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Journal Articles

A Data Augmentation Method for Data-driven Component Segmentation of Engineering Drawings

Wentai Zhang, Joe Joseph, Quan Chen, Can Koz, Liuyue Xie, Amit Regmi, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-22-1374

DOI: https://doi.org/10.1115/1.4062233

Published Online: March 29, 2023

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Topics: Engineering drawings, Image segmentation, Machine learning, Computers, Machinery, Computer-aided design, Design, Dimensions, Engineering systems and industry applications, Manufacturing

Journal Articles

A TEXT ANALYTICS FRAMEWORK FOR SUPPLIER CAPABILITY SCORING SUPPORTED BY NGD AND SEMANTIC SIMILARITY MEASUREMENT METHODS

Kimia Zandbiglari, Farhad Ameri, Mohammad Javadi

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-22-1254

DOI: https://doi.org/10.1115/1.4062173

Published Online: March 21, 2023

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Topics: Semantics, Text analytics, Artificial intelligence, Engineering systems and industry applications, Engines, Machine learning, Manufacturing, Reliability

Journal Articles

Special Section Highlights of CIE 2022

Mahesh Mani, Paul Witherell, Caterina Rizzi

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-23-1128

DOI: https://doi.org/10.1115/1.4062144

Published Online: March 17, 2023

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Topics: Computer-aided engineering, Computers, Computers and information in engineering , Design engineering, Engineering systems and industry applications, Knowledge management, Machine learning, Mechanical engineers, Modeling, Simulation

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

DOI: https://doi.org/10.1115/1.4056365

Published Online: January 9, 2023

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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

DOI: https://doi.org/10.1115/1.4055316

Published Online: December 9, 2022

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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

DOI: https://doi.org/10.1115/1.4055929

Published Online: October 28, 2022

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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

DOI: https://doi.org/10.1115/1.4055852

Published Online: October 20, 2022

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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

DOI: https://doi.org/10.1115/1.4055546

Published Online: September 27, 2022

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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

DOI: https://doi.org/10.1115/1.4054689

Published Online: July 21, 2022

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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

DOI: https://doi.org/10.1115/1.4054864

Published Online: July 1, 2022

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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

DOI: https://doi.org/10.1115/1.4054594

Published Online: June 7, 2022

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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

DOI: https://doi.org/10.1115/1.4054201

Published Online: April 29, 2022

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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

DOI: https://doi.org/10.1115/1.4054090

Published Online: March 31, 2022

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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

DOI: https://doi.org/10.1115/1.4053800

Published Online: March 10, 2022

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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

DOI: https://doi.org/10.1115/1.4053077

Published Online: December 16, 2021

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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

DOI: https://doi.org/10.1115/1.4053002

Published Online: December 10, 2021

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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

DOI: https://doi.org/10.1115/1.4051913

Published Online: October 13, 2021

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Topics: Algorithms, Databases, Machine learning

Journal Articles

Biomechanical Study and Prediction of Lower Extremity Joint Movements Using Bayesian Regularization-Based Backpropagation Neural Network

Jyotindra Narayan, Santosha K. Dwivedy

J. Comput. Inf. Sci. Eng. February 2022, 22(1): 014503.

Paper No: JCISE-20-1157

DOI: https://doi.org/10.1115/1.4051599

Published Online: July 14, 2021

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Topics: Artificial neural networks, Biomechanics, Cycles, Knee, Multilayer perceptron, Neural network models, Machine learning, Errors

Journal Articles

A Recommender System for the Additive Manufacturing of Component Inventories Using Machine Learning

Seyedeh Elaheh Ghiasian, Kemper Lewis

J. Comput. Inf. Sci. Eng. February 2022, 22(1): 011006.

Paper No: JCISE-20-1270

DOI: https://doi.org/10.1115/1.4051342

Published Online: July 13, 2021

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Topics: Additive manufacturing, Algorithms, Design, Machine learning, Printing, Manufacturing, Databases

Journal Articles

Monitoring the Degradation in the Switching Behavior of a Hydraulic Valve Using Recurrence Quantification Analysis and Fractal Dimensions

Jatin Prakash, P. K. Kankar, Ankur Miglani

J. Comput. Inf. Sci. Eng. December 2021, 21(6): 061010.

Paper No: JCISE-20-1236

DOI: https://doi.org/10.1115/1.4050821

Published Online: May 21, 2021

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Topics: Dimensions, Fractals, Valves, Machine learning, Signals, Support vector machines, Feature extraction

Journal citation

NARROW

Supplemental Material

Manuscript

A Data Augmentation Method for Data-driven Component Segmentation of Engineering Drawings

A TEXT ANALYTICS FRAMEWORK FOR SUPPLIER CAPABILITY SCORING SUPPORTED BY NGD AND SEMANTIC SIMILARITY MEASUREMENT METHODS

Special Section Highlights of CIE 2022

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

Biomechanical Study and Prediction of Lower Extremity Joint Movements Using Bayesian Regularization-Based Backpropagation Neural Network

A Recommender System for the Additive Manufacturing of Component Inventories Using Machine Learning

Monitoring the Degradation in the Switching Behavior of a Hydraulic Valve Using Recurrence Quantification Analysis and Fractal Dimensions

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