Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Lili PEI"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5757 (2024)
To enhance the detection of pavement-sealed cracks and ensure the long-term stability of pavement performance, a novel approach called the shuffle attention-based pavement-sealed crack detection is proposed. This method consists of three essential co
Externí odkaz:
https://doaj.org/article/9836b980128249faba6ca65835985794
Autor:
Fangli Chen, Limin Zhao, Yuanmei Zhai, Lili Pei, Tinghua Zhang, Zhizhi Zhang, Yingting Lu, Beibei Qu, Jing Zhang, Xuewei Jiang, LI Yang, Ligen Liu
Publikováno v:
HemaSphere, Vol 7, p e4647499 (2023)
Externí odkaz:
https://doaj.org/article/61d76749d5444e99a329cbd0f74b8691
Autor:
Ying Guo, Lili Pei, Yuzheng Li, Chunde Li, Songbai Gui, Ming Ni, Pinan Liu, Yazhuo Zhang, Liyong Zhong
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
BackgroundCraniopharyngioma is a benign tumor originating from the sellar region. Damages in this area caused by the tumor itself, surgery, or radiotherapy may result in severe hypothalamic-pituitary dysfunction (HPD) and eventually lead to a signifi
Externí odkaz:
https://doaj.org/article/711b861d96e147c8a178d4e7d2307c20
Publikováno v:
IET Intelligent Transport Systems, Vol 16, Iss 5, Pp 675-690 (2022)
Abstract Short‐term forecasting of traffic flow is an indispensable part of easing traffic pressure. Considering that different traffic flow patterns will affect the short‐term traffic flow prediction results, a combined method based on the K‐m
Externí odkaz:
https://doaj.org/article/4646eb43dad647e49ed1084df5d316f0
Publikováno v:
Sensors, Vol 23, Iss 7, p 3772 (2023)
To solve the problem of low accuracy of pavement crack detection caused by natural environment interference, this paper designed a lightweight detection framework named PCDETR (Pavement Crack DEtection TRansformer) network, based on the fusion of the
Externí odkaz:
https://doaj.org/article/aef4bd69e6ab455e8f6fc05135d6b64e
Publikováno v:
Sensors, Vol 22, Iss 23, p 9092 (2022)
A super-resolution reconstruction approach based on an improved generative adversarial network is presented to overcome the huge disparities in image quality due to variable equipment and illumination conditions in the image-collecting stage of intel
Externí odkaz:
https://doaj.org/article/b5a3081be3a6402ba522440f2dccc842
Publikováno v:
Symmetry, Vol 14, Iss 11, p 2470 (2022)
To address the problem that traditional models are not effective in predicting atmospheric temperature, this paper proposes an atmospheric temperature prediction model based on symmetric BiLSTM (bidirectional long short-term memory)-Attention model.
Externí odkaz:
https://doaj.org/article/cd0002cacc32493382a881ffcfff76d6
Publikováno v:
Sensors, Vol 22, Iss 10, p 3959 (2022)
Car crashes are among the top ten leading causes of death; they could mainly be attributed to distracted drivers. An advanced driver-assistance technique (ADAT) is a procedure that can notify the driver about a dangerous scenario, reduce traffic cras
Externí odkaz:
https://doaj.org/article/719af0a7ddb24e1b9c374b08c55642c7
Publikováno v:
Symmetry, Vol 14, Iss 4, p 687 (2022)
It is critical for intelligent vehicles to be capable of monitoring the health and well-being of the drivers they transport on a continuous basis. This is especially true in the case of autonomous vehicles. To address the issue, an automatic system i
Externí odkaz:
https://doaj.org/article/a1eca2d222b944c78ee2eb912eee0bdb
Publikováno v:
Symmetry, Vol 14, Iss 2, p 349 (2022)
Traditional aggregate particle size detection mainly relies on manual batch sieving, which is time-consuming and inefficiency. To achieve rapid automatic detection of aggregate particle sizes, a mechanical symmetric classification model of coarse agg
Externí odkaz:
https://doaj.org/article/7fbc0db09b594ff8ac7016b05f6a08a4