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1-20 of 20
Keywords: Inverse Methods for Engineering Applications
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2024, 24(12): 121006.
Paper No: JCISE-24-1239
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...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111008.
Paper No: JCISE-23-1278
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...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111004.
Paper No: JCISE-23-1469
Published Online: July 22, 2024
... methods for engineering applications Hong Kong University of Science and Technology 10.13039/501100005950 R9831 Heat conduction is one of the common heat transfer modes by transferring thermal energy within or between media in contact. With all known thermal properties and boundary...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061006.
Paper No: JCISE-24-1025
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...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2024, 24(5): 051004.
Paper No: JCISE-23-1344
Published Online: January 29, 2024
... ; chonghui.zhang@mail.mcgill.ca Email: lijun.sun@mcgill.ca 1 Corresponding author. Email: yaoyao.zhao@mcgill.ca 11 07 2023 19 12 2023 29 12 2023 29 01 2024 computer-aided design data-driven engineering engineering informatics inverse methods for engineering applications...
Journal Articles
Shubhendu Kumar Singh, Rahul Rai, Raj Pradip Khawale, Darshil Patel, Dustin Bielecki, Ryan Nguyen, Jun Wang, Zhibo Zhang
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. April 2024, 24(4): 040801.
Paper No: JCISE-23-1408
Published Online: January 8, 2024
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2023, 23(5): 051006.
Paper No: JCISE-22-1204
Published Online: March 29, 2023
... projection data-driven engineering inverse methods for engineering applications physics-based simulations The multibody dynamics model is constructed by SIMPACK environment, which is made up of two wheelsets, four axel boxes, one bogie frame, and a railway track. The normal force, creepage...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031011.
Paper No: JCISE-22-1201
Published Online: December 12, 2022
... engineering informatics inverse methods for engineering applications machine learning for engineering applications 16 06 2022 30 08 2022 31 08 2022 12 12 2022 Contributed by the Computers and Information Division of ASME for publication in the J ournal of C omputing and I...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011009.
Paper No: JCISE-22-1149
Published Online: September 27, 2022
... 04 2022 01 09 2022 02 09 2022 27 09 2022 data-driven engineering inverse methods for engineering applications machine learning for engineering applications physics-based simulations qualification, verification and validation of computational models Once...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011006.
Paper No: JCISE-22-1121
Published Online: September 15, 2022
... in model calibration [ 1 – 3 ]. information fusion Bayesian statistics model calibration uncertainty quantification Bayesian network artificial intelligence big data and analytics data-driven engineering inverse methods for engineering applications machine learning for engineering...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031006.
Paper No: JCISE-22-1055
Published Online: September 1, 2022
... aerodynamic simulations with large number of mesh points become very inefficient due to slow turnaround times [ 3 ]. inverse methods for engineering applications machine learning for engineering applications 09 02 2022 22 05 2022 23 05 2022 01 09 2022 Contributed...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011004.
Paper No: JCISE-22-1045
Published Online: July 18, 2022
... cience in E ngineering . 29 01 2022 11 05 2022 11 05 2022 18 07 2022 artificial intelligence data-driven engineering inverse methods for engineering applications physics-based simulations National Science Foundation 10.13039/100000001 CMMI-1454601...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2023, 23(2): 021006.
Paper No: JCISE-21-1340
Published Online: June 3, 2022
... detection nonlinear regression inverse problem Newton’s law of cooling Michaelis–Menten model Lineweaver–Burk plot big data and analytics computational foundations for engineering optimization data-driven engineering inverse methods for engineering applications machine learning for engineering...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011002.
Paper No: JCISE-21-1393
Published Online: May 20, 2022
... the observed response. IP is used in a variety of fields, including, but not limited to, forensic science [ 1 ], nuclear forensics [ 2 , 3 ], computer modeling [ 4 , 5 ], chemometrics [ 6 ], nutrition tracking [ 7 ], and geosciences [ 8 , 9 ]. artificial intelligence inverse methods for engineering...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. August 2022, 22(4): 041012.
Paper No: JCISE-21-1348
Published Online: March 10, 2022
... Email: sbalaji@iitm.ac.in Contributed by the Computers and Information Division of ASME for publication in the J ournal of C omputing and I nformation S cience in E ngineering . 12 10 2021 31 01 2022 31 01 2022 10 03 2022 inverse methods for engineering...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031001.
Paper No: JCISE-21-1268
Published Online: December 10, 2021
...-driven engineering uncertainty quantification inverse methods for engineering applications machine learning for engineering applications 30 07 2021 04 11 2021 05 11 2021 10 12 2021 Contributed by the Computers and Information Division of ASME for publication in the J...
Topics:
Artificial neural networks,
Modeling,
Struts (Engineering),
Uncertainty,
Additive manufacturing,
Microscopes
Includes: Supplementary data
Journal Articles
John C. Steuben, John G. Michopoulos, Athanasios P. Iliopoulos, Benjamin D. Graber, Andrew J. Birnbaum
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. October 2021, 21(5): 050901.
Paper No: JCISE-20-1256
Published Online: May 10, 2021
... computational metrology inverse methods for engineering applications machine learning for engineering applications multiscale modeling and simulation physics-based simulations With only a few extraordinarily well-controlled exceptions, all materials contain defects [ 1 ]. Here, the term “defect...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031009.
Paper No: JCISE-20-1239
Published Online: March 25, 2021
... digital twin compressed sensing physics-based compressive sensing PDE constrained optimization computational foundations for additive manufacturing inverse methods for engineering applications process modeling for engineering applications Digital twins (DTs) are the digital replicas...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2021, 21(2): 021011.
Paper No: JCISE-20-1045
Published Online: December 10, 2020
... least squares curve fitting initial guess Michaelis–Menten model Fickian diffusion data-driven engineering engineering informatics inverse methods for engineering applications model-based systems engineering multidisciplinary optimization Fitting a specified model to data, also called...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031007.
Paper No: JCISE-19-1272
Published Online: April 23, 2020
.... computational foundations for engineering optimization inverse methods for engineering applications inverse methods for engineering applications multi-disciplinary optimization 26 09 2019 07 03 2020 09 03 2020 18 03 2020 The United States Government retains, and by accepting...