Results 81 to 90 of about 3,061 (275)
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
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 +3 more
wiley +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Efficient Dynamic Point Cloud Compression Through Adaptive Hierarchical Partitioning
Video-based Point Cloud Compression (V-PCC) is a dynamic point cloud coding standard that compresses 3D point clouds by projecting them into 2D frames, involving computationally intensive steps that can hinder real-time applications in augmented and ...
Faranak Tohidi +2 more
doaj +1 more source
Multiscale deep context modeling for lossless point cloud geometry compression
International audienceWe propose a practical deep generative approach for lossless point cloud geometry compression, called MSVoxelDNN, and show that it significantly reduces the rate compared to the MPEG G-PCC codec.
Dat Thanh Nguyen +7 more
core +1 more source
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi +13 more
wiley +1 more source
Influence-Based Quantization Method for Lifting Transform of G-PCC
Point cloud is one of the emerging 3D representations used in diverse applications. However, a point cloud typically comprises a huge amount of data; thus, compression is crucial for efficiently transmitting and storing.
Joohyung Byeon, Donggyu Sim
doaj +1 more source
Folding-based Compression of Point Cloud Attributes
International audienceExisting techniques to compress point cloud attributes leverage either geometric or video-based compression tools. We explore a radically different approach inspired by recent advances in point cloud representation learning.
Frederic Dufaux +5 more
core +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Short-range MEMS-based (Micro Electronical Mechanical System) LiDAR provides precise point cloud datasets for rock fragment surfaces. However, there is more vibrational noise in MEMS-based LiDAR signals, which cannot guarantee that the reconstructed ...
Lin Li, Huajun Wang, Sen Wang
doaj +1 more source
ABSTRACT The human body functions as a natural reactor for a vast network of chemical and biological reactions and physical interactions among small molecules, proteins, cells, and numerous other components. These reactions/interactions are essential for maintaining normal physiological functions.
Yuhao Cai, Chao Zhao
wiley +1 more source

