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1-20 of 28
Keywords: machine learning
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Journal Articles
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. December 2024, 24(12): 120801.
Paper No: JCISE-24-1227
Published Online: October 14, 2024
...Atharv P. Deshmankar; Jagat Sesh Challa; Amit R. Singh; Srinivasa Prakash Regalla This article provides an insightful review of the recent applications of machine learning (ML) techniques in additive manufacturing (AM) for the prediction and amelioration of mechanical properties, as well...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2024, 24(12): 121001.
Paper No: JCISE-23-1597
Published Online: September 9, 2024
..., prevents scalability, and limits research. The field of computer vision (CV) has made significant progress in the last decade with the help of advances in machine learning (ML) algorithms. CV has demonstrated a large variety of practical applications in many fields such as autonomous driving [ 1 , 2...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2024, 24(5): 051010.
Paper No: JCISE-23-1358
Published Online: April 1, 2024
... additive manufacturing knowledge knowledge transferability analysis knowledge transfer machine learning transfer learning McGill University 10.13039/100008582 00157 Mitacs 10.13039/501100004489 IT13369 National Research Council Canada 10.13039/501100000046 NRC INT-015-1...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061002.
Paper No: JCISE-23-1406
Published Online: March 5, 2024
... but detect spurious vortices (false positives and false negatives), making these methods less robust. To overcome this, we propose a new hybrid machine learning approach in which we use a convolutional neural network to detect vortex regions within surface streamline plots and an additional deep neural...
Journal Articles
Anindya Bhaduri, Nesar Ramachandra, Sandipp Krishnan Ravi, Lele Luan, Piyush Pandita, Prasanna Balaprakash, Mihai Anitescu, Changjie Sun, Liping Wang
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2024, 24(5): 051008.
Paper No: JCISE-23-1360
Published Online: March 5, 2024
.... We have developed in-house CNN architectures using the TensorFlow [ 65 ] package for implementing machine learning applications in python . These differ from publicly and commercially available available CAE and UNet architectures, since our implementation involves customized loss functions...
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
Salah A. Faroughi, Nikhil M. Pawar, Célio Fernandes, Maziar Raissi, Subasish Das, Nima K. Kalantari, Seyed Kourosh Mahjour
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. April 2024, 24(4): 040802.
Paper No: JCISE-23-1207
Published Online: January 29, 2024
...Salah A. Faroughi; Nikhil M. Pawar; Célio Fernandes; Maziar Raissi; Subasish Das; Nima K. Kalantari; Seyed Kourosh Mahjour Advancements in computing power have recently made it possible to utilize machine learning and deep learning to push scientific computing forward in a range of disciplines...
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
... the desired outcomes. Our experimental results show the effectiveness of this approach, and it holds potential for further enhancements in machine learning research, while still leveraging the extensive knowledge available in the field of kinematics. Looking ahead, future research directions may involve...
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
.... 021005 . 10.1115/1.4048422 [30] Deshpande , S. , and Purwar , A. , 2019 , “ A Machine Learning Approach to Kinematic Synthesis of Defect-Free Planar Four-Bar Linkages ,” ASME J. Comput. Inf. Sci. Eng. , 19 ( 2 ), p. 021004 . 10.1115/1.4042325 [31] Deshpande , S...
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
... in mechanism design problems where the use of GANs have been explored. Physics-informed machine learning (PIML) approaches try to generate solutions for complex multi-scale systems by combining observational data with the mathematical models underpinning the physics of the system [ 51 , 52 ]. This field...
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...
Topics:
Entropy,
Hydraulic pumps,
Leakage,
Machine learning,
Signals,
Optimization,
Algorithms,
Composite materials
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
... Corresponding author. Email: yan.wang@me.gatech.edu 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 . 01 04 2022 01 10 2022 03 10 2022 08 11 2022 machine learning...
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
... of International Science and Engineering 10.13039/100000089 2119334 uncertainty quantification robust optimal design stochastic kriging Gaussian process conditional value-at-risk computational foundations for engineering optimization data-driven engineering machine learning 20 01 2022...
Journal Articles
Publisher: ASME
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
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
...-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
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
Prahar M. Bhatt, Rishi K. Malhan, Pradeep Rajendran, Brual C. Shah, Shantanu Thakar, Yeo Jung Yoon, Satyandra K. Gupta
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
... 2020 16 12 2020 17 12 2020 09 02 2021 deep learning inspection defect detection image processing machine learning computer-aided manufacturing automation artificial intelligence Detecting defects is a critical capability in manufacturing applications. Ensuring...
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