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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.

Paper No: JCISE-24-1059

https://doi.org/10.1115/1.4066855

Published Online: October 14, 2024

... double-walled hollow turbine blades. 30 01 2024 23 09 2024 03 10 2024 14 10 2024 Email: ywdong@mit.edu Email: 1424802959@qq.com Email: 2993354664@qq.com Email: tanzhiyong2024@163.com 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

Journal Articles

Towards accelerating discovery via physics-driven and interactive multi-fidelity Bayesian Optimization

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

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1186

https://doi.org/10.1115/1.4066856

Published Online: October 14, 2024

.... 10 04 2024 06 09 2024 12 09 2024 14 10 2024 Email: arpanbiswas52@gmail.com Email: svalleti@vols.utk.edu Email: vasudevanrk@ornl.gov Email: maxim.ziatdinov@pnnl.gov Email: sergei2@utk.edu Artificial Intelligence Data-Driven engineering Human Computer...

View Article titled, Towards accelerating discovery via physics-driven and interactive multi-fidelity Bayesian Optimization

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 Jamwal

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1349

https://doi.org/10.1115/1.4066859

Published Online: October 14, 2024

...-Driven engineering Machine Learning for Engineering Applications Model-based Systems Engineering Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received July 14, 2024; Accepted manuscript posted October 03, 2024. doi:10.1115/1.4066859 Copyright © 2024...

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

Journal Articles

A Real-time Associative Feature-based CRM and ERP Integration Model for SMEs

Yiding Sun, Xinming Li, Yongsheng Ma

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-22-1376

https://doi.org/10.1115/1.4066802

Published Online: October 9, 2024

...-oriented software engineering foundation. 08 12 2022 29 09 2024 03 10 2024 09 10 2024 Email: yiding1@ualberta.ca Email: xinming1@ualberta.ca Email: mays@sustech.edu.cn Data-Driven engineering Engineering Informatics Information Management Manufacturing Planning...

View Article titled, A Real-time Associative Feature-based CRM and ERP Integration Model for SMEs

Topics: Complex systems, Data fusion, Databases, Lumber, Modeling, Production planning, Software engineering, Systems engineering

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.

Paper No: JCISE-24-1207

https://doi.org/10.1115/1.4066730

Published Online: September 30, 2024

...: brandon.stewart.cramer@autodesk.com Email: ccm@cmu.edu Artificial Intelligence Data-Driven engineering Machine Learning for Engineering Applications Journal of Computing and Information Science in Engineering. Received April 19, 2024; Accepted manuscript posted September 19, 2024. doi:10.1115/1.4066730...

View Article titled, Evaluating Large Language Models for Material Selection

Topics: Large language models, Design, Artificial intelligence, Conceptual design, Decision making, Engineering systems and industry applications, Failure mechanisms, Machine learning, Preferences, Product design

Journal Articles

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

Atharv Deshmankar, Jagat Sesh Challa, Amit Singh, Srinivasa Prakash Regalla

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1227

https://doi.org/10.1115/1.4066575

Published Online: September 18, 2024

... Foundations for Additive Manufacturing Data-Driven engineering Machine Learning for Engineering Applications Accepted Manuscript Not Copyedited Journal of Computing and Information Science in Engineering. Received April 25, 2024; Accepted manuscript posted September 01, 2024. doi:10.1115/1.4066575...

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

Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies

Taiwo A. Adebiyi, Nafeezat A. Ajenifuja, Ruda Zhang

Publisher: ASME

J. Comput. Inf. Sci. Eng. October 2024, 24(10): 100801.

Paper No: JCISE-24-1117

https://doi.org/10.1115/1.4066181

Published Online: September 3, 2024

View Article titled, Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies

Topics: Building information modeling, Civil engineering, Construction, Digital twin, Structural health monitoring, Design, Simulation, Internet of things, Modeling, Computer vision

Journal Articles

Network Analysis of Two-Stage Customer Decisions with Preference-Guided Market Segmentation

Yaxin Cui, Zhuoxin Sun, Yinshuang Xiao, Zhenghui Sha, Johan Koskinen, Noshir Contractor, Wei Chen

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-24-1040

https://doi.org/10.1115/1.4066420

Published Online: September 2, 2024

...: zsha@austin.utexas.edu Email: johan.koskinen@stat.su.se Email: nosh@northwestern.edu Email: weichen@northwestern.edu Data-Driven engineering Model-based Systems Engineering Journal of Computing and Information Science in Engineering. Received January 23, 2024; Accepted manuscript...

View Article titled, Network Analysis of Two-Stage Customer Decisions with Preference-Guided Market Segmentation

Topics: Image segmentation, Network analysis, Preferences, Decision making, Modeling, Product design, Design, Systems engineering, Vacuum

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

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

Machine-Learning Metacomputing for Materials Science Data

J. C. Steuben, A. B. Geltmacher, S. N. Rodriguez, A. J. Birnbaum, B. D. Graber, A. K. Rawlings, A. P. Iliopoulos, J. G. Michopoulos

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111005.

Paper No: JCISE-23-1439

https://doi.org/10.1115/1.4064975

Published Online: July 22, 2024

... protection in the United States. Approved for public release; distribution is unlimited. 30 08 2023 05 02 2024 06 02 2024 22 07 2024 Graphical Abstract Figure artificial intelligence data-driven engineering machine-learning for engineering applications...

View Article titled, Machine-Learning Metacomputing for Materials Science Data

Topics: Electron backscatter diffraction, Machine learning, Materials science, Noise (Sound), Modeling, Errors, Maintenance, Simulation

Journal Articles

Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps

Sean Rescsanski, Vihaan Shah, Jiong Tang, Farhad Imani

Publisher: ASME

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111006.

