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Issues
June 2020
ISSN 1530-9827
EISSN 1944-7078
In this Issue
Special Issue: Machine Learning Applications in Manufacturing Part II
Research Papers
A Predictive Dispatching Rule Assisted by Multi-Layer Perceptron for Scheduling Wafer Fabrication Lines
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031001.
doi: https://doi.org/10.1115/1.4045742
Topics:
Integrated circuit fabrication
,
Multilayer perceptron
,
Stress
,
Machinery
,
Manufacturing
Machine Learning-Based Reverse Modeling Approach for Rapid Tool Shape Optimization in Die-Sinking Micro Electro Discharge Machining
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031002.
doi: https://doi.org/10.1115/1.4045956
A Predictive Analytics Tool to Provide Visibility Into Completion of Work Orders in Supply Chain Systems
Jundi Liu, Steven Hwang, Walter Yund, Joel D. Neidig, Scott M. Hartford, Linda Ng Boyle, Ashis G. Banerjee
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031003.
doi: https://doi.org/10.1115/1.4046135
Topics:
Dimensions
,
Errors
,
Supply chains
,
Testing
,
Regression models
,
Machine learning
,
Decision making
Data-Driven Concept Network for Inspiring Designers’ Idea Generation
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031004.
doi: https://doi.org/10.1115/1.4046207
Topics:
Design
,
Machine learning
Automatic Detection of Manufacturing Equipment Cycles Using Time Series
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031005.
doi: https://doi.org/10.1115/1.4046208
Topics:
Cycles
,
Machine tools
,
Pattern recognition
,
Production equipment
,
Stress
,
Time series
,
Algorithms
A Supervised Machine Learning Approach for Intelligent Process Automation in Container Logistics
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031006.
doi: https://doi.org/10.1115/1.4046332
Topics:
Containers
,
Machine learning
sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031007.
doi: https://doi.org/10.1115/1.4046697
Topics:
Design
,
Optimization
A Gait Trajectory Control Scheme Through Successive Approximation Based on Radial Basis Function Neural Networks for the Lower Limb Exoskeleton Robot
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031008.
doi: https://doi.org/10.1115/1.4046937
Trajectory-Tracking-Based Adaptive Neural Network Sliding Mode Controller for Robot Manipulators
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031009.
doi: https://doi.org/10.1115/1.4047073
Technical Briefs
Automatic Extraction of Engineering Rules From Unstructured Text: A Natural Language Processing Approach
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 034501.
doi: https://doi.org/10.1115/1.4046333
Boundary Encryption-Based Monte Carlo Learning Method for Workspace Modeling
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 034502.
doi: https://doi.org/10.1115/1.4046816
Topics:
Algorithms
,
Cranes
,
Density
,
Monte Carlo methods
,
Ocean engineering
,
Machine learning
,
Modeling
,
Encryption
,
Kinematics
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Special Issue: Human–Robot Collaboration in Industry 5.0
J. Comput. Inf. Sci. Eng (May 2025)
Estimating Motor Control Difficulty in Human–Robot Fine Co-Manipulation Tasks Using Brain Activities
J. Comput. Inf. Sci. Eng (May 2025)
An Experimental Study on the Design of Interaction Modalities in Augmented Reality for Industrial Robot Programming
J. Comput. Inf. Sci. Eng (May 2025)
