Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Mengjia Qi"'
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4361 (2023)
Solar-induced chlorophyll fluorescence (SIF) has been found to be a useful indicator of vegetation’s gross primary productivity (GPP). However, the directional SIF observations obtained from a canopy only represent a portion of the total fluorescen
Externí odkaz:
https://doaj.org/article/efa040701e6d4ca3a280d7a55185b072
Publikováno v:
Advanced Manufacturing and Automation XII ISBN: 9789811993374
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ad75de632fff62bed334cb5c9b6d756
https://doi.org/10.1007/978-981-19-9338-1_71
https://doi.org/10.1007/978-981-19-9338-1_71
Publikováno v:
2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
In order to meet the high requirements of the shop management system for device data-aware interaction, in the traditional data-aware mode, this paper proposes a development platform based on Kepware as a perceptual software, through the combination
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43495f6566ee9848a2f4bff55d89395e
https://doi.org/10.1109/ihmsc.2019.00009
https://doi.org/10.1109/ihmsc.2019.00009
Publikováno v:
2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
Digital Twin (DT) has become the best link to connect the manufacturing physical world and the digital virtual world, and is an effective technical means to realize the interaction and integration between the physical world and the information world.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cf0f63454650ee0713a723d336a5377
https://doi.org/10.1109/itaic.2019.8785552
https://doi.org/10.1109/itaic.2019.8785552
Autor:
Mengjia Qian, Chang Li, Miaomiao Zhang, Yanxia Zhan, Bijun Zhu, Lingyan Wang, Qi Shen, Lei Yue, Hao Chen, Yunfeng Cheng
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 13 (2023)
BackgroundBlood is a common sample source for metagenomics next-generation sequencing (mNGS) in clinical practice. In this study, we aimed to detect the diagnostic value of blood mNGS in a large real-world cohorts.MethodsBlood mNGS results of 1,046 c
Externí odkaz:
https://doaj.org/article/f69794f134ed4e259c0c9048b60ab3b9
Publikováno v:
Clinical and Translational Discovery, Vol 3, Iss 4, Pp n/a-n/a (2023)
Abstract Background The multidisciplinary team (MDT) of precision medicine refers to an expert group composed of experts from multiple disciplines, which uses the concept of precision medicine to regularly discuss related diseases, in order to solve
Externí odkaz:
https://doaj.org/article/786497e7fd2d44929d867cc559b48500
Publikováno v:
Clinical and Translational Discovery, Vol 3, Iss 4, Pp n/a-n/a (2023)
Abstract Background Tumour gene detection by next‐generation sequencing (NGS) can comprehensively analyze the molecular characteristics of tumors, and predict drug efficacy and tumor resistance mechanisms through tumour cell models, thereby realizi
Externí odkaz:
https://doaj.org/article/f199928db5624a48bea1bb55072796e3
Autor:
Jing Chang, Xiaohui He, Panle Li, Ting Tian, Xijie Cheng, Mengjia Qiao, Tao Zhou, Beibei Zhang, Ziqian Chang, Tingwei Fan
Publikováno v:
Sensors, Vol 24, Iss 3, p 1010 (2024)
The precise building extraction from high-resolution remote sensing images holds significant application for urban planning, resource management, and environmental conservation. In recent years, deep neural networks (DNNs) have garnered substantial a
Externí odkaz:
https://doaj.org/article/8366dbb1470249bca237e7bd6059a4e6
Publikováno v:
Frontiers in Oncology, Vol 12 (2023)
Externí odkaz:
https://doaj.org/article/7a3d125ed45249338fa530cf905a89c8
Autor:
Panle Li, Zhihui Tian, Xiaohui He, Mengjia Qiao, Xijie Cheng, Dingjun Song, Mingyang Chen, Jiamian Li, Tao Zhou, Xiaoyu Guo, Zhiqiang Li, Daidong Li, Zihao Ding, Runchuan Li
Publikováno v:
IET Image Processing, Vol 15, Iss 13, Pp 3239-3253 (2021)
Abstract Road extraction from high‐resolution remote sensing images (HRSIs) has great importance in various practical applications. However, most existing road extraction methods have considerable limitation in capturing long‐range shape feature
Externí odkaz:
https://doaj.org/article/12cadebaaeee4a1dbccf7c891bbce301