Journal of Computing and Information Science in Engineering: Recent submissions
Now showing items 41-60 of 1535
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Supply Chain Risk Management With Large Language Models: An Application for Natural Hazard Monitoring
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Impacts of natural hazards on supply chains can be devastating, especially given the increase in their frequency and intensity. For larger and geographically dispersed supply chains, it is critical to monitor ... -
Opportunities and Gaps in Supply Chain Digital Twin Deployments: A Biopharmaceutical Industry Focus
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. The United States (US) national directive has identified the supply chain (SC) resilience of the biopharmaceutical (BP) manufacturing industry as an important key economic and national security performance. ... -
Development of a Microservice Architecture and Services for a Rapid Response Online Product Marketplace
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. The global pandemic has exposed deficiencies in supply chains in rapidly responding to urgent medical needs and demonstrated the challenge of promptly acquiring medical supplies during emergencies. Even under ... -
Blockchain-Empowered Federated Learning Applications in Smart Manufacturing: A Literature Review
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Industry 4.0 and smart manufacturing increasingly require secure, decentralized, and collaborative data-driven systems. However, challenges such as data privacy, cybersecurity, trust among stakeholders, and ... -
Full Strain Matrix Estimation in Thin-Walled Structures With Recurrent Inpainting Model
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Thin-walled structures are ubiquitous in industries such as automotive, civil engineering, consumer electronics, or medical devices; and many times these structures, or a significant part of them, can be approximated ... -
A Long-Term Interval Prediction Method for Industrial Oxygen Demand Using Granulation-Based Attention Mechanism and Multiscale Decomposition
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Accurate long-term interval forecasting of downstream oxygen demand is essential for supporting scheduling engineers in large steel enterprises to make well-informed decisions about the oxygen supply network. ... -
Efficient Training in Multiagent Reinforcement Learning: A Communication-Free Framework for the Box-Pushing Problem
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Effective coordination is a critical challenge in the design of self-organizing systems (SOSs), particularly in decentralized training where explicit communication incurs high costs. Traditional approaches often ... -
FPGA-Powered Solar Photovoltaic Module Defect Classification: Patch-Wise Reusable Convolutional Neural Network Intellectual Properties for High-Speed Edge Processing
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Modern deep neural network models can achieve high accuracy for computer vision tasks; however, their high computational cost keeps them ashore from deployment on embedded devices. To resolve this, MobileNet was ... -
A Review on the Remaining Useful Life Prediction of Rotating Machinery Based on Deep Learning
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Remaining useful life (RUL) prediction is a critical technology in prognostics and health management. Rotating machinery plays an indispensable role in industrial processes, and accurate RUL prediction for such ... -
A Comprehensive Review of Sea Wave Energy Converters: With Industry Focus and Future Artificial Intelligence Prospects
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. As the global demand for renewable energy sources increases, sea wave energy converters have emerged as a promising solution for harnessing the power of ocean waves. This review article provides an in-depth ... -
Research on the Dynamic Evolution of Product Models Driven by Customer Requirement Based on Similar Cases
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Individualized product customization aims to satisfy specific customer requirements through configuration design. However, most existing methods treat customer requirements as static inputs and struggle to ... -
Digital Twin-Enabled Temporal Uncertainty Mitigation for Human–Robot Collaborative Assembly in Distributed Control System
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Human–machine collaboration is an effective means to perform complex tasks in manufacturing. However, in distributed control systems that require temporal certainty, the temporal uncertainty in human–machine ... -
Advanced Genetic Algorithm-Based Network Optimization for Mission Assurance
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Optimizing network configurations is essential for improving the performance of mission-critical systems. This article presents a genetic algorithm (GA) framework that integrates a constraint-preserving, mutation-only ... -
AutomataScales: Computationally Efficient Multiphysics Simulation for Early-Stage System Design
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. This article introduces AutomataScales, a new simulation method for early-stage system design employing a discrete deterministic formulation grounded in physical and probabilistic theories. By incorporating ... -
Dual Generative Adversarial Networks for Neighborhood Learning and Prediction of Melt-Pool Dynamics in Additive Manufacturing
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Laser powder bed fusion (LPBF) is one of the metal additive manufacturing technologies that uses a laser beam to selectively fuse the material into the desired shape layer by layer. At each fusing point, the laser ... -
Nesting Problems in Additive Manufacturing: Classification and Review
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. At the heart of the nesting dilemma in additive manufacturing (AM) lies the intricate task of meticulously arranging a multitude of geometrically distinct parts within the printing space, striving to optimize ... -
FW-DenseNet: A Weighted DenseNet in the Frequency Domain for Fabric Texture Recognition
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. The identification of knitted fabric patterns is a critical component in modern textile manufacturing processes. Traditionally, manual identification remains the predominant method, but it often incurs significant ... -
Mean-Variance Minimization Regularized Extreme Learning Machine With Maximum Correntropy Criterion
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Extreme learning machine (ELM) has gained significant attention for its remarkable generalization performance and fast processing speeds in recent years. However, its sensitivity to non-Gaussian noise and outliers ... -
An Enhanced Design Concept Evaluation Approach Incorporating Large Language Models and Heterogeneous Preference Fusion
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Design concept evaluation (DCE) is a crucial stage in new product development, significantly influencing downstream design and manufacturing processes. However, the subjectivity, heterogeneity, and potential ... -
Multilayer Network Change Model for Identifying Affected Manufacturing Entities in the Mechanical Design
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Engineering changes are inevitable in product design, especially during the development of complex products, where they often affect multiple-domain engineering entities. Traditional single-domain change models ...