Results 101 to 110 of about 55,011 (275)

Multi-Task Joint Learning Model for Chinese Word Segmentation and Syndrome Differentiation in Traditional Chinese Medicine. [PDF]

Int J Environ Res Public Health, 2022
Hu C, Zhang S, Gu T, Yan Z, Jiang J.
europepmc   +1 more source

Printable Liquid Metal‐Textiles for Deformation‐Insensitive and Electromagnetically Robust mmWave Devices

Advanced Science, EarlyView.
We present a textile‐compatible, self‐healing liquid metal ink and a dual‐mask printing technique for high‐resolution patterning. Using this approach, we demonstrate high‐performance millimeter‐wave (mmWave) electronic textiles that exhibit exceptional insensitivity to deformation.
Lu Ju, Buyun Yu, Rui Wang, Hao Chen, Kexin Hou, Chao Zhang, Mingyang Geng, Yunqian Dai, Yingying Zhang, Ying‐Shi Guan, Cunjiang Yu, Wei‐Bing Lu   +11 more
wiley   +1 more source

Unleashing the power of pinyin: promoting Chinese named entity recognition with multiple embedding and attention

Complex & Intelligent Systems
Named Entity Recognition (NER) aims to identify entities with specific meanings and their boundaries in natural language texts. Due to the differences between Chinese and English language families, Chinese NER faces challenges such as ambiguous word ...
Jigui Zhao, Yurong Qian, Shuxiang Hou, Jiayin Chen, Kui Wang, Min Liu, Aizimaiti Xiaokaiti   +6 more
doaj   +1 more source

Robust Chinese Word Segmentation with Contextualized Word Representations

, 2019
6 pages, 1 ...
openaire   +2 more sources

Binary Tree based Chinese Word Segmentation

, 2013
Chinese word segmentation is a fundamental task for Chinese language processing. The granularity mismatch problem is the main cause of the errors. This paper showed that the binary tree representation can store outputs with different granularity. A binary tree based framework is also designed to overcome the granularity mismatch problem.
Zhang, Kaixu, Wang, Can, Sun, Maosong
openaire   +2 more sources

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Transcriptomic and Neuroimaging Decoding of Brain‐Immune Crosstalk in Thyroid Eye Disease

Advanced Science, EarlyView.
This study employed an imaging transcriptomics framework integrating resting‐state fMRI with Allen Human Brain Atlas transcriptomic data, coupled with peripheral blood RNA sequencing, to decode brain‐immune crosstalk in thyroid eye disease. Frontal, parietal, subcortical, and brainstem regions were identified as key neuroimmune‐ vulnerable regions ...
Haiyang Zhang, Yuting Liu, Shufan Jiang, Zilin Fang, Mengda Jiang, Xiaofeng Tao, Tianyi Zhu, Jipeng Li, Sijie Fang, Xuefei Song, Yinwei Li, Jing Sun, Chuanjun Tong, Zhengrun Gao, Huifang Zhou, Xianqun Fan   +15 more
wiley   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Development and Application of an Ancient Chinese Sentence Segmentation System Based on Active Learning

Tūzī yǔ dàng’àn xuékān, 2019
This study aims to develop a sentence segmentation system of ancient Chinese texts based on active learning. It is expected that through the human-machine cooperation mode, the training corpus needed to establish a model for automated ancient Chinese ...
Chih-Fan Hsu, Chung Chang
doaj   +1 more source