Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Runlong Li"'
Publikováno v:
Chemosensors, Vol 10, Iss 3, p 109 (2022)
In recent years, two-dimensional layered material MXene has attracted extensive attention in the fields of sensors due to its large specific surface area and rich active sites. So, we employed multilayer Ti3C2TX and SnO2 microspheres to prepare SnO2/
Externí odkaz:
https://doaj.org/article/919e79032c534e8ca44a76f52fde3a81
Publikováno v:
Sensors, Vol 20, Iss 17, p 5007 (2020)
Radio frequency interference, which makes it difficult to produce high-quality radar spectrograms, is a major issue for micro-Doppler-based human activity recognition (HAR). In this paper, we propose a deep-learning-based method to detect and cut out
Externí odkaz:
https://doaj.org/article/52dc9265067e4126afad14d829107b16
Publikováno v:
Chinese Chemical Letters. 31:2309-2313
Conductive MOFs could exhibit full potential as integrated electrode materials for supercapacitors without interference from additional conductive additives. Here we report an anionic Co-MOF cage with zeolite framework, which was balanced by the redo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c724a8785e417ab7775152869161a98
https://doi.org/10.1016/j.cclet.2020.04.017
https://doi.org/10.1016/j.cclet.2020.04.017
Publikováno v:
2021 CIE International Conference on Radar (Radar).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::343f5c1ce5169be27d75a309061cd1dc
https://doi.org/10.1109/radar53847.2021.10028226
https://doi.org/10.1109/radar53847.2021.10028226
Publikováno v:
Microchimica Acta. 188
A 2D ultrathin MXene nanosheet was prepared under controlled conditions and employed as a sensitive film to construct a QCM (quartz crystal microbalance) humidity sensor by a dip coating method. The MXene nanosheets were obtained by dislodging the el
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ff874078d8c372fa1ffe135417f69c7
https://doi.org/10.1007/s00604-021-04723-2
https://doi.org/10.1007/s00604-021-04723-2
A prior-guided deep learning (DL) based interference mitigation approach is proposed for frequency modulated continuous wave (FMCW) radars. In this paper, the interference mitigation problem is tackled as a regression problem. Considering the complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::399a65b98dc10297f820de4fa982fc64
Autor:
Zhe Dong, Qingmin Hu, Han Liu, Yue Wu, Zhiheng Ma, Yu Fan, Runlong Li, Jiaqiang Xu, Xiaohong Wang
Publikováno v:
Sensors and Actuators B: Chemical. 357:131227
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1353cb0a6dbc877a1f5d73dbca1c384
https://doi.org/10.1016/j.snb.2021.131227
https://doi.org/10.1016/j.snb.2021.131227
Publikováno v:
Sensors
Volume 20
Issue 17
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 5007, p 5007 (2020)
Sensors, 20(17)
Volume 20
Issue 17
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 5007, p 5007 (2020)
Sensors, 20(17)
Radio frequency interference, which makes it difficult to produce high-quality radar spectrograms, is a major issue for micro-Doppler-based human activity recognition (HAR). In this paper, we propose a deep-learning-based method to detect and cut out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ddfbad56d36abb27cf11abf3bbb360d
Publikováno v:
2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).
The smart grid creates a large-scale intelligent energy delivery network. It requires a much more complex and highdimensional data processing system. Thus, smart grid has become one of the most potential fields for machine learning application. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abf00970b6c068473c01fe8d57d8242d
https://doi.org/10.1109/appeec48164.2020.9220568
https://doi.org/10.1109/appeec48164.2020.9220568
Autor:
Wenwen Hu, Chao Ma, Runlong Li, Shipu Xu, Yong Liu, Chang Liu, Chenxi Zhang, Yunsheng Wang, Yingjing Wu
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2020 (2020)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
With the increasing of depth and complexity of the convolutional neural network, parameter dimensionality and volume of computing have greatly restricted its applications. Based on the SqueezeNet network structure, this study introduces a block convo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d0385f8f15c9083b139992b7a9c8e0a
https://doaj.org/article/c5903fef6fc642338beab9f8082f12be
https://doaj.org/article/c5903fef6fc642338beab9f8082f12be