Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Zhaopeng Meng"'
Autor:
Wei Luo, Guoqing Zhang, Quanbo Yuan, Yongxiang Zhao, Hongce Chen, Jingjie Zhou, Zhaopeng Meng, Fulong Wang, Lin Li, Jiandong Liu, Guanwu Wang, Penggang Wang, Zhongde Yu
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/c4c78bb67c42414cb7aa97239cc0e8b5
Publikováno v:
Agriculture, Vol 14, Iss 5, p 784 (2024)
Crop yield estimation plays a crucial role in agricultural production planning and risk management. Utilizing simultaneous localization and mapping (SLAM) technology for the three-dimensional reconstruction of crops allows for an intuitive understand
Externí odkaz:
https://doaj.org/article/a38692c3b9704ea1bdc8d568970aef08
Publikováno v:
CAAI Artificial Intelligence Research, Vol 2, p 9150020 (2023)
Offline reinforcement learning (RL) is a data-driven learning paradigm for sequential decision making. Mitigating the overestimation of values originating from out-of-distribution (OOD) states induced by the distribution shift between the learning po
Externí odkaz:
https://doaj.org/article/ace2a8fc5bac4e3d968ecf37c7122364
Publikováno v:
IEEE Access, Vol 8, Pp 112348-112356 (2020)
Passive reconstruction methods such as traditional multi-view stereo are capable to accurate reconstruction results. However, the depth calculation of multi-view stereo encounters significant difficulties, especially when the corresponding points hav
Externí odkaz:
https://doaj.org/article/9cdd008f64374dc0850fbccc814b1e42
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Automatic extraction of liver and tumor from CT volumes is a challenging task due to their heterogeneous and diffusive shapes. Recently, 2D deep convolutional neural networks have become popular in medical image segmentation tasks because of the util
Externí odkaz:
https://doaj.org/article/4d387d15936740dbbe066027e63f9c0f
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Gene selection algorithm in micro-array data classification problem finds a small set of genes which are most informative and distinctive. A well-performed gene selection algorithm should pick a set of genes that achieve high performance and the size
Externí odkaz:
https://doaj.org/article/eb6d0d72a3064fb28637be10751d4020
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Gliomas have the highest mortality rate and prevalence among the primary brain tumors. In this study, we proposed a supervised brain tumor segmentation method which detects diverse tumoral structures of both high grade gliomas and low grade gliomas i
Externí odkaz:
https://doaj.org/article/e4ddf723e44d4b888dd280bfa09a6d76
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 14 (2018)
With the explosive growth of vehicles on the road, traffic congestion has become an inevitable problem when applying guidance algorithms to transportation networks in a busy and crowded city. In our study, the authors proposed an advanced prediction
Externí odkaz:
https://doaj.org/article/f6d4b093c89542a4aa63910c10e045c0
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 15 (2018)
Motion model and model updater are two necessary components for online visual tracking. On the one hand, an effective motion model needs to strike the right balance between target processing, to account for the target appearance and scene analysis, a
Externí odkaz:
https://doaj.org/article/f28caae9f410429d9767e524ce3c047b
Publikováno v:
Sensors, Vol 15, Iss 9, Pp 22364-22377 (2015)
Neighbor discovery and the power of sensors play an important role in the formation of Wireless Sensor Networks (WSNs) and mobile networks. Many asynchronous protocols based on wake-up time scheduling have been proposed to enable neighbor discovery a
Externí odkaz:
https://doaj.org/article/658628b699db40bfb1b669335e9d92a3