1-13 of 13
Keywords: machine learning
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011005.
Paper No: JCISE-22-1032
Published Online: August 5, 2022
...-at-risk computational foundations for engineering optimization data-driven engineering machine learning References [1] McLain , S. , 2021 , “ Auto Makers Retreat From 50 Years of ‘Just in Time’ Manufacturing ,” Wall Str. J. Accessed 21 December, 2021. [Online]. Available...
Journal Articles
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031008.
Paper No: JCISE-21-1252
Published Online: December 16, 2021
... through machine learning. First, this study voxelized 3D models of the LS units and then calculated the entropy vector of each model as the geometric feature of the LS units. Next, the porosity, material density, elastic modulus, and unit length of the lattice unit are combined with entropy as the inputs...
Journal Articles
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031005.
Paper No: JCISE-21-1266
Published Online: December 10, 2021
...-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 manufacturing...
Journal Articles
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
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. August 2021, 21(4): 040801.
Paper No: JCISE-20-1181
Published Online: February 9, 2021
... learning is a learning method that uses existing knowledge to solve problems in different but related fields. It relaxes two basic assumptions 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...
Journal Articles
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
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2020, 20(6): 061015.
Paper No: JCISE-20-1006
Published Online: July 9, 2020
... (FDM). The predictive model of flexural strength is trained using machine learning and validated on experimental data. The relationship between three structural design factors, including the number of fiber layers, the number of fiber rings as well as polymer infill patterns, and the flexural strength...
Journal Articles
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
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 034501.
Paper No: JCISE-19-1230
Published Online: March 12, 2020
... 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 as a disruptive manufacturing...
Journal Articles
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031002.
Paper No: JCISE-19-1178
Published Online: February 19, 2020
... network machine learning artificial intelligence computational geometry computer-aided manufacturing engineering informatics machine learning for engineering applications multiscale modeling and simulation Micro and nano manufacturing technologies are widely recognized as promising...
Journal Articles
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2020, 20(2): 021010.
Paper No: JCISE-19-1222
Published Online: January 3, 2020
... images using first-order and second-order statistical methods, and measured 3D surface roughness parameters are used for characterizing the SLM surfaces. A comparative study of roughness prediction models developed using various machine learning approaches is also presented. Among the models...
Journal Articles
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. April 2020, 20(2): 021002.
Paper No: JCISE-19-1204
Published Online: December 11, 2019
.... 785 – 794 . [15] Probst , P. , Bischl , B. , and Boulesteix , A.-L. , 2019 , “ Tunability: Importance of Hyperparameters of Machine Learning Algorithms ,” J. Mach. Learn. Res. , 20 ( 53 ), pp. 1 – 32 . [16] International , A. , 2015 , ASTM D638-14, Standard Test...
Journal Articles
Article Type: Research-Article
J. Comput. Inf. Sci. Eng. June 2019, 19(2): 021004.
Paper No: JCISE-18-1078
Published Online: February 4, 2019
... constraints of formulating the problem as a discrete precision position problem and limitations of the methods, which ignore the continuity information in the input. In this paper, we bring together diverse fields of pattern recognition, machine learning, artificial neural network, and computational...