Results 111 to 120 of about 177,158 (279)
Light‐Induced Entropy for Secure Vision
Advanced Materials, EarlyView.This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo +9 more
wiley +1 more source
Advanced Materials, EarlyView.Metasurface‐engineered NC‐TENG arrays integrate tactile pressure mapping, non‐contact gesture sensing, and acoustic signal readouts in one ultrathin module, and outperforms pristine PDMS in terms of electrical output and real‐time spatial mapping for next‐gen wearables.
Injamamul Arief +12 more
wiley +1 more source
CoKE: Contextualized Knowledge Graph Embedding
, 2019 Knowledge graph embedding, which projects symbolic entities and relations into continuous vector spaces, is gaining increasing attention. Previous methods allow a single static embedding for each entity or relation, ignoring their intrinsic contextual nature, i.e., entities and relations may appear in different graph contexts, and accordingly, exhibit ...
Wang, Quan +8 more
openaire +2 more sources
DFedKG: Diffusion-Based Federated Knowledge Graph Completion
Data Science and EngineeringIn recent years, the task of knowledge graph completion has attracted significant attention from researchers. In practical scenarios, multi-source knowledge graph completion is quite common.
Chao Zhao +4 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.This study presents a novel platform for assessing the active mechanical behavior of living cardiac microbundles through localized nanoindentation, integrated with temperature regulation and dual‐camera imaging systems. The developed system enables quantitative evaluation of dynamic micromechanics in engineered cardiac tissues in vitro, offering ...
Lihua Lou +4 more
wiley +1 more source
DisenE: Disentangling Knowledge Graph Embeddings
, 2020 There are some mistakes in the ...
Kou, Xiaoyu +6 more
openaire +2 more sources
Incorporating GAN for Negative Sampling in Knowledge Representation Learning
, 2018 Knowledge representation learning aims at modeling knowledge graph by encoding entities and relations into a low dimensional space. Most of the traditional works for knowledge embedding need negative sampling to minimize a margin-based ranking loss ...
Li, Shuangyin, pan, Rong, Wang, Peifeng
core +1 more source
Advanced Materials Technologies, EarlyView.This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Convolutional 2D Knowledge Graph Embeddings
Proceedings of the AAAI Conference on Artificial Intelligence, 2018 Link prediction for knowledge graphs is the task of predicting missing relationships between entities. Previous work on link prediction has focused on shallow, fast models which can scale to large knowledge graphs. However, these models learn less expressive features than deep, multi-layer models — which potentially limits performance ...
Dettmers, Tim +3 more
openaire +3 more sources
Advanced Materials Technologies, EarlyView.Anodic aluminum oxide (AAO) membranes have traditionally served as structural supports in osmotic energy systems. Here, blind‐hole AAO membranes are demonstrated as active ion‐selective platforms with tunable nanopore structures. By balancing membrane resistance, ion selectivity, and flux, enhanced performance is achieved, delivering a maximum power ...
Khanh Nhien Vu +6 more
wiley +1 more source