Results 81 to 90 of about 6,185,560 (237)

Early coding unit termination algorithm for video-based dynamic point cloud compression

Frontiers in Physics
The widespread application of dynamic point clouds is currently hindered by the immense computational complexity of the Video-based Point Cloud Compression (V-PCC) standard.
Tao Tian, Wei Liu, Zhanfeng Wang, Liangfen Wei, Rantian Li   +4 more
doaj   +1 more source

Static 3D Triangle Mesh Compression Overview [PDF]

, 2008
3D triangle meshes are extremely used to model discrete surfaces, and almost always represented with two tables: one for geometry and another for connectivity.
Marcos Aviles, Avilés Rodrigálvarez, Marcos, Morán Burgos, Francisco, Francisco Moran   +3 more
core   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

A Lightweight Multi-3D-Memory Extension for RGB-3D Industrial Anomaly Detection via Transformer Compression

IEEE Access
Industrial anomaly detection needs models that localize subtle defects while remaining efficient for inspection pipelines. Red-green-blue (RGB) images provide appearance cues, whereas 3D point clouds provide geometry cues, making RGB-3D methods such as ...
Han Zhang
doaj   +1 more source

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

Advanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

Efficient Inter-Prediction Method Using Reference Frame Accumulation for MPEG G-PCC

IEEE Access
This paper presents a novel hybrid reference frame generation method to enhance the inter-prediction performance of geometry-based point cloud compression (G-PCC), a recent point cloud coding standard developed by the moving picture experts group (MPEG ...
Xin Li, Eun-Young Chang, Jihun Cha, Euee S. Jang   +3 more
doaj   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Optimized quantization parameter selection for video-based point cloud compression

Frontiers in Signal Processing
Point clouds are sets of points used to visualize three-dimensional (3D) objects. Point clouds can be static or dynamic. Each point is characterized by its 3D geometry coordinates and attributes such as color.
Hui Yuan, Raouf Hamzaoui, Ferrante Neri, Shengxiang Yang, Xin Lu, Linwei Zhu, Yun Zhang   +6 more
doaj   +1 more source

Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention

, 2022
Although convolutional representation of multiscale sparse tensor demonstrated its superior efficiency to accurately model the occupancy probability for the compression of geometry component of dense object point clouds, its capacity for representing ...
Wang, Jianqiang, Xue, Ruixiang, Ma, Zhan
core  

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source