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Volume 24, Issue 6

June 2024

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ISSN 1530-9827

EISSN 1944-7078

In this Issue

Special Section: Digitalization and Reverse Engineering for Additive Manufacturing
Research Papers
Technical Briefs

Special Section: Digitalization and Reverse Engineering for Additive Manufacturing

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

Zehao Ye, Xin Liu, Bo Peng, Chen Kan

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 060901. doi: https://doi.org/10.1115/1.4064147

Abstract

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

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Topics: Additive manufacturing , Deflection , Heat , Mechanical behavior , Metamaterials , Stress , Quality control , Geometry , Machine learning , Modeling

Standard Tessellation Language-Free Adaptive Slicing Scheme for Additive Manufacturing of Cellular Materials

Sina Rastegarzadeh, Jida Huang

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 060902. doi: https://doi.org/10.1115/1.4063227

Abstract

View articletitled, Standard Tessellation Language-Free Adaptive Slicing Scheme for Additive Manufacturing of Cellular Materials

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Topics: Additive manufacturing , Algorithms , Computer-aided design , Design , Errors , Manufacturing , Modeling , Resolution (Optics) , Pipelines , Topology

Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing

Emmanuel Yangue, Durant Fullington, Owen Smith, Wenmeng Tian, Chenang Liu

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 060903. doi: https://doi.org/10.1115/1.4065092

Abstracts

View articletitled, Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing

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Topics: Additive manufacturing , Diffusion (Physics) , Ablation (Vaporization technology) , Generative adversarial networks , Errors , Deep learning

Research Papers

Band-Limited Vibrotactile Noise Enhances Fingertip Haptic Sensation

Komi Chamnongthai, Zhu Li, Takahiro Endo

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061001. doi: https://doi.org/10.1115/1.4064651

Abstracts

View articletitled, Band-Limited Vibrotactile Noise Enhances Fingertip Haptic Sensation

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Topics: Haptics , Noise (Sound) , Vibration , Electromagnetic spectrum

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

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061002. doi: https://doi.org/10.1115/1.4064478

Abstracts

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

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Topics: Algorithms , Computers , Machine learning , Vortices , Flow (Dynamics) , Artificial neural networks

An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults

Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061003. doi: https://doi.org/10.1115/1.4065212

Abstracts

View articletitled, An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults

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Topics: Dynamic time warping , Motors , Probability , Quality control charts , Signals , Sensors , Failure , Modeling , Vehicles , Engines

A Network Interference Approach to Analyzing Change Propagation in Requirements

Phyo Htet Hein, Elisabeth Kames, Cheng Chen, Beshoy Morkos

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061004. doi: https://doi.org/10.1115/1.4065273

Abstracts

View articletitled, A Network Interference Approach to Analyzing Change Propagation in Requirements

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Topics: Design , Flow (Dynamics) , Modeling , Change management , Eigenvalues

Enhancing Robotic Grasping Detection Accuracy With the R2CNN Algorithm and Force-Closure

Hsien-I Lin, Muhammad Ahsan Fatwaddin Shodiq, Hong-Qi Chu

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061005. doi: https://doi.org/10.1115/1.4065311

Abstracts

View articletitled, Enhancing Robotic Grasping Detection Accuracy With the R2CNN Algorithm and Force-Closure

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Topics: Grasping , Algorithms

Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset

Evangéline Capiez-Lernout, Olivier Ezvan, Christian Soize

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 061006. doi: https://doi.org/10.1115/1.4065312

Abstracts

View articletitled, Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset

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Topics: Computer simulation , Nozzles , Dynamics (Mechanics) , Probability , Stress

Technical Briefs

Bi-level Analysis of Computed Tomography Images of Malignant Pleural Mesothelioma: Deep Learning-Based Classification and Subsequent Three-Dimensional Reconstruction

Miri Weiss Cohen, Anna Ghidotti, Daniele Regazzoni

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 064501. doi: https://doi.org/10.1115/1.4064410

Abstracts

View articletitled, Bi-level Analysis of Computed Tomography Images of Malignant Pleural Mesothelioma: Deep Learning-Based Classification and Subsequent Three-Dimensional Reconstruction

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Topics: Computerized tomography , Convolutional neural networks , Filters , Image segmentation , Lung , Tumors , Architecture , Optimization , Filtration , Performance

An Agent-Based Modeling Approach for the Diffusion Analysis of Electric Vehicles With Two-Stage Purchase Choice Modeling

Jiawen Xu, Youyi Bi

J. Comput. Inf. Sci. Eng. June 2024, 24(6): 064502. doi: https://doi.org/10.1115/1.4064623

Abstracts

View articletitled, An Agent-Based Modeling Approach for the Diffusion Analysis of Electric Vehicles With Two-Stage Purchase Choice Modeling

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Topics: Diffusion (Physics) , Electric vehicles , Modeling , Simulation , Vehicles , Public policy , Decision making

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

J. Comput. Inf. Sci. Eng (November 2024)

A Real-time Associative Feature-based CRM and ERP Integration Model for SMEs

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

J. Comput. Inf. Sci. Eng

Evaluating Large Language Models for Material Selection

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A Matrix-based Approach to Unified Synthesis of Planar Four-Bar Mechanisms for Motion Generation with Position, Velocity, and Acceleration Constraints

J. Comput. Inf. Sci. Eng

Special Section: Digitalization and Reverse Engineering for Additive Manufacturing

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

Standard Tessellation Language-Free Adaptive Slicing Scheme for Additive Manufacturing of Cellular Materials

Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing

Research Papers

Band-Limited Vibrotactile Noise Enhances Fingertip Haptic Sensation

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

An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults

A Network Interference Approach to Analyzing Change Propagation in Requirements

Enhancing Robotic Grasping Detection Accuracy With the R2CNN Algorithm and Force-Closure

Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset

Technical Briefs

Bi-level Analysis of Computed Tomography Images of Malignant Pleural Mesothelioma: Deep Learning-Based Classification and Subsequent Three-Dimensional Reconstruction

An Agent-Based Modeling Approach for the Diffusion Analysis of Electric Vehicles With Two-Stage Purchase Choice Modeling

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Special Section: Digitalization and Reverse Engineering for Additive Manufacturing

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