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Journal Articles

Optimal design and sensitivity analysis of the dynamic vibration absorber with amplifying mechanism

Yifan Liu, Jiazhi Cai, Haiyuan Li, Qingbin Gao

J. Comput. Inf. Sci. Eng.

Paper No: JCISE-22-1060

DOI: https://doi.org/10.1115/1.4056920

Published Online: February 17, 2023

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Topics: Design, Optimization, Sensitivity analysis, Vibration absorbers, Vibration suppression, Damping, Frequency response, Polynomials, Stiffness, Uncertainty

Journal Articles

Partitioned Active Learning for Heterogeneous Systems

Cheolhei Lee, Kaiwen Wang, Jianguo Wu, Wenjun Cai, Xiaowei Yue

J. Comput. Inf. Sci. Eng. August 2023, 23(4): 041009.

Paper No: JCISE-22-1247

DOI: https://doi.org/10.1115/1.4056567

Published Online: January 10, 2023

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Topics: Algorithms, Design, Simulation, Modeling, Errors, Uncertainty

Journal Articles

Special Issue: Machine Intelligence for Engineering Under Uncertainties

Amir H. Gandomi, Marc Mignolet, Christian Soize, Yan Wang

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 010201.

Paper No: JCISE-22-1369

DOI: https://doi.org/10.1115/1.4056396

Published Online: December 19, 2022

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Topics: Artificial intelligence, Uncertainty

Journal Articles

A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge

Atharva Hans, Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031011.

Paper No: JCISE-22-1201

DOI: https://doi.org/10.1115/1.4055596

Published Online: December 12, 2022

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Topics: Modeling, Probability, Students, Testing, Design, Fatigue analysis, Uncertainty, Engineering education

Journal Articles

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

Luka Malashkhia, Dehao Liu, Yanglong Lu, Yan Wang

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011012.

Paper No: JCISE-22-1123

DOI: https://doi.org/10.1115/1.4055924

Published Online: November 8, 2022

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Topics: Algorithms, Artificial neural networks, Heat transfer, Physics, Simulation, Temperature, Uncertainty, Phase transitions, Finite element methods, Additive manufacturing

Journal Articles

Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties

Qiyang Ma, Yiming Che, Changqing Cheng, Zimo Wang

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011007.

Paper No: JCISE-22-1122

DOI: https://doi.org/10.1115/1.4055425

Published Online: September 27, 2022

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Topics: Downtime, Manufacturing systems, Optimization, Production planning, Uncertainty, Simulation, Manufacturing, Machinery, Polynomials, Chaos

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

Uncertainty Quantification and Optimal Robust Design for Machining Operations

Jinming Wan, Yiming Che, Zimo Wang, Changqing Cheng

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011005.

Paper No: JCISE-22-1032

DOI: https://doi.org/10.1115/1.4055039

Published Online: August 5, 2022

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Topics: Design, Machining, Stability, Uncertainty, Risk

Journal Articles

A Probabilistic Learning Approach Applied to the Optimization of Wake Steering in Wind Farms

Jeferson O. Almeida, Fernando A. Rochinha

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011003.

Paper No: JCISE-22-1120

DOI: https://doi.org/10.1115/1.4054501

Published Online: June 6, 2022

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Topics: Optimization, Wakes, Wind farms, Uncertainty, Turbines, Wind, Wind turbines

Journal Articles

A Framework for Inverse Prediction Using Functional Response Data

Daniel Ries, Adah Zhang, J. Derek Tucker, Kurtis Shuler, Madeline Ausdemore

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011002.

Paper No: JCISE-21-1393

DOI: https://doi.org/10.1115/1.4053752

Published Online: May 20, 2022

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Topics: Errors, Nuclear forensics, Particulate matter, Scalars, Shapes, Simulation, Uncertainty, Texture (Materials), Modeling, Uncertainty quantification

Journal Articles

Seeking Human Help to Manage Plan Failure Risks in Semi-Autonomous Mobile Manipulation

Sarah Al-Hussaini, Neel Dhanaraj, Jason M. Gregory, Rex Jomy Joseph, Shantanu Thakar, Brual C. Shah, Jeremy A. Marvel, Satyandra K. Gupta

J. Comput. Inf. Sci. Eng. October 2022, 22(5): 050906.

Paper No: JCISE-21-1287

DOI: https://doi.org/10.1115/1.4054088

Published Online: April 13, 2022

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Topics: Collisions (Physics), Failure, Manipulators, Probability, Risk, Robots, Uncertainty, Grasping

Journal Articles

Fuzzy Concept Evaluation Based on Prospect Theory and Heterogeneous Evaluation Information

Shaofei Jiang, Yubo Dou, Shun He, Bowen Tan, Xiang Peng, Liting Jing

J. Comput. Inf. Sci. Eng. August 2022, 22(4): 041003.

Paper No: JCISE-21-1190

DOI: https://doi.org/10.1115/1.4053673

Published Online: February 7, 2022

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Topics: Machinery, Sensitivity analysis, Uncertainty, Weight (Mass), Design, Decision making, Preferences, Risk

Journal Articles

Algorithms for Improving Speed and Accuracy of Automated Three-Dimensional Reconstruction With a Depth Camera Mounted on An Industrial Robot

Rishi Malhan, Rex Jomy Joseph, Prahar M. Bhatt, Brual Shah, Satyandra K. Gupta

J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031012.

