supported by the Korea Institute of Science and Technology(KIST)Institutional Program(Project No.2E32501-23-106);the National Research Foundation of Korea(NRF)grant funded by the Korea government(the Ministry of Science,ICT,MSIT)(RS-2022-00165524);the development of technologies for electroceuticals of National Research Foundation(NRF)funded by the Korean government(MSIT)(RS-2023-00220534);ICT Creative Consilience program through the Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(IITP-2024-2020-0-01819);Start up Pioneering in Research and Innovation(SPRINT)through the Commercialization Promotion Agency for R&D Outcomes(COMPA)grant funded by the Korea government(Ministry of Science and ICT)(1711198921).
Soft robots have partially or entirely provided versatile opportunities for issues or roles that cannot be addressed by conventional machine robots,although most studies are limited to designs,controls,or physical/mec...
supported by the National Key Research and Development Program of China under Grant(2024YFE0100400);Taishan Scholars Project Special Funds(tsqn202312035);the open research foundation of State Key Laboratory of Integrated Chips and Systems,the Tianjin Science and Technology Plan Project(No.22JCZDJC00630);the Higher Education Institution Science and Technology Research Project of Hebei Province(No.JZX2024024);Jinan City-University Integrated Development Strategy Project under Grant(JNSX2023017).
Sleep monitoring is an important part of health management because sleep quality is crucial for restoration of human health.However,current commercial products of polysomnography are cumbersome with connecting wires a...
supported by the National Key Research and Development Program of China No.2023YFB2705000.
With the rise of encrypted traffic,traditional network analysis methods have become less effective,leading to a shift towards deep learning-based approaches.Among these,multimodal learning-based classification methods...
funded by the Centre for Advanced Modelling and Geospatial Information Systems(CAMGIS),Faculty of Engineering and IT,University of Technology Sydney;supported by the Researchers Supporting Project,King Saud University,Riyadh,Saudi Arabia,under Project RSP2025 R14.
Electronic nose and thermal images are effective ways to diagnose the presence of gases in real-time realtime.Multimodal fusion of these modalities can result in the development of highly accurate diagnostic systems.T...
supported by Communication University of China(HG23035);partly supported by the Fundamental Research Funds for the Central Universities(CUC230A013).
With the rapid growth of socialmedia,the spread of fake news has become a growing problem,misleading the public and causing significant harm.As social media content is often composed of both images and text,the use of...
With the advancements in parameter-efficient transfer learning techniques,it has become feasible to leverage large pre-trained language models for downstream tasks under low-cost and low-resource conditions.However,ap...
Supported by Guangzhou Municipal Science and Technology Bureau,No.SL2024AD3JD0112.
BACKGROUND Boerhaave syndrome,or spontaneous esophageal rupture,is a rare and lifethreatening emergency,typically caused by a sudden increase in esophageal pressure due to violent coughing or vomiting.Early diagnosis ...
funding partly by the National Natural Science Foundation of China under grant number 61701179.
Sarcasm detection in Natural Language Processing(NLP)has become increasingly important,partic-ularly with the rise of social media and non-textual emotional expressions,such as images.Existing methods often rely on se...
Background The annotation of fashion images is a significantly important task in the fashion industry as well as social media and e-commerce.However,owing to the complexity and diversity of fashion images,this task en...
supported by the National Natural Science Foundation of China under Grant 62107034;the Major Science and Technology Project of Yunnan Province(202402AD080002);Yunnan International Joint R&D Center of China-Laos-Thailand Educational Digitalization(202203AP140006).
The task of student action recognition in the classroom is to precisely capture and analyze the actions of students in classroom videos,providing a foundation for realizing intelligent and accurate teaching.However,th...