1-20 of 65
Machine learning
Close
Save search
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

Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems

Accepted Manuscript
John Michopoulos, Anindya Bhaduri, Francisco Chinesta, Elias Cueto, Dehao Liu, Sandipp Krishnan Ravi, Jian-Xun Wang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1524
https://doi.org/10.1115/1.4066791
Published Online: October 4, 2024
View Article titled, Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems
Open the PDF for Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems in another window
Topics: Machine learning, Manufacturing, Artificial intelligence, Computer-aided engineering, Computer-aided manufacturing, Engineering systems and industry applications
Journal Articles

A Conceptual Design Method based on C-K Theory and Large Language Models

Accepted Manuscript
Liuqing Chen, Duowei Xia, Zhaojun Jiang, Xinyang Tan, Lingyun Sun, Lin Zhang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1283
https://doi.org/10.1115/1.4066773
Published Online: October 3, 2024
View Article titled, A Conceptual Design Method based on C-K Theory and Large Language Models
Open the PDF for A Conceptual Design Method based on C-K Theory and Large Language Models in another window
Topics: Conceptual design, Large language models, Design, Engineering systems and industry applications, Machine learning, Space, Wearable devices
Journal Articles

Evaluating Large Language Models for Material Selection

Accepted Manuscript
Daniele Grandi, Yash Patawari Jain, Allin Groom, Brandon Cramer, Christopher McComb
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1207
https://doi.org/10.1115/1.4066730
Published Online: September 30, 2024
View Article titled, Evaluating Large Language Models for Material Selection
Open the PDF for Evaluating Large Language Models for Material Selection in another window
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

Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing

Accepted Manuscript
Vishal G. Salunkhe, S.M. Khot, Prashant S. Jadhav, Nitesh Yelve, Mahadev B. Kumbhar
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-23-1573
https://doi.org/10.1115/1.4066595
Published Online: September 19, 2024
View Article titled, Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing
Open the PDF for Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing in another window
Topics: Bearings, Condition monitoring, Convolutional neural networks, Rollers, Machinery, Failure, Independent component analysis, Noise (Sound), Vibration, Computer simulation
Journal Articles

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

Accepted Manuscript
Atharv Deshmankar, Jagat Sesh Challa, Amit Singh, Srinivasa Prakash Regalla
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1227
https://doi.org/10.1115/1.4066575
Published Online: September 18, 2024
View Article titled, A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing
Open the PDF for A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing in another window
Topics: Additive manufacturing, Machine learning, Mechanical properties
Journal Articles

Reconstruction and Generation of Porous Metamaterial Units via Variational Graph Autoencoder and Large Language Model

Accepted Manuscript
Kiarash Naghavi Khanghah, Zihan Wang, Hongyi Xu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1176
https://doi.org/10.1115/1.4066095
Published Online: July 31, 2024
View Article titled, Reconstruction and Generation of Porous Metamaterial Units via Variational Graph Autoencoder and Large Language Model
Open the PDF for Reconstruction and Generation of Porous Metamaterial Units via Variational Graph Autoencoder and Large Language Model in another window
Topics: Large language models, Metamaterials, Design, Artificial intelligence, Computer-aided design, Databases, Engineering systems and industry applications, Machine learning, Shape optimization, Topology
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
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
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
View Article titled, Machine-Learning Metacomputing for Materials Science Data
Open the PDF for Machine-Learning Metacomputing for Materials Science Data in another window
Topics: Electron backscatter diffraction, Machine learning, Materials science, Noise (Sound), Modeling, Errors, Maintenance, Simulation
Journal Articles

An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

Ricardo Ortiz, Piedad Miranda-Chiquito, Angel Encalada-Davila, Luis E. Marquez, Christian Tutiven, Eleni Chatzi, Christian E. Silva
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. September 2024, 24(9): 091002.
Paper No: JCISE-24-1035
https://doi.org/10.1115/1.4065777
Published Online: July 5, 2024
View Article titled, An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning
Open the PDF for An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning in another window
Topics: Bearings, Modeling, Algorithms, Simulation, Signals, Machine learning, Machinery
Journal Articles

ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements from the Tree Structure of System Requirement Specifications

Accepted Manuscript
Chandan Kumar Sahu, Rahul Rai, Margaret Wiecek, David Gorsich
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng.
Paper No: JCISE-24-1069
https://doi.org/10.1115/1.4065786
Published Online: June 24, 2024
View Article titled, ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements from the Tree Structure of System Requirement Specifications
Open the PDF for ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements from the Tree Structure of System Requirement Specifications in another window
Topics: Semantics, Tree (Data structure), Algorithms, Cyber-physical systems, Design, Machine learning, Natural language processing, Systems engineering
Journal Articles

Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM

Yindong Shen, Yaru Ge
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090903.
Paper No: JCISE-23-1316
https://doi.org/10.1115/1.4064666
Published Online: June 7, 2024
View Article titled, Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM
Open the PDF for Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM in another window
Topics: Batteries, Lead-acid batteries, Machine learning, Errors, Temperature
Journal Articles

Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition

Mutahar Safdar, Jiarui Xie, Hyunwoong Ko, Yan Lu, Guy Lamouche, Yaoyao Fiona Zhao
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2024, 24(5): 051010.
Paper No: JCISE-23-1358
https://doi.org/10.1115/1.4065090
Published Online: April 1, 2024
View Article titled, Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition
Open the PDF for Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition in another window
Topics: Additive manufacturing, Knowledge transfer, Machine learning, Lasers, Metals
Journal Articles

Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts

J. C. Steuben, A. B. Geltmacher, S. N. Rodriguez, B. D. Graber, A. P. Iliopoulos, J. G. Michopoulos
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. May 2024, 24(5): 051009.
Paper No: JCISE-23-1355
https://doi.org/10.1115/1.4064986
Published Online: March 27, 2024
View Article titled, Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts
Open the PDF for Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts in another window
Topics: Machine learning, Simulation, Modeling, X-rays
Journal Articles

A Hybrid Computer Vision and Machine Learning Approach for Robust Vortex Core Detection in Fluid Mechanics Applications

Hazem Ashor Amran Abolholl, Tom-Robin Teschner, Irene Moulitsas
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061002.
Paper No: JCISE-23-1406
https://doi.org/10.1115/1.4064478
Published Online: March 5, 2024
View Article titled, A Hybrid Computer Vision and Machine Learning Approach for Robust Vortex Core Detection in Fluid Mechanics Applications
Open the PDF for A Hybrid Computer Vision and Machine Learning Approach for Robust Vortex Core Detection in Fluid Mechanics Applications in another window
Topics: Algorithms, Computers, Machine learning, Vortices, Flow (Dynamics), Artificial neural networks
Journal Articles

Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning

Zehao Ye, Xin Liu, Bo Peng, Chen Kan
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2024, 24(6): 060901.
Paper No: JCISE-23-1224
https://doi.org/10.1115/1.4064147
Published Online: February 5, 2024
View Article titled, Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning
Open the PDF for Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning in another window
Topics: Additive manufacturing, Deflection, Heat, Mechanical behavior, Metamaterials, Stress, Quality control, Geometry, Machine learning, Modeling
Journal Articles

Deep Learning in Computational Design Synthesis: A Comprehensive Review

Shubhendu Kumar Singh, Rahul Rai, Raj Pradip Khawale, Darshil Patel, Dustin Bielecki, Ryan Nguyen, Jun Wang, Zhibo Zhang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. April 2024, 24(4): 040801.
Paper No: JCISE-23-1408
https://doi.org/10.1115/1.4064215
Published Online: January 8, 2024
View Article titled, Deep Learning in Computational Design Synthesis: A Comprehensive Review
Open the PDF for Deep Learning in Computational Design Synthesis: A Comprehensive Review in another window
Topics: Artificial neural networks, Design, Machine learning, Dimensions
Journal Articles

GLHAD: A Group Lasso-Based Hybrid Attack Detection and Localization Framework for Multistage Manufacturing Systems

Ahmad Kokhahi, Dan Li
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. July 2024, 24(7): 071006.
Paper No: JCISE-23-1264
https://doi.org/10.1115/1.4063862
Published Online: December 15, 2023
View Article titled, GLHAD: A Group Lasso-Based Hybrid Attack Detection and Localization Framework for Multistage Manufacturing Systems
Open the PDF for GLHAD: A Group Lasso-Based Hybrid Attack Detection and Localization Framework for Multistage Manufacturing Systems in another window
Topics: Algorithms, Control equipment, Cyber-attacks, Delays, Manufacturing, Manufacturing systems, Sensors, Theoretical analysis, State estimation, Machine learning
Journal Articles

Special Issue: Machine Learning and Representation Issues in CAD/CAM

Anurag Purwar, Kaushalkumar A. Desai, Stephen Canfield, Rahul Rai, Zhenguo Nie
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Guest Editorial
J. Comput. Inf. Sci. Eng. January 2024, 24(1): 010301.
Paper No: JCISE-23-1502
https://doi.org/10.1115/1.4064059
Published Online: December 7, 2023
View Article titled, Special Issue: Machine Learning and Representation Issues in CAD/CAM
Open the PDF for Special Issue: Machine Learning and Representation Issues in CAD/CAM in another window
Topics: Computer-aided design, Machine learning, Manufacturing, Design, Artificial neural networks
Journal Articles

Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions

Binyang Song, Rui Zhou, Faez Ahmed
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. January 2024, 24(1): 010801.
Paper No: JCISE-23-1068
https://doi.org/10.1115/1.4063954
Published Online: November 24, 2023
View Article titled, Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions
Open the PDF for Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions in another window
Topics: Design, Engineering design, Machine learning, Shapes, Semantics
Journal Articles

“I Can See Your Password”: A Case Study About Cybersecurity Risks in Mid-Air Interactions of Mixed Reality-Based Smart Manufacturing Applications

Wenhao Yang, Xiwen Dengxiong, Xueting Wang, Yidan Hu, Yunbo Zhang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. March 2024, 24(3): 031004.
Paper No: JCISE-23-1093
https://doi.org/10.1115/1.4062658
Published Online: October 10, 2023
View Article titled, “I Can See Your Password”: A Case Study About Cybersecurity Risks in Mid-Air Interactions of Mixed Reality-Based Smart Manufacturing Applications
Open the PDF for “I Can See Your Password”: A Case Study About Cybersecurity Risks in Mid-Air Interactions of Mixed Reality-Based Smart Manufacturing Applications in another window
Topics: Augmented reality, Computer security, Manufacturing, Machinery, Machine learning, User interfaces, Algorithms, Security, Risk, Design
Journal Articles

Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling

Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. December 2023, 23(6): 060808.
Paper No: JCISE-23-1020
https://doi.org/10.1115/1.4062495
Published Online: May 25, 2023
View Article titled, Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling
Open the PDF for Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling in another window
Topics: Computer simulation, Machine learning, Modeling, Multiscale modeling