supported by the National Key R&D Program of China(No.2021YFC3001500).
Understanding how drivers perceive and respond to external stimuli in driving tasks is important for the development of advanced driving technologies and human-computer interaction.In this paper,we conducted a tempora...
funded by Fundamental Research Funds for the Central Universities(grant no.BLX202273);National Natural Science Foundation of China(grant nos.32301292 and 32271888).
Previous studies have demonstrated that associative learning and experience play important roles in the string-pulling of bumblebees(Bombus terrestris).However,the features of the target(artificial flower with sugar r...
Under the background of training practical compound talents in software engineering,this paper analyzes the problems existing in the current teaching of software engineering courses represented by software project man...
Project supported by the Academic and Technical Leaders and Backup Candidates Program of Anhui Province,China(No.2019h211);the Natural Science Foundation of Anhui Province,China(No.2208085ME128)。
Deep reinforcement learning has shown remarkable capabilities in visual tasks,but it does not have a good generalization ability in the context of interference signals in the input images;this approach is therefore ha...
supported in part by the National Natural Science Foundation of China(62203126);the Science and Technology Plan Project of Guangdong Province(2023A0505010014);the Innovation and Technology Commission of the HKSAR Government under the InnoHK Initiative,and in part by the Key Areas R&D Program of Dongguan City(20201200300062);the GDAS’Project of Science and Technology Development(2022GDASZH-2022010108).
Inspired by Model Predictive Interaction Control(MPIC),this paper proposes differential models for estimating contact geometric parameters and normal-friction forces and formulates an optimal control problem with mult...
1 Introduction In recent years,foundation Vision-Language Models(VLMs),such as CLIP[1],which empower zero-shot transfer to a wide variety of domains without fine-tuning,have led to a significant shift in machine learn...
supported by“Regional Innovation Strategy(RIS)”through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(MOE)(2023RIS-009).
In a cloud environment,graphics processing units(GPUs)are the primary devices used for high-performance computation.They exploit flexible resource utilization,a key advantage of cloud environments.Multiple users share...
Purpose:The purpose of this study is to serve as a comprehensive review of the existing annotated corpora.This review study aims to provide information on the existing annotated corpora for event extraction,which are ...
supported by grants from the National Research Foundation of Korea(NRF),funded by the Korean government(Grant Nos.NRF-2022R1A2B5B01001553 and NRF-2022R1A4A1033549);provided by an Institute of Information&Communications Technology Planning&Evaluation(IITP)grant,also funded by the Korean government(MSIT)under Grant No.RS-2022-00155915,for the project titled“Artificial Intelligence Convergence Innovation Hu-man Resources Development(Inha University).”
Human intelligence tasks(HITs),such as labeling images for machine learning,are widely utilized for crowdsourcing human knowledge.Centralized crowdsourcing platforms face challenges of a single point of failure and a ...
supported by the Sanming Project of Medicine in Shenzhen(No.SZSM202111001)。
Motion planning and control of autonomous mobile robots(AMRs)have attracted widespread attention in recent years.As the problem of aging intensifies,it is significant to develop AMRs for the wellbeing of old people.In...