Paper No: JCISE-21-1288

DOI: https://doi.org/10.1115/1.4053272

Published Online: February 7, 2022

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Topics: Algorithms, Errors, Imaging, Robots, Trajectories (Physics), Uncertainty, Calibration

Journal Articles

Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures

Recep M. Gorguluarslan, Gorkem Can Ates, O. Utku Gungor, Yusuf Yamaner

J. Comput. Inf. Sci. Eng. June 2022, 22(3): 031001.

Paper No: JCISE-21-1268

DOI: https://doi.org/10.1115/1.4053001

Published Online: December 10, 2021

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Topics: Artificial neural networks, Modeling, Struts (Engineering), Uncertainty, Additive manufacturing, Microscopes

Includes: Supplementary data

Journal Articles

Evidence-Theory-Based Kinematic Uncertainty Analysis of a Dual Crane System With Epistemic Uncertainty

Bin Zhou, Bin Zi, Yishan Zeng, Weidong Zhu

J. Comput. Inf. Sci. Eng. April 2022, 22(2): 021004.

Paper No: JCISE-21-1074

DOI: https://doi.org/10.1115/1.4052005

Published Online: October 13, 2021

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Topics: Cranes, Errors, Kinematics, Uncertainty, Uncertainty quantification, Uncertainty analysis, Equilibrium (Physics)

Journal Articles

An Efficient Multi-Objective Robust Optimization Method by Sequentially Searching From Nominal Pareto Solutions

Tingting Xia, Mian Li

J. Comput. Inf. Sci. Eng. August 2021, 21(4): 041010.

Paper No: JCISE-20-1200

DOI: https://doi.org/10.1115/1.4049996

Published Online: February 23, 2021

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Topics: Optimization, Robustness, Uncertainty, Design, Pareto optimization

Journal Articles

Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems

Seyede Fatemeh Ghoreishi, Mahdi Imani

J. Comput. Inf. Sci. Eng. August 2021, 21(4): 041009.

Paper No: JCISE-20-1171

DOI: https://doi.org/10.1115/1.4049994

Published Online: February 23, 2021

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Topics: Engineering disciplines, Uncertainty, Uncertainty analysis

Journal Articles

Trajectory-Tracking-Based Adaptive Neural Network Sliding Mode Controller for Robot Manipulators

Bin Ren, Yao Wang, Jiayu Chen

J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031009.

Paper No: JCISE-19-1171

DOI: https://doi.org/10.1115/1.4047073

Published Online: May 8, 2020

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Topics: Artificial neural networks, Control equipment, Errors, Manipulators, Trajectories (Physics), Uncertainty, Robots, Sliding mode control, Surface mount components, Algorithms

Journal Articles

Multiscale Modeling of Turbine Engine Component Under Manufacturing Uncertainty

Austin M. McKeand, Recep M. Gorguluarslan, Jeff Brown, Seung-Kyum Choi

J. Comput. Inf. Sci. Eng. December 2019, 19(4): 041017.

Paper No: JCISE-18-1287

DOI: https://doi.org/10.1115/1.4044011

Published Online: August 5, 2019

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Topics: Gas turbines, Geometry, Manufacturing, Multiscale modeling, Simulation, Turbine blades, Uncertainty, Uncertainty quantification, Modeling, Finite element model

Journal Articles

Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine

Tingli Xie, Ping Jiang, Qi Zhou, Leshi Shu, Yahui Zhang, Xiangzheng Meng, Hua Wei

J. Comput. Inf. Sci. Eng. December 2018, 18(4): 041012.

Paper No: JCISE-18-1035

DOI: https://doi.org/10.1115/1.4040710

Published Online: August 6, 2018

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Topics: Design, Optimization, Support vector machines, Uncertainty

Journal citation

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Supplemental Material

Manuscript

Optimal design and sensitivity analysis of the dynamic vibration absorber with amplifying mechanism

Partitioned Active Learning for Heterogeneous Systems

Special Issue: Machine Intelligence for Engineering Under Uncertainties

A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction

Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties

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

Uncertainty Quantification and Optimal Robust Design for Machining Operations

A Probabilistic Learning Approach Applied to the Optimization of Wake Steering in Wind Farms

A Framework for Inverse Prediction Using Functional Response Data

Seeking Human Help to Manage Plan Failure Risks in Semi-Autonomous Mobile Manipulation

Fuzzy Concept Evaluation Based on Prospect Theory and Heterogeneous Evaluation Information

Algorithms for Improving Speed and Accuracy of Automated Three-Dimensional Reconstruction With a Depth Camera Mounted on An Industrial Robot

Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures

Evidence-Theory-Based Kinematic Uncertainty Analysis of a Dual Crane System With Epistemic Uncertainty

An Efficient Multi-Objective Robust Optimization Method by Sequentially Searching From Nominal Pareto Solutions

Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems

Trajectory-Tracking-Based Adaptive Neural Network Sliding Mode Controller for Robot Manipulators

Multiscale Modeling of Turbine Engine Component Under Manufacturing Uncertainty

Advanced Multi-Objective Robust Optimization Under Interval Uncertainty Using Kriging Model and Support Vector Machine

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