Results 111 to 120 of about 14,098 (299)

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Scientific Visualization on Sparse Grids [PDF]

, 2000
this paper is to present two major visualization algorithms working directly on the sparse grid representation of the data set. One of them is interactive particle tracing, which continues to be an important utility for evaluating CFD simulations.
Th. Ertl, M. Hopf, Ch. Teitzel, Thomas Ertl, Christian Teitzel, Matthias Hopf   +5 more
core  

Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome

Advanced Science, EarlyView.
We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu, Shuhao Chen, Yunheng Diao, Wei Wang, Yuanyuan Huang, Liqin Liang, Xiaodan Lu, Rui Han, Minxin Guo, Zhaobo Li, Shuhong Wang, Hehua Li, Chenyu Liu, Jing Zhou, Dongsheng Xiong, Xiaobo Li, Yuping Ning, Xuetao Shi, Fengchun Wu, Kai Wu   +19 more
wiley   +1 more source

Scientific visualization on sparse grids [PDF]

, 2008
The ever growing size of data sets resulting from industrial and scientific simulations and measurements have created an enormous need for analysis tools allowing interactive visualization.
Christian Teitzel, et al.
core  

DOA Tracking Combining Compressive Sampling and Kalman Filtering for MIMO Radars Operating in Cluttered Environment

IEEE Access
Taking into account the off-grid effect and clutter, a tailored compressive sampling (CS)-based algorithm is developed to estimate the Direction of Arrival (DOA) in radars that use Multiple-Input Multiple-Output (MIMO) technology and operate at sub ...
Soheil Salari, Francois Chan
doaj   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

A Toolkit for Targeted Neuromodulation of Striatal Direct Pathway Neurons Rescues Parkinsonian Motor Deficits in Mice

Advanced Science, EarlyView.
An adeno‐associated virus (AAV) toolkit enables selective anatomical and functional targeting of striatal D1‐MSNs through retrograde transduction. Enhanced capsids and engineered enhancers drive robust transgene expression across murine and primate models.
Zexuan Hong, Yujing Zhang, Junjiao Zhang, Hanhe Liu, Qiwei Liu, Yanglei Li, Lixin Yang, Lixia Li, Zhongjie Liu, Zhen Yuan, Zhonghua Lu, Yefei Chen, Yuantao Li, Yuwu Jiang, Taian Liu   +14 more
wiley   +1 more source

Research on meteorological disaster prediction and early warning model based on sparse autoencoder technology in novel power system

Diance yu yibiao
Natural disasters and climatic factors are the main reasons for the unplanned outages of the novel power system. With the high proportion of renewable energy access and the digital upgrade of power grids, the sensitivity of the novel power system to ...
FANG Yuanqi, REN Maoxin, GE Naicheng, LI Haoyu, YANG Xiu   +4 more
doaj   +1 more source

SCNet: Subdivision Coding Network for Object Detection Based on 3D Point Cloud

IEEE Access, 2019
High-precision real-time 3D object detection based on the LiDAR point cloud is an important task for autonomous driving. Most existing methods utilize grid-based convolutional networks to handle sparse and cluttered point clouds. However, the performance
Zhiyu Wang, Hao Fu, Li Wang, Liang Xiao, Bin Dai   +4 more
doaj   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source