Page 1 | Search Results | J. Comput. Inf. Sci. Eng.

1-20 of 50

Sort by

Sort Order Select

Journal Articles

Challenges and Opportunities in Computing Research to Enable Next Generation Engineering Applications

Janet K. Allen, Ehsan T Esfahani, Satyandra K. Gupta, Balan Gurumoorthy, Bin He, Ying Liu, John Michopoulos, Jitesh H. Panchal, Anurag Purwar, Kristina Wärmefjord

Publisher: ASME

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-23-1453

https://doi.org/10.1115/1.4063437

Published Online: September 14, 2023

View Article titled, Challenges and Opportunities in Computing Research to Enable Next Generation Engineering Applications

Topics: Artificial intelligence, Engineering systems and industry applications, Machine learning, Autonomous vehicles, Carbon neutrality, Cloud computing, Computer-aided design, Computer-aided manufacturing, Cycles, Green design

Journal Articles

Self-Supervised Learning of Spatially Varying Process Parameter Models for Robotic Finishing Tasks

Yeo Jung Yoon, Santosh Narayan, Satyandra K. Gupta

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-23-1201

https://doi.org/10.1115/1.4063276

Published Online: August 29, 2023

View Article titled, Self-Supervised Learning of Spatially Varying Process Parameter Models for Robotic Finishing Tasks

Topics: Finishing, Robotics, Robots, Damage, Engineering simulation, Engineering systems and industry applications, Machine learning, Metamodeling, Safety, Simulation

Journal Articles

HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in CAD

Shijie Bian, Daniele Grandi, Tianyang Liu, Pradeep K. Jayaraman, Karl Willis, Elliot T. Salder, Bodia Borijin, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-22-1394

https://doi.org/10.1115/1.4063226

Published Online: August 23, 2023

View Article titled, HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in CAD

Topics: Computer-aided design, Design, Machine learning, Manufacturing

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

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-23-1093

https://doi.org/10.1115/1.4062658

Published Online: June 1, 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

Topics: Augmented reality, Computer security, Machine learning, Manufacturing, User interfaces, Engineering systems and industry applications, Machinery, Risk, Security

Journal Articles

Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling

Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek

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

Topics: Computer simulation, Machine learning, Modeling, Multiscale modeling

Journal Articles

Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models

Nagendra Singh Ranawat, Jatin Prakash, Ankur Miglani, Pavan Kumar Kankar

J. Comput. Inf. Sci. Eng. October 2023, 23(5): 051015.

Paper No: JCISE-22-1372

https://doi.org/10.1115/1.4062425

Published Online: May 9, 2023

View Article titled, Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models

Topics: Artificial neural networks, Centrifugal pumps, Pressure, Pumps, Signals, Suction, Support vector machines, Feature extraction, Algorithms, Machine learning

Journal Articles

Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers

Jatin Prakash, Ankur Miglani, P. K. Kankar

J. Comput. Inf. Sci. Eng. August 2023, 23(4): 041005.

Paper No: JCISE-22-1187

https://doi.org/10.1115/1.4056365

Published Online: January 9, 2023

View Article titled, Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers

Topics: Entropy, Hydraulic pumps, Leakage, Machine learning, Signals, Optimization, Algorithms, Composite materials

Includes: Supplementary data

Journal Articles

Multifidelity Physics-Constrained Neural Networks With Minimax Architecture

Dehao Liu, Pranav Pusarla, Yan Wang

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031008.

Paper No: JCISE-22-1159

https://doi.org/10.1115/1.4055316

Published Online: December 9, 2022

View Article titled, Multifidelity Physics-Constrained Neural Networks With Minimax Architecture

Topics: Artificial neural networks, Heat transfer, Phase transitions, Physics, Machine learning, Temperature, Modeling, Optimization

Journal Articles

JCISE Editorial Board—Year 2022

J. Comput. Inf. Sci. Eng. December 2022, 22(6): 060201.

Paper No: JCISE-22-1322

https://doi.org/10.1115/1.4055929

Published Online: October 28, 2022

View Article titled, JCISE Editorial Board—Year 2022

Topics: China, National Institute of Standards and Technology, Manufacturing, Modeling, Simulation, Aeronautics, Air Force, Algorithms, Artificial intelligence, Augmented reality

Journal Articles

Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Anh Tran, Kathryn Maupin, Theron Rodgers

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011011.

Paper No: JCISE-22-1017

https://doi.org/10.1115/1.4055852

Published Online: October 20, 2022

View Article titled, Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Topics: Machine learning, Materials science, Physics, Stress, Testing, Crystals, Plasticity, Simulation, Noise (Sound), Finite element analysis

Journal Articles

Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

Marie-Jo Azzi, Chady Ghnatios, Philip Avery, Charbel Farhat

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011009.

