Results 181 to 190 of about 997,464 (307)

Measurement of Maize Leaf Phenotypic Parameters Based on 3D Point Cloud. [PDF]

Sensors (Basel)
Su Y, Li R, Wang M, Li C, Ou M, Liu S, Hou W, Wang Y, Liu L.   +8 more
europepmc   +1 more source

A generic methodology for partitioning unorganised 3D point clouds for robotic vision

, 2004
Nicolas Loménie
openalex   +2 more sources

Synergistic Cathode‐Electrolyte Engineering for Enhanced Longevity in Li‐S Batteries

Advanced Materials, EarlyView.
Thanks to the synergism of abundant active sites and the superior catalytic effect of the uf‐MBene/CNT cathode host, along with uniform lithium ion deposition facilitated by adding Na2SeO3 additives, the cell with this S@uf‐MBene/CNT cathode and Na2SeO3 additive can maintain stable cycling for up to 850 cycles with a capacity retention rate of 93.6% at
Zhenfeng Li, Yue Li, Yue Fei, Pengcheng Li, Shin‐Yu Hung, Hao Zhang, Ge Li   +6 more
wiley   +1 more source

A point cloud segmentation network with hybrid convolution and differential channels. [PDF]

Sci Rep
Zhang X, Bu Y.
europepmc   +1 more source

Polyelectrolytes as a Stable and Tunable Platform for Triboelectric Nanogenerators

Advanced Materials, EarlyView.
Polyelectrolytes (PEs) are introduced as advanced materials for triboelectric nanogenerators, offering precise control over tribopolarity through selective ion fixation. The tunable triboelectric properties and reliable mechanical and thermal stability of PEs enable enhanced output performance and long‐term reliability, establishing a foundation for ...
Hyeonseo Joo, Sujin Park, Sujeong Gwak, Hyosik Park, Soyoung Kim, Cheoljae Lee, Wonho Lee, Ju‐Hyuck Lee   +7 more
wiley   +1 more source

Self-built dataset for better generalization in point cloud registration. [PDF]

Sci Data
Wang Q, Liang H, Xu J, Tu B, Chen P, Huang Y, Xing J.   +6 more
europepmc   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source

Non-Uniform Voxelisation for Point Cloud Compression. [PDF]

Sensors (Basel)
Van Hauwermeiren B, Denis L, Munteanu A.
europepmc   +1 more source

Fully Automatic Registration of 3D Point Clouds

, 2006
Ameesh Makadia, Alexander Patterson, Kostas Daniilidis   +2 more
openalex   +2 more sources

Automatic symmetry plane estimation of bilateral objects in point clouds [PDF]

, 2008
Benoît Combès, Robin J. Hennessy, John L. Waddington, Neil Roberts, S. Prima   +4 more
openalex   +1 more source