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...
Two fully automated data-driven 3D whole-breast segmentation strategies in MRI for MR-based breast density using image registration and U-Net with a focus on reproducibility [0.03%]
基于图像配准和U网的乳腺MRI中两种全自动数据驱动的3D全乳房分割策略，侧重于可重复性
Jia Ying,Renee Cattell,Tianyun Zhao et al.
Jia Ying et al.
Presence of higher breast density (BD) and persistence over time are risk factors for breast cancer. A quantitatively accurate and highly reproducible BD measure that relies on precise and reproducible whole-breast segmentation is desirable...
Lin Yin,Wei Li,Yang Du et al.
Lin Yin et al.
Magnetic particle imaging (MPI) is an emerging molecular imaging technique with high sensitivity and temporal-spatial resolution. Image reconstruction is an important research topic in MPI, which converts an induced voltage signal into the ...
Superiority of quadratic over conventional neural networks for classification of gaussian mixture data [0.03%]
二次神经网络在高斯混合数据分类中的优越性研究
Tianrui Qi,Ge Wang
Tianrui Qi
To enrich the diversity of artificial neurons, a type of quadratic neurons was proposed previously, where the inner product of inputs and weights is replaced by a quadratic operation. In this paper, we demonstrate the superiority of such qu...