funded within the QuantERA II Program(project CVSTAR)and has received funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No.731473 and 101017733;from the European Union’s Digital Europe program under Grant Agreement No.101091659(QCI.DK);from the European Union’s Horizon Europe research and innovation program under the project“Quantum Security Networks Partnership”(QSNP,Grant Agreement No.101114043);support from Innovation Fund Denmark(CryptQ,0175-00018A);the Danish National Research Foundation,Center for Macroscopic Quantum States(bigQ,DNRF142);funding from the Carlsberg Foundation,project CF21-0466;support from the project 22-28254O of the Czech Science Foundation.R.F.acknowledges project 21-13265X of the Czech Science Foundation;project CZ.02.01.01/00/22_008/0004649(QUEENTEC)of the Czech MEYS.V.C.U.acknowledges the project 21-44815L of the Czech Science Foundation。
To establish a scalable and secure quantum network,a critical milestone is advancing from basic point-to-point quantum key distribution(QKD)systems to the development of inherently multi-user protocols designed to max...
Technical and accessibility issues in hospitals often prevent patients from receiving optimal mental and physical health care,which is essential for independent living,especially as societies age and chronic diseases ...
Supported by the National Natural Science Foundation of China(62072334).
The hands and face are the most important parts for expressing sign language morphemes in sign language videos.However,we find that existing Continuous Sign Language Recognition(CSLR)methods lack the mining of hand an...
Supported by National Natural Science Foundation of China (Grant No.12302177);Guangdong Provincial Basic and Applied Basic Research Foundation of China (Grant No.2024A1515010203);Shenzhen Science and Technology Program of China (Grant No.JCYJ20230807093602005);Shenzhen Key Laboratory of Intelligent Manufacturing for Continuous Carbon Fibre Reinforced Composites of China (Grant No.ZDSYS20220527171404011)。
In order to predict the damage behaviours of 3D-printed continuous carbon fibre(CCF)reinforced composites,when additional short carbon fibre(SCF)composite components are employed for continuous printing or special fun...
Video understanding and content boundary detection are vital stages in video recommendation.However,previous content boundary detection methods require collecting information,including location,cast,action,and audio,a...
Quantum computation (QC) offers the promise of enhanced computational capabilities and drastic accelerations in solving complex tasks such as quantum chemistry^([1,2])and prime factorization.^([3])Various physical imp...
supported by the Key Research&Development Plan Project of Shandong Province,China(No.2017GGX10127).
Continuous sign language recognition(CSLR)is challenging due to the complexity of video background,hand gesture variability,and temporal modeling difficulties.This work proposes a CSLR method based on a spatialtempora...
Implementations of metadata tend to favor centralized,static metadata.This depiction is at variance with the past decade of focus on big data,cloud native architectures and streaming platforms.Big data velocity can de...
This work performed at the Center for Nanoscale Materials,a U.S.Department of Energy Office of Science User Facility,was supported by the U.S.DOE,Office of Basic Energy Sciences,under Contract No.DE-AC02-06CH11357;This material is based on work supported by the DOE,Office of Science,BES Data,Artificial Intelligence,and Machine Learning at DOE Scientific User Facilities program(ML-Exchange).S.K.R.S.would also like to acknowledge the support from the UIC faculty start-up fund.This research used resources of the National Energy Research Scientific Computing Center(NERSC),a US Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory,operated under Contract No.DE-AC02-05CH11231;The authors(SKRS and TDL)would like to acknowledge the Air Force Office of Scientific Research(AFOSR)for funding this research under Award#FA9550-20-1-0332,with Dr.Chipping Li as the program manager.
Material properties share an intrinsic relationship with their structural attributes,making inverse design approaches crucial for discovering new materials with desired functionalities.Reinforcement Learning(RL)approa...
funded by the National Natural Science Foundation of China(No.61773182);the 111 Project(B12018).
This paper studies the parameter estimation problems of the nonlinear systems described by the bilinear state space models in the presence of disturbances.A bilinear state observer is designed for deriving identificat...