji Ma, Prasanna V. Balachandran

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111001.

Paper No: JCISE-23-1151

https://doi.org/10.1115/1.4063727

Published Online: July 22, 2024

... 2023 06 10 2023 22 07 2024 computational foundations for additive manufacturing data-driven engineering engineering informatics machine learning for engineering applications process modeling for engineering applications Additive manufacturing (AM) technologies are a class...

View Article titled, Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation

Topics: Calibration, Lasers, Porosity, Uncertainty, Modeling, Geometry

Includes: Supplementary data

Journal Articles

A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage

Jake A. Janssen, Ghadir Haikal, Erin C. DeCarlo, Michael J. Hartnett, Matthew L. Kirby

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111002.

Paper No: JCISE-23-1295

https://doi.org/10.1115/1.4063863

Published Online: July 22, 2024

... machine learning for engineering applications physics-based simulations 22 06 2023 11 10 2023 12 10 2023 22 07 2024 1 Jake Janssen and Ghadir Haikal are co-first authors, as they contributed equally to this work. 2 Corresponding author. Email: matthew.kirby...

View Article titled, A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage

Topics: Boundary-value problems, Errors, Physics, Stress, Displacement, Finite element analysis, Damage, Geometry, Convolutional neural networks

Journal Articles

Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations

Mehdi Taghizadeh, Mohammad Amin Nabian, Negin Alemazkoor

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111003.

Paper No: JCISE-23-1369

https://doi.org/10.1115/1.4063986

Published Online: July 22, 2024

... such as stability, accuracy, and computational cost. artificial intelligence machine learning for engineering applications physics-based simulations 17 07 2023 26 10 2023 31 10 2023 22 07 2024 1 Corresponding author. Email: na7fp@virginia.edu Email: mnabian@nvidia.com...

View Article titled, Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations

Topics: Generative adversarial networks, Generators, Hafnium, Physics, Artificial neural networks, Partial differential equations, Errors

Journal citation

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Supplemental Material

Manuscript

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

Ontology-guided Data Sharing and Federated Quality Control with Differential Privacy in Additive Manufacturing

LLM4CAD: Multi-Modal Large Language Models for Three-Dimensional Computer-Aided Design Generation

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

Epsilon-Greedy Thompson Sampling to Bayesian Optimization

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

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

Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation

A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage

Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations

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