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Journal of Computing and Information Science in Engineering, Volume 26
Volume 26, Number 1, 2026
- Hiep Vo Dang, Phong C. H. Nguyen:

Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction From Sparse Sensor Measurements. - Lukman Irshad, Hannah S. Walsh:

Learning From Accident Reports Using Language Models: Human Errors and Error Mechanisms in Aviation and Railway Accidents. - Yifan Niu, Chang Gao, Chenxuan Hu, Haidong Yu:

A New Optimal Tolerance Allocation Approach in Gear Transmission Mechanisms Including a Dynamic Model. - Xuemei Gan, Ying Zuo, Guanci Yang

, Ansi Zhang, Fei Tao:
Robust Scheduling Based on Deep Reinforcement Learning for Flexible Job Shop With Machine Breakdown and New Job Arrival. - Amol Kulkarni, Pongchalat Chaisiriroj

, Vignesh Chitra, Vittaldas V. Prabhu, Janis P. Terpenny:
Concurrent Specification and Selection of Heterogeneous Sensors Using Goal Programming. - Runlin Duan, Nachiketh Karthik, Yuzhao Chen, Jingyu Shi, Rahul Jain

, Maria Yang, Karthik Ramani:
ConceptVis: Exploring and Visualizing Design Concepts With Large Language Models Using Interactive Knowledge Graph.
Volume 26, Number 2, 2026
- Yubo Dou, Liting Jing, Haoyu Zhang, Zijie You, Jiquan Li, Shaofei Jiang:

An Enhanced Design Concept Evaluation Approach Incorporating Large Language Models and Heterogeneous Preference Fusion. - Chao Jia, Tao Yu:

Leveling Control of Multi-Cylinder Hydraulic Press: A Deep Reinforcement Learning Approach Based on Integral Compensation and Lyapunov Constraints. - Shufan Lin, Haiwei Fu, Kuaini Wang:

Mean-Variance Minimization Regularized Extreme Learning Machine With Maximum Correntropy Criterion. - Nuozhou Li, Jianjun Yi, Feilong Wang, Hongxing Wang:

Fault Diagnosis of Hydraulic Systems With an Improved Transition Matrix Hierarchical Network Subject to Multimodal Fusion. - Xixi Wu, Yuliang Li:

Multilayer Network Change Model for Identifying Affected Manufacturing Entities in the Mechanical Design.
Volume 26, Number 3, 2026
- Aohua Tang, Guang Fu, Tao Zhang, Pengpeng Song, Xiaomin Xiao, Qingguo Peng, Taiqian Mo, Ansi Zhang, Zhengwen Zhang:

Nesting Problems in Additive Manufacturing: Classification and Review. - Qin Yang

, Jiufeng Zheng, Dandan Ke, Hengyuan Li, Wei Jiang:
Research on the Dynamic Evolution of Product Models Driven by Customer Requirement Based on Similar Cases. - Ying Zuo, Yucheng Wang, Yilin Li, Yongping Zhang, Fei Tao:

Digital Twin-Enabled Temporal Uncertainty Mitigation for Human-Robot Collaborative Assembly in Distributed Control System. - Pongchalat Chaisiriroj, Robert B. Stone, Janis P. Terpenny:

AutomataScales: Computationally Efficient Multiphysics Simulation for Early-Stage System Design. - Siqi Zhang, Hui Yang

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Dual Generative Adversarial Networks for Neighborhood Learning and Prediction of Melt-Pool Dynamics in Additive Manufacturing.
Volume 26, Number 4, 2026
- Ghanashyam Vinod, Rama Muni Reddy Yanamala, Rayappa David Amar Raj, T. Subeesh, V. Anandkumar, Rouzbeh Nazari, Manasa V, Archana Pallakonda:

FPGA-Powered Solar Photovoltaic Module Defect Classification: Patch-Wise Reusable Convolutional Neural Network Intellectual Properties for High-Speed Edge Processing. - Reihaneh Kardehi Moghaddam, Amir H. Gandomi, Mohammad Reza Nikoo:

A Comprehensive Review of Sea Wave Energy Converters: With Industry Focus and Future Artificial Intelligence Prospects. - David Ge, Hao Ji, Tsung-Jui Wu, Bingling Huang, Quanchao Lu, Shuo Shi:

Efficient Training in Multiagent Reinforcement Learning: A Communication-Free Framework for the Box-Pushing Problem. - Pengwei Zhou, Nuo Xu, Xiao Sun, Xiao Hu, Yue Li, Zhuofan Cui, Yan Liu, Zuhua Xu:

A Long-Term Interval Prediction Method for Industrial Oxygen Demand Using Granulation-Based Attention Mechanism and Multiscale Decomposition.

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