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Keywords: machine learning
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2024, 24(6): 060901.
Paper No: JCISE-23-1224
Published Online: February 5, 2024
... control. In this paper, a new machine learning framework is developed to predict the mechanical behavior of fabricated metamaterials based on their as-built geometries (represented as high-resolution point clouds). Specifically, the point cloud is first converted into an image profile, which preserves...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. January 2024, 24(1): 011010.
Paper No: JCISE-23-1088
Published Online: November 30, 2023
... that support the findings of this article are freely available. 3 Email: anar.nurizada@stonybrook.edu 1 Corresponding author. Email: anurag.purwar@stonybrook.edu 19 02 2023 01 11 2023 02 11 2023 30 11 2023 planar linkage mechanisms simulation machine learning...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. January 2024, 24(1): 011008.
Paper No: JCISE-23-1067
Published Online: October 27, 2023
... feature extraction and machine learning [ 1 ]. This approach demonstrated promising results. The procedure involved first calculating Fourier descriptors from a desired closed coupler curve, which were then fed into a neural network that was trained to map the descriptors to bar linkage parameters...
Journal Articles
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. December 2023, 23(6): 060816.
Paper No: JCISE-23-1117
Published Online: August 3, 2023
... machine learning deep learning manufacturing applications Labor shortage and high rate of labor churn are motivating companies to evaluate the feasibility of automation technologies in the manufacturing sector to maintain capacity and prevent delays. Migration to digital engineering and adoption...
Topics: Manufacturing
Journal Articles
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. December 2023, 23(6): 060811.
Paper No: JCISE-23-1055
Published Online: June 5, 2023
... on this topic is provided in Ref. [ 11 ] and in a special issue on Machine Learning in Engineering Design by the ASME Journal of Mechanical Design [ 12 ]. NNs have proven to be an interesting alternative in engineering design problems characterized by difficulty in formulating analytical representations...
Journal Articles
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. December 2023, 23(6): 060808.
Paper No: JCISE-23-1020
Published Online: May 25, 2023
.... Recently, machine learning (ML) has emerged as a promising solution that can either serve as a surrogate for, accelerate or augment traditional numerical methods. Pioneering work has demonstrated that ML provides solutions to governing systems of equations with comparable accuracy to those obtained using...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. August 2023, 23(4): 041005.
Paper No: JCISE-22-1187
Published Online: January 9, 2023
... polynomial-based features. These features are normalized and visualized using partial dependence plot (PDP) and individual conditional expectation (ICE). Subsequently, ten machine learning classifiers are trained using four features, and their statistical hypothesis test is performed using a 5 × 2 paired t...
Includes: Supplementary data
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031008.
Paper No: JCISE-22-1159
Published Online: December 9, 2022
...Dehao Liu; Pranav Pusarla; Yan Wang Data sparsity is still the main challenge to apply machine learning models to solve complex scientific and engineering problems. The root cause is the “curse of dimensionality” in training these models. Training algorithms need to explore and exploit in a very...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011012.
Paper No: JCISE-22-1123
Published Online: November 8, 2022
... 11 2022 machine learning artificial intelligence physics-based simulation uncertainty quantification physics-constrained neural network Bayesian neural network dual-dimer method machine learning for engineering applications Neural networks are effective tools to build surrogate...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011005.
Paper No: JCISE-22-1032
Published Online: August 5, 2022
... Machine Learning for Self-Aware Machining ,” 2020 AAAI Spring Symposium on AI and Manufacturing , Palo Alto, CA , Mar. 23–25 . [18] Altintaş , Y. , and Budak , E. , 1995 , “ Analytical Prediction of Stability Lobes in Milling ,” CIRP Ann. , 44 ( 1 ), pp. 357 – 362 . 10.1016/S0007...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031005.
Paper No: JCISE-21-1266
Published Online: December 10, 2021
... networks X-ray computed tomography (XCT) images machine learning artificial intelligence data-driven engineering machine learning for engineering applications National Institute of Standards and Technology 10.13039/100000161 70NANB19H097 With years of development, additive...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2021, 21(3): 031002.
Paper No: JCISE-20-1178
Published Online: February 11, 2021
... considered in the evaluation process to establish the information association between EEG and performance levels. Moreover, intelligent psycho-physiological analysis that incorporates EEG into the fuzzy comprehensive evaluation (FCE) and machine learning methods is adopted within the proposed method...
Journal Articles
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. August 2021, 21(4): 040801.
Paper No: JCISE-20-1181
Published Online: February 9, 2021
... in traditional machine learning to migrate existing knowledge to deal with learning problems in the target area where there is only a small quantity of tagged sample data set. There is a need to develop a taxonomy of different defect detection applications and characterize what kind of learning can...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2021, 21(2): 021005.
Paper No: JCISE-20-1061
Published Online: October 13, 2020
...Shrinath Deshpande; Anurag Purwar This paper brings together computer vision, mechanism synthesis, and machine learning to create an image-based variational path synthesis approach for linkage mechanisms. An image-based approach is particularly amenable to mechanism synthesis when the input from...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 034502.
Paper No: JCISE-19-1215
Published Online: April 17, 2020
...Bin He; Xuanren Zhu; Dong Zhang As an important branch of machine learning, Monte Carlo learning has been successfully applied to engineering design optimization and product predictive analysis, such as design optimization of heavy machinery. However, the accuracy of the classical Monte Carlo...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 034501.
Paper No: JCISE-19-1230
Published Online: March 12, 2020
...: yuqian.lu@auckland.ac.nz 07 08 2019 31 01 2020 03 02 2020 14 02 2020 natural language processing machine learning cloud manufacturing artificial intelligence knowledge engineering machine learning for engineering applications Cloud manufacturing has been regarded...
Journal Articles