Results 111 to 120 of about 38,453 (306)

A Wi-Fi sensing method for complex continuous human activities based on CNN-BiGRU

物联网学报, 2023
Human activity sensing based on Wi-Fi channel state information (CSI) has an important application prospect in future intelligent interaction scenarios such as virtual reality, intelligent games, and the metaverse.Accurate sensing of complex and ...
Yang LIU, Anming DONG, Jiguo YU, Kai ZHAO, You ZHOU   +4 more
doaj   +2 more sources

Text sentiment analysis and classification based on bidirectional Gated Recurrent Units (GRUs) model

Applied and Computational Engineering
This paper explores the importance of text sentiment analysis and classification in the field of natural language processing, and proposes a new approach to sentiment analysis and classification based on the bidirectional gated recurrent units (GRUs) model.
Xu, Wei, Chen, Jianlong, Ding, Zhicheng, Wang, Jinyin   +3 more
openaire   +2 more sources

Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy

Advanced Science, EarlyView.
Ionic–bionic interfaces for bioelectronics leverage ions as multifunctional mediators that combine mechanical compliance, ionic and electronic functionalities, and therapeutic effects. These systems offer real‐time biosignal transduction, effective wound dressing, responsive drug delivery, and seamless interaction between soft tissues and electronic ...
Yun Goo Ro, Yoojin Chang, Jeeyoon Kim, Seungjae Lee, Sangyun Na, Cheolhong Park, Hyunhyub Ko   +6 more
wiley   +1 more source

A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices

Mathematics
In this article, we introduce a novel deep learning hybrid model that integrates attention Transformer and gated recurrent unit (GRU) architectures to improve the accuracy of cryptocurrency price predictions.
Esam Mahdi, Carlos Martin-Barreiro, Xavier Cabezas   +2 more
doaj   +1 more source

Stimuli‐Responsive Supramolecular Biomaterials for Cancer Theranostics

Advanced Science, EarlyView.
The ultimate goal of cancer theranostics is to get imaging agents and therapeutic cargo to tumor sites when and where they are required. “Smart” systems should be developed. This review discusses the characteristics of physiological stimuli, types and action modes of external stimuli, construction approaches and working principles, as well as ...
Wenting Hu, Binglin Ye, Guocan Yu, Feihe Huang, Zhengwei Mao   +4 more
wiley   +1 more source

Multiple Range-Restricted Bidirectional Gated Recurrent Units with Attention for Relation Classification

, 2017
6 pages, 1 ...
Kim, Jonggu, Lee, Jong-Hyeok
openaire   +2 more sources

Extracting drug–drug interactions with hybrid bidirectional gated recurrent unit and graph convolutional network

Journal of Biomedical Informatics, 2019
Drug-drug interactions are critical in studying drug side effects. Thus, quickly and accurately identifying the relationship between drugs is necessary. Current methods for biomedical relation extraction include only the sequential information of sentences, while syntactic graph representations have not been explored in DDI extraction.
Di Zhao, Jian Wang, Hongfei Lin, Zhihao Yang, Yijia Zhang   +4 more
openaire   +2 more sources

A Tangentially Sensitive Tactile Sensor Reveals the Stick‐Slip Mechanism and Enhances Robotic Tactile Sensing

Advanced Science, EarlyView.
An ultralight, multilayer anisotropic tactile sensor—an artificial Pacinian corpuscle—exhibits ultrahigh tangential sensitivity (1022 kPa−1) and spatiotemporal sensing. It discriminates static, sliding, and rolling contacts, detects incipient stick–slip via high‑frequency signatures, and enhances robotic touch (100%/98.18% accuracy for active/passive ...
Jinghui Wang, Xiaoyu Liu, Yujiao Du, Yepu Chen, Jieyi Guo, Linyuan Fan, Min Tang, Xiaofeng Qiao, Yuanjie Zhu, Zhiyang Zhang, Chaojie Dong, Lizhen Wang, Yubo Fan   +12 more
wiley   +1 more source

BiGKbhb: a bi-directional gated recurrent unit model for predicting lysine β-hydroxybutyrylation sites

BMC Genomics
Post-Translational Modifications (PTMs) are covalent chemical alterations that occur after protein synthesis, critically regulating protein function, localization, and interactions.
Heba M. Elreify, Fathi E. Abd El-Samie, Moawad I. Dessouky, Hanaa Torkey, Said E. El-Khamy, Wafaa A. Shalaby   +5 more
doaj   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source