Results 91 to 100 of about 437,099 (249)
Anomaly Detection on Graph Time Series
, 2017 In this paper, we use variational recurrent neural network to investigate the anomaly detection problem on graph time series. The temporal correlation is modeled by the combination of recurrent neural network (RNN) and variational inference (VI), while ...
Hsu, Daniel
core
Gourd‐Inspired Design of Unit Cell with Multiple Gradients for Physiological‐Range Pressure Sensing
Advanced Functional Materials, EarlyView.Gourd‐shaped micro‐dome arrays with coordinated modulus, conductivity, and geometric gradients co‐optimize sensitivity and linearity in piezoresistive tactile sensors. Under pressure, a solid upper dome embeds into a porous lower dome, triggering rapid contact‐area growth and series‐to‐parallel conduction, enabling unsaturated, intensity‐resolved ...
Jiayi Xu +6 more
wiley +1 more source
The Graph Neural Network Model
IEEE Transactions on Neural Networks, 2009 Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper, we propose a new neural network model, called graph neural network (GNN) model, that extends existing neural ...
SCARSELLI, FRANCO +4 more
openaire +5 more sources
Novel Functional Materials via 3D Printing by Vat Photopolymerization
Advanced Functional Materials, EarlyView.This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov +3 more
wiley +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Continuously Evolution Streaming Graph Neural Network [PDF]
Jisuanji kexueStreaming graphs are widely used in practical applications,and their node and structure characteristics change dynamically with time.Although Graph Neural Network(GNN) is excellent in static graph node classification,it is difficult to apply it directly ...
GUO Husheng, ZHANG Xufei, SUN Yujie, WANG Wenjian
doaj +1 more source
Advanced Functional Materials, EarlyView.Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley +1 more source
Combining Syntactic Enhancement with Graph Attention Networks for Aspect-based Sentiment Classification [PDF]
Jisuanji kexueAspect-level sentiment classification aims to identify the emotional polarity of a given aspect text.In this field,the combination of graph neural network and syntactic dependency parsing is one of the current hot research directions.Based on the ...
ZHANG Zebao, YU Hannan, WANG Yong, PAN Haiwei
doaj +1 more source
Advanced Functional Materials, EarlyView.We present ultrathin flexible transparent electrodes through iCVD‐enabled molecular control of 10 nm gold films on poly(dimethylaminomethylstyrene). In vivo validation demonstrated photoelectric artifact reduction vs. opaque electrodes and preservation of natural neural dynamics.
Tae Jin Mun +11 more
wiley +1 more source
Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?
Advanced Functional Materials, EarlyView.This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee +7 more
wiley +1 more source