Paper No: JCISE-22-1149

https://doi.org/10.1115/1.4055546

Published Online: September 27, 2022

View Article titled, Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

Topics: Approximation, Computer simulation, Construction, Dimensions, Machine learning, Modeling, Nozzles, Physics, Robustness, Simulation

Journal Articles

Machine Learning Based Developing Flow Control Technique Over Circular Cylinders

Ece Ayli, Eyup Kocak, Hasmet Turkoglu

J. Comput. Inf. Sci. Eng. April 2023, 23(2): 021015.

Paper No: JCISE-22-1024

https://doi.org/10.1115/1.4054689

Published Online: July 21, 2022

View Article titled, Machine Learning Based Developing Flow Control Technique Over Circular Cylinders

Topics: Artificial neural networks, Cylinders, Drag (Fluid dynamics), Flow (Dynamics), Flow control, Machine learning, Suction, Support vector machines, Wakes, Reynolds number

Journal Articles

JCISE Editorial – August 2022

Yan Wang

J. Comput. Inf. Sci. Eng. August 2022, 22(4): 040201.

Paper No: JCISE-22-1198

https://doi.org/10.1115/1.4054864

Published Online: July 1, 2022

View Article titled, JCISE Editorial – August 2022

Topics: Additive manufacturing, Artificial intelligence, Augmented reality, Casting, China, Cities, Cloud computing, Collaboration, Complex systems, Computation

Journal Articles

Transfer Learning of Motor Difficulty Classification in Physical Human–Robot Interaction Using Electromyography

Hemanth Manjunatha, Sri Sadhan Jujjavarapu, Ehsan T. Esfahani

J. Comput. Inf. Sci. Eng. October 2022, 22(5): 050908.

Paper No: JCISE-21-1313

https://doi.org/10.1115/1.4054594

Published Online: June 7, 2022

View Article titled, Transfer Learning of Motor Difficulty Classification in Physical Human–Robot Interaction Using Electromyography

Topics: Artificial neural networks, Damping, Electromyography, Engines, Human-robot interaction, Machine learning, Motors, Robots, Signals, Physiology

Journal Articles

Special Issue: Highlights of CIE 2021

Marina Carulli, Seung-Kyum Choi, Tsz Ho Kwok, Yan Lu, Mahesh Mani, Paul Witherell

J. Comput. Inf. Sci. Eng. June 2022, 22(3): 030301.

Paper No: JCISE-22-1090

https://doi.org/10.1115/1.4054201

Published Online: April 29, 2022

View Article titled, Special Issue: Highlights of CIE 2021

Topics: Computer software, Computer-aided engineering, Computers, Computers and information in engineering , Cyber-physical systems, Design, Design engineering, Geometric modeling, Haptics, Hardware

Journal Articles

Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines

Yu Zheng, Xiangyu Bao, Fei Zhao, Chong Chen, Ying Liu, Bo Sun, Haotong Wang

J. Comput. Inf. Sci. Eng. October 2022, 22(5): 054501.

Paper No: JCISE-21-1296

https://doi.org/10.1115/1.4054090

Published Online: March 31, 2022

View Article titled, Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines

Topics: Engines, Service life (Equipment), Turbofans, Feature extraction, Machine learning

Journal Articles

Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach

Vivek Oommen, Balaji Srinivasan

J. Comput. Inf. Sci. Eng. August 2022, 22(4): 041012.

Paper No: JCISE-21-1348

https://doi.org/10.1115/1.4053800

Published Online: March 10, 2022

View Article titled, Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach

Topics: Artificial neural networks, Errors, Heat, Heat transfer, Physics, Temperature, Neural network models, Error analysis, Inverse problems, Machine learning

Journal Articles

Prediction of Mechanical Properties of Three-Dimensional Printed Lattice Structures Through Machine Learning

Shuai Ma, Qian Tang, Ying Liu, Qixiang Feng

J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031008.

Paper No: JCISE-21-1252

https://doi.org/10.1115/1.4053077

Published Online: December 16, 2021

View Article titled, Prediction of Mechanical Properties of Three-Dimensional Printed Lattice Structures Through Machine Learning

Topics: Elastic moduli, Errors, Machine learning, Mechanical properties, Three-dimensional models, Entropy, Yield strength, Design, Porosity

Journal Articles

Adaptive Virtual Reality Exergame: Promoting Physical Activity Among Workers

Thomas Stranick, Christian Lopez

J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031002.

Paper No: JCISE-21-1261

https://doi.org/10.1115/1.4053002

Published Online: December 10, 2021

View Article titled, Adaptive Virtual Reality Exergame: Promoting Physical Activity Among Workers

Topics: Machine learning, Virtual reality, Sensors

Journal Articles

A Machine Learning Approach to Solve the Alt–Burmester Problem for Synthesis of Defect-Free Spatial Mechanisms

Shashank Sharma, Anurag Purwar

J. Comput. Inf. Sci. Eng. April 2022, 22(2): 021003.

Paper No: JCISE-20-1269

https://doi.org/10.1115/1.4051913

Published Online: October 13, 2021

View Article titled, A Machine Learning Approach to Solve the Alt–Burmester Problem for Synthesis of Defect-Free Spatial Mechanisms

Topics: Algorithms, Databases, Machine learning

Journal citation

NARROW

Supplemental Material

Manuscript

Challenges and Opportunities in Computing Research to Enable Next Generation Engineering Applications

Self-Supervised Learning of Spatially Varying Process Parameter Models for Robotic Finishing Tasks

HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in CAD

“I can see your password”: A case study about cybersecurity risks in mid-air interactions of mixed reality-based smart manufacturing applications

Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling

Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models

Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers

Multifidelity Physics-Constrained Neural Networks With Minimax Architecture

JCISE Editorial Board—Year 2022

Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

Machine Learning Based Developing Flow Control Technique Over Circular Cylinders

JCISE Editorial – August 2022

Transfer Learning of Motor Difficulty Classification in Physical Human–Robot Interaction Using Electromyography

Special Issue: Highlights of CIE 2021

Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines

Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach

Prediction of Mechanical Properties of Three-Dimensional Printed Lattice Structures Through Machine Learning

Adaptive Virtual Reality Exergame: Promoting Physical Activity Among Workers

A Machine Learning Approach to Solve the Alt–Burmester Problem for Synthesis of Defect-Free Spatial Mechanisms

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only