Robustness optimization for rapid prototyping of functional artifacts based on visualized computing digital twins [0.03%]
基于可视化计算数字孪生的快速功能产物原型优化robustness优化方法研究
Jinghua Xu,Kunqian Liu,Linxuan Wang et al.
Jinghua Xu et al.
This study presents a robustness optimization method for rapid prototyping (RP) of functional artifacts based on visualized computing digital twins (VCDT). A generalized multiobjective robustness optimization model for RP of scheme design p...
Qingsong Yang,Donna L Lizotte,Wenxiang Cong et al.
Qingsong Yang et al.
Over recent years, the importance of the patent literature has become increasingly more recognized in the academic setting. In the context of artificial intelligence, deep learning, and data sciences, patents are relevant to not only indust...
Photon-counting computed tomography thermometry via material decomposition and machine learning [0.03%]
通过物质分解和机器学习进行光子计数计算机断层扫描温度测量
Nathan Wang,Mengzhou Li,Petteri Haverinen
Nathan Wang
Thermal ablation procedures, such as high intensity focused ultrasound and radiofrequency ablation, are often used to eliminate tumors by minimally invasively heating a focal region. For this task, real-time 3D temperature visualization is ...
An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing length [0.03%]
具有可变平滑长度的高效非迭代光滑粒子水动力学流体模拟方法
Min Li,Hongshu Li,Weiliang Meng et al.
Min Li et al.
In classical smoothed particle hydrodynamics (SPH) fluid simulation approaches, the smoothing length of Lagrangian particles is typically constant. One major disadvantage is the lack of adaptiveness, which may compromise accuracy in fluid r...
Kang Wu,Xiao-Ming Fu,Renjie Chen et al.
Kang Wu et al.
Visual arts refer to art experienced primarily through vision. 3D visual optical art is one of them. Artists use their rich imagination and experience to combine light and objects to give viewers an unforgettable visual experience. However,...
Deep learning tomographic reconstruction through hierarchical decomposition of domain transforms [0.03%]
通过领域变换的分层分解实现深度学习断层重建
Lin Fu,Bruno De Man
Lin Fu
Deep learning (DL) has shown unprecedented performance for many image analysis and image enhancement tasks. Yet, solving large-scale inverse problems like tomographic reconstruction remains challenging for DL. These problems involve non-loc...
Cardiac CT blooming artifacts: clinical significance, root causes and potential solutions [0.03%]
心脏CT磁敏感伪影：临床意义、根本原因及潜在解决方案
Jed D Pack,Mufeng Xu,Ge Wang et al.
Jed D Pack et al.
This review paper aims to summarize cardiac CT blooming artifacts, how they present clinically and what their root causes and potential solutions are. A literature survey was performed covering any publications with a specific interest in c...
Optimization design of two-stage amplification micro-drive system without additional motion based on particle swarm optimization algorithm [0.03%]
基于粒子群优化算法的无附加运动两级放大微驱动系统优化设计
Manzhi Yang,Kaiyang Wei,Chuanwei Zhang et al.
Manzhi Yang et al.
With the increasing requirements of precision mechanical systems in electronic packaging, ultra-precision machining, biomedicine and other high-tech fields, it is necessary to study a precision two-stage amplification micro-drive system tha...
Reinforcement learning method for machining deformation control based on meta-invariant feature space [0.03%]
基于元不变特征空间的加工变形控制强化学习方法
Yujie Zhao,Changqing Liu,Zhiwei Zhao et al.
Yujie Zhao et al.
Precise control of machining deformation is crucial for improving the manufacturing quality of structural aerospace components. In the machining process, different batches of blanks have different residual stress distributions, which pose a...
Louis Zhang
Louis Zhang
As one of the most widely used assays in biological research, an enumeration of the bacterial cell colonies is an important but time-consuming and labor-intensive process. To speed up the colony counting, a machine learning method is presen...