Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xiongjie Chen"'
Autor:
Yuanlong Wang, Chaoliang Li, Xiongjie Chen, Chenlong Zhang, Qi Jin, Guan Zhou, Chunyan Wang, Wanzhong Zhao
Publikováno v:
Materials & Design, Vol 232, Iss , Pp 112130- (2023)
With the increasing prominence and complexity of environmental noise problems, there is an urgent need for novel acoustic materials to meet noise reduction requirements. In this paper, two auxetic microstructures and three typical lattice microstruct
Externí odkaz:
https://doaj.org/article/da9cf45708e74f55aa2ee4354e487603
Publikováno v:
Journal of Advanced Transportation, Vol 2022 (2022)
Mixed traffic is a common phenomenon in urban environment. For the mixed traffic situation, the detection of traffic obstacles, including motor vehicle, non-motor vehicle, and pedestrian, is an essential task for intelligent and connected vehicles (I
Externí odkaz:
https://doaj.org/article/9af9c9df708c4406a3338d9bba0c9613
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. :095440702311741
Reliable and precise temperature prediction is one of the most crucial challenges for improving battery performance and preventing thermal runaway. This paper uses a highly adaptive Elman neural network (Elman-NN) to construct a temperature predictio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::231677e69932fd241e4ae389b25a600a
https://doi.org/10.1177/09544070231174118
https://doi.org/10.1177/09544070231174118
Publikováno v:
ICRA
Recent advances in incorporating neural networks into particle filters provide the desired flexibility to apply particle filters in large-scale real-world applications. The dynamic and measurement models in this framework are learnable through the di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de298a3f5b10d5fe74bd529aff946f40
https://doi.org/10.1109/icra48506.2021.9561889
https://doi.org/10.1109/icra48506.2021.9561889
Publikováno v:
Materials Science in Semiconductor Processing. 85:90-97
Photoelectrochemical (PEC) sensing using visible light has attracted great attention for high sensitivity with low undesired background noise. A CuO electrode with nanowires on Cu foil was synthesized by thermal oxidation and the devices was used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::481b7ffeb4ed277a57b9563f066e9bcb
https://doi.org/10.1016/j.mssp.2018.06.002
https://doi.org/10.1016/j.mssp.2018.06.002
Publikováno v:
Journal of Materials Science: Materials in Electronics. 27:9989-9995
The synthesis and characterization of SnO2 nanomaterials have been extensively studied as photoelectrodes for the potential applications in optoelectronic devices. In this work, SnO2 nanorods arrays have been synthesized by hydrothermal method on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cce412b173f2682f50f4bb3de411d3c
https://doi.org/10.1007/s10854-016-5069-1
https://doi.org/10.1007/s10854-016-5069-1
Publikováno v:
ROBIO
This paper aims to propose a convolutional neural network that can accurately estimate the density of pedestrians in crowd images, and analyze the primary factors that affect the performance of the network employed in crowd counting. In contrast to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38ead2d1551c5f1aa33fc22be880f187
https://doi.org/10.1109/robio.2018.8665037
https://doi.org/10.1109/robio.2018.8665037