Results 161 to 170 of about 5,483,449 (298)

The UEDIN English ASR System for the IWSLT 2013 Evaluation [PDF]

, 2013
This paper describes the University of Edinburgh (UEDIN) English ASR system for the IWSLT 2013 Evaluation. Notable features of the system include deep neural network acoustic models in both tandem and hybrid configuration, cross-domain adaptation with ...
Renals, Steve, Birch, Alexandra, McInnes, Fergus, Bell, Peter, Gangireddy, Siva Reddy, Sinclair, Mark   +5 more
core  

Large‐Area Noise‐Resilient Multiplexing Triboelectric Biomechanical Sensing on Clothing for High‐Precision Full‐Body Motion Capture in Wearables

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, Ming‐Han Lu, Wei‐Chen Peng, Wei‐Chun Yang, Yi‐Ting Chen, Jiun‐Wei Fong, Tzu‐Ching Lu, Tai‐Chen Wu, Zhi‐Xian Yan, Kai‐Yuan Hsiao, Jiann‐Yeu Chen, Ming‐Yen Lu, Heng‐Jui Liu, Ruiyuan Liu, Ying‐Chih Lai   +14 more
wiley   +1 more source

Blind Interleaver Recognition Using Deep Learning Techniques

IEEE Access
In digital communication systems, channel encoders and interleavers play a crucial role in mitigating the random and burst errors introduced by noisy channels.
Nayim Ahamed, Swaminathan R., B. Naveen
doaj   +1 more source

Senkyunolide I Inhibits mtDNA‐cGAS‐STING Signaling in Macrophages via Targeting VDAC1 Oligomerization to Attenuate Ulcerative Colitis

Advanced Science, EarlyView.
In macrophages, senkyunolide I (SEI) directly targets the K12 residue of VDAC1 to inhibit its stress‐induced oligomerization, a critical upstream event that effectively prevents mitochondrial DNA release and subsequent cGAS‐STING pathway activation.
Zhiming Ye, Yihang Huang, Bohao Han, Lei Zhang, Can Yu, Yang Yang, Bing Liu, Yongping Jian, Zhixiang Xu, Cheng Zeng   +9 more
wiley   +1 more source

Robust Stitching Interface and Deep Learning Empowered Hydrogel Human‐Machine Interface

Advanced Science, EarlyView.
A molecular design strategy is presented that exploits synergistic carboxylate anion–quaternary ammonium interactions to simultaneously strengthen the hydrogel–PET interface and the bulk hydrogel network. Integrated with deep learning signal processing, the stable hydrogel–PET interface enables consistent signal acquisition and reliable human‐machine ...
Hao Dong, Yiming Luo, Chuanliu Liu, Mahamood Modupe Rasheedat, Wenjiayi Tan, Fangyu Zhao, Yixue Zhang, Chris Connor, Hua Hou, Hamdy Khamees Thabet, Ben Bin Xu, Huige Wei   +11 more
wiley   +1 more source

Battery‐Inspired Electrochemical Synapses for Neuromorphic Applications

Advanced Science, EarlyView.
Battery‐ion‐inspired synaptic devices integrate diverse electrolyte systems (solid, ion‐gel, liquid) with transition metal oxides, two‐dimensional materials, and organic channels to regulate ion‐electron coupling. By tailoring ion transport and host interactions, these platforms enable controllable plasticity and energy‐efficient implementations for ...
Won Woo Lee, SeongCheol Jang, Wangmyung Choi, Jaewon Park, Jaehyun Hur, Hocheon Yoo, Hyun‐Suk Kim   +6 more
wiley   +1 more source

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source

Multi-dimensional framework for context-aware IDS selection in edge-IIoT

Discover Artificial Intelligence
The rapid expansion of Industrial Internet of Things networks has increased the demand for intrusion detection systems that balance accuracy, efficiency, and cost. Most studies have focused on accuracy alone, ignoring practical deployment trade-offs.
Raj Kumar Batchu, Sai Kousik Padarthi, Rishitha Nandanapu, Nihal Pandey, Rahul Malineni, Chin-Shiuh Shieh   +5 more
doaj   +1 more source

Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media

Advanced Science, EarlyView.
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley   +1 more source