Results 241 to 250 of about 1,041,889 (332)

An aerial point cloud classification using point transformer via multi-feature fusion. [PDF]

Sci Rep
Pan J, Cao J, Xing S, Dai M, Liu J, Wang X, Zhang Y, Huang G.   +7 more
europepmc   +1 more source

Choline Ionic Liquid for Long‐Term Stable Organic Electrochemical Transistors

Advanced Materials, EarlyView.
Choline‐based ionic liquid integrated organic electrochemical transistors (Chol‐OECTs) for improvement of performance and prolonged lifetime is demonstrated. Introduction of the ionic liquid into PEDOT:PSS and gelatin creates choline acetate ionic liquid‐infused PEDOT:PSS (CLiPS) and choline acetate‐gelatin (CAGel) electrolyte.
Young Jin Jo, Yeong‐sinn Ye, Sungbin Choi, Ju Hwan Shin, Jong Uk Kim, Jehyung Ok, Tae‐il Kim   +6 more
wiley   +1 more source

Overlapping point cloud registration algorithm based on KNN and the channel attention mechanism. [PDF]

PLoS One
Chen Y, Guo F, Liu J, Dai S, Huang J, Cai X.   +5 more
europepmc   +1 more source

Graph kernels between point clouds [PDF]

, 2007
Francis Bach
openalex  

The Bionic Interface: Considering the Material Mediated Electrical Stimulation of Stem Cells

Advanced Materials, EarlyView.
Electrical stimulation directs stem cell fate in tissue engineering. Cellular responses are influenced by membrane properties, intrinsic cell state, material charge‐transport characteristics, and the applied electrical signal. Additionally, a material’s ability to inject, store, and redistribute charge further modulates these responses.
Kaiwen Zhang, Daniel De Maria, Mercyjayapriya Jebakumar, James Collins, Kate E. Fox, Peter C. Sherrell, Amy Gelmi   +6 more
wiley   +1 more source

DPCR-SLAM: A Dual-Point-Cloud-Registration SLAM Based on Line Features for Mapping an Indoor Mobile Robot. [PDF]

Sensors (Basel)
Cao Y, Ni J, Huang Y.
europepmc   +1 more source

Deep Learning Analysis of Solid‐Electrolyte Interphase Microstructures in Lithium‐Ion Batteries

Advanced Materials Interfaces, EarlyView.
A transformer‐based deep learning model is developed for segmenting and analyzing high‐resolution TEM images of the solid‐electrolyte interphase (SEI) in lithium‐ion batteries. The model is trained on DFT‐based simulated images and predicts SEI grain and grain boundaries, revealing key microstructural features that govern ion transport and degradation.
Ishraque Zaman Borshon, Vahid Jabbari, Todd A. Kingston, Reza Shahbazian‐Yassar, Vitaliy Yurkiv   +4 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