Paper No: JCISE-23-1386

https://doi.org/10.1115/1.4065525

Published Online: July 22, 2024

... 30 07 2023 09 05 2024 09 05 2024 22 07 2024 Graphical Abstract Figure additive manufacturing cooperative robotics process planning in situ sensing quality characterization computational foundations for additive manufacturing data-driven engineering...

View Article titled, Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps

Topics: Additive manufacturing, Flaw detection, Manufacturing, Random-access memory, Robotics, Simulation, Robots

Journal Articles

Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder

Jatin Prakash, Ankur Miglani, P. K. Kankar

Publisher: ASME

J. Comput. Inf. Sci. Eng. August 2024, 24(8): 084504.

Paper No: JCISE-23-1555

https://doi.org/10.1115/1.4065526

Published Online: June 7, 2024

... monitoring two-stage cylinders artificial intelligence data-driven engineering machine learning for engineering applications References [1] “Advantages of Using a Hydraulic System,” https://www.yukeneurope.com/advantages-of-using-a-hydraulic-system/ , Accessed September 6, 2021. [2...

View Article titled, Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder

Topics: Cylinders, Hydraulic cylinders, Leakage, Pressure, Support vector machines, Signals

Journal Articles

Federated Learning on Distributed and Encrypted Data for Smart Manufacturing

Timothy Kuo, Hui Yang

Publisher: ASME

J. Comput. Inf. Sci. Eng. July 2024, 24(7): 071007.

Paper No: JCISE-24-1028

https://doi.org/10.1115/1.4065571

Published Online: May 31, 2024

... privacy fully homomorphic encryption federated learning sustainable manufacturing cyber physical security for factories cybermanufacturing data-driven engineering engineering informatics Graphical Abstract Figure 19 01 2024 16 05 2024 16 05 2024 31 05 2024...

View Article titled, Federated Learning on Distributed and Encrypted Data for Smart Manufacturing

Topics: Data privacy, Encryption, Manufacturing, Computation

Journal Articles

A Network Interference Approach to Analyzing Change Propagation in Requirements

Phyo Htet Hein, Elisabeth Kames, Cheng Chen, Beshoy Morkos

Publisher: ASME

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061004.

Paper No: JCISE-23-1438

https://doi.org/10.1115/1.4065273

Published Online: May 9, 2024

... requirement change management requirements engineering engineering changes complex network network interference data-driven engineering engineering informatics information management Requirements are crucial for defining system constraints to meet stakeholder needs [ 1 , 2 ]. Initially...

View Article titled, A Network Interference Approach to Analyzing Change Propagation in Requirements

Topics: Design, Flow (Dynamics), Modeling, Change management, Eigenvalues

Journal Articles

Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset

Evangéline Capiez-Lernout, Olivier Ezvan, Christian Soize

Publisher: ASME

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061006.

Paper No: JCISE-24-1025

https://doi.org/10.1115/1.4065312

Published Online: May 9, 2024

... probabilistic learning uncertainty quantification nonlinear stochastic dynamics surrogate model partial information statistical inverse problem nozzle machine learning for engineering applications data-driven engineering inverse methods for engineering applications physics-based simulations...

View Article titled, Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset

Topics: Computer simulation, Nozzles, Dynamics (Mechanics), Probability, Stress

Journal Articles

An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults

Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel

Publisher: ASME

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061003.

Paper No: JCISE-23-1426

https://doi.org/10.1115/1.4065212

Published Online: April 23, 2024

.... National Aeronautics and Space Administration 10.13039/100000104 80NSSC19K1052 artificial intelligence data-driven engineering engineering informatics machine learning for engineering applications Graphical Abstract Figure 22 08 2023 27 02 2024 29 02 2024 23...

View Article titled, An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults

Topics: Dynamic time warping, Motors, Probability, Quality control charts, Signals, Sensors, Failure, Modeling, Vehicles, Engines

Journal Articles

Automatically Discovering Mechanical Functions From Physical Behaviors via Clustering

Kevin N. Chiu, Mark D. Fuge

Publisher: ASME

J. Comput. Inf. Sci. Eng. August 2024, 24(8): 081002.

Paper No: JCISE-23-1348

https://doi.org/10.1115/1.4065017

Published Online: April 16, 2024

... 2024 16 04 2024 Graphical Abstract Figure data-driven engineering machine learning for engineering applications Defense Advanced Research Projects Agency 10.13039/100000185 HR0011-18-9-0009 National Science Foundation 10.13039/100000001 1943699 One...

View Article titled, Automatically Discovering Mechanical Functions From Physical Behaviors via Clustering

Topics: Algorithms, Flow (Dynamics), Fluidic devices, Gates (Closures), Resolution (Optics), Simulation, Fluids, Design, Engineering simulation

Includes: Supplementary data

Journal citation

NARROW

Supplemental Material

Manuscript

Early quality prediction of complex double-walled hollow turbine blades based on improved whale optimization algorithm

Towards accelerating discovery via physics-driven and interactive multi-fidelity Bayesian Optimization

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

A Real-time Associative Feature-based CRM and ERP Integration Model for SMEs

Evaluating Large Language Models for Material Selection

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

Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies

Network Analysis of Two-Stage Customer Decisions with Preference-Guided Market Segmentation

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

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

Machine-Learning Metacomputing for Materials Science Data

Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps

Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder

Federated Learning on Distributed and Encrypted Data for Smart Manufacturing

A Network Interference Approach to Analyzing Change Propagation in Requirements

Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset

An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults

Automatically Discovering Mechanical Functions From Physical Behaviors via Clustering

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