Results 111 to 120 of about 5,698,498 (295)
Advanced Science, EarlyView.This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang +10 more
wiley +1 more source
Groundwater Rise Sustains the World's Largest Alpine Water System Under Global Warming
Advanced Science, EarlyView.Shallow groundwater depth (SGWD) across the non‐permafrost plains of the Qinghai–Xizang Plateau decreased at averagely 0.02 m year−1, adding 31.44 Gt of freshwater storage from 2000 to 2020 and sustaining ∼53 500 km2 of alpine ecosystems. A vadose‐zone capacity of 426.6 Gt reveals these aquifers as promising reservoirs, highlighting groundwater's ...
Jianqing Du +15 more
wiley +1 more source
Low Frequency Ultrasonic Voice Activity Detection using Convolutional Neural Networks [PDF]
Low frequency ultrasonic mouth state detection uses reflected audio chirps from the face in the region of the mouth to determine lip state, whether open, closed or partially open.
Song, Yan, McLoughlin, Ian Vince
core
Text classification problems via BERT embedding method and graph convolutional neural network
, 2022 This paper presents the novel way combining the BERT embedding method and the graph convolutional neural network. This combination is employed to solve the text classification problem.
Mai, An, Tran, Loc Hoang, Tran, Tuan
core
Advanced Science, EarlyView.Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
A Relationship-Aware Feature Update Method for Enhanced Graph-Based Neural Networks
IEEE AccessThis paper presents a novel feature update method that leverages the relationships among batch elements, addressing scenarios both with and without an external graph.
Conggui Huang
doaj +1 more source
Advanced Science, EarlyView.A large‐area, noise‐resilient multiplexed triboelectric sensing garment based on a multilayer shielded architecture and SnS2 nanoflower‐engineered hybrid materials enables interference‐suppressed, high‐fidelity full‐body motion tracking, achieving 0.13% signal misrecognition, 57 dB electromagnetic noise attenuation, and >1.5 N threshold force, while ...
Beibei Shao +14 more
wiley +1 more source
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Transactions of the Association for Computational Linguistics, 2019 We focus on graph-to-sequence learning, which can be framed as transducing graph structures to sequences for text generation. To capture structural information associated with graphs, we investigate the problem of encoding graphs using graph ...
Guo, Zhijiang +3 more
doaj +1 more source
Quantization in Graph Convolutional Neural Networks
2021 29th European Signal Processing Conference (EUSIPCO), 2021 Saad, Leila Ben +1 more
openaire +2 more sources
Hierarchical Line Graph Neural Network: A Study on Alternative Representations of Graph-Structured Data [PDF]
openThis thesis addresses the challenge of feature-smoothing common in deep graph neural networks (GNNs), a topic of considerable interest over the past decade.
MOHAMMADI, SOLMAZ
core