The ability to accurately predict urban traffic flows is crucial for optimising city operations.Consequently,various methods for forecasting urban traffic have been developed,focusing on analysing historical data to u...
supported by the National Natural Science Foundation of China(Grant No.12332003);CIE-Tencent Robotics X Rhino-Bird Focused Research Program,and Zhejiang Provincial Natural Science Foundation of China(Grant No.LY23E050010).
In the past few decades,people have been trying to address the issue of walking instability in bipedal robots in uncertain environments.However,most control methods currently have still failed to achieve robust walkin...
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...
supported by National Key Research and Development Program of China(Grant No.2022ZD0119302);National Natural Science Foundation of China(Grant Nos.61925303,62173034,62088101,62303054,U20B2073).
This paper investigates the minimum-time trajectory planning problem of an autonomous vehicle.To deal with unknown and uncertain dynamics of the vehicle,the trajectory planning problem is modeled as a Markov decision ...
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...
supported by the National Natural Science Foundation of China(Grant Nos.12047503,11747601 and 12247104);the National Innovation Institute of Defense Technology(Grant No.22TQ0904ZT01025)。
Lateral predictive coding is a recurrent neural network that creates energy-efficient internal representations by exploiting statistical regularity in sensory inputs.Here,we analytically investigate the trade-off betw...
Respiratory diseases rank as the third leading cause of adult mortality[1],while cardiopulmonary and gastrointestinal issues are the primary cause of death within the first five years of a child’s life[2].The monitor...
Designing and optimizing complex scientific code for new computing architectures is a challenging task. To address this issue in the E3SM land model (ELM) development, we developed a software tool called SPEL, which f...