Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Hongzhong Tang"'
Publikováno v:
IEEE Access, Vol 12, Pp 15308-15320 (2024)
The intelligent operation mode decision scheme has been proved to be a promising solution for enhancing the cleaning performance of cleaning robots. In this paper, we propose a lightweight operation mode decision method for cleaning robots, driven by
Externí odkaz:
https://doaj.org/article/48522612a18847f3a12e43815ca66cd6
Publikováno v:
Atmosphere, Vol 15, Iss 8, p 931 (2024)
The thermal and dynamic effects of the special topography of the Qinghai–Tibet Plateau have a significant impact on rainfall in China. Utilizing NCEP/NCAR monthly reanalysis data alongside precipitation observations from 1936 monitoring stations ac
Externí odkaz:
https://doaj.org/article/4b42cf7fec194795baaf24c5332dab39
Publikováno v:
Journal of Intelligent Information Systems. 59:263-284
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b12ce0e45217939415a76719e8712ae8
https://doi.org/10.1007/s10844-022-00702-y
https://doi.org/10.1007/s10844-022-00702-y
Publikováno v:
Neural Computing and Applications. 34:9955-9966
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9beb8be767316df1704b00ed3e50c7cb
https://doi.org/10.1007/s00521-022-06980-5
https://doi.org/10.1007/s00521-022-06980-5
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8cd2449d53af8a8cef90e1a60bbee55
https://doi.org/10.1007/s11042-023-15065-x
https://doi.org/10.1007/s11042-023-15065-x
Publikováno v:
IET Image Processing. 13:2507-2515
In this study, an image representation method based on multi-scale microstructural binary pattern extraction is proposed, which uses zero-mean microstructural pattern binarisation. This method can express all kinds of important pattern structures tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78519576e9d501deaa7510adc9424579
https://doi.org/10.1049/iet-ipr.2018.6358
https://doi.org/10.1049/iet-ipr.2018.6358
Publikováno v:
Machine Vision and Applications. 30:749-761
Based on pairs of spatial symmetric patches, a novel efficient and distinctive binary descriptor is proposed in this paper for rotated circular image recognition. To achieve rotation invariance during feature computation, a local coordinate system is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de90609dd01e6b38652c82adbce04ee7
https://doi.org/10.1007/s00138-019-01026-8
https://doi.org/10.1007/s00138-019-01026-8
Publikováno v:
Applied Thermal Engineering. 150:99-110
In the sintering process for shuttle kiln, the sintering temperature is the most important thermal parameter, which plays a critical role in stable and efficient operation of the production process. However, due to the complex structure of shuttle ki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9242b458b7a3a184658232b90eb9636f
https://doi.org/10.1016/j.applthermaleng.2018.12.092
https://doi.org/10.1016/j.applthermaleng.2018.12.092
Publikováno v:
Applied Soft Computing. 113:107958
Single image deraining as a fundamental task in computer vision is important in improving the visual quality of images and videos. In this paper, we propose a feature-guided dictionary learning method for patch-and-group sparse representation in sing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::234631cdfb348e1a23cdf9fc8f1306dc
https://doi.org/10.1016/j.asoc.2021.107958
https://doi.org/10.1016/j.asoc.2021.107958
Publikováno v:
Medicalbiological engineeringcomputing. 59(1)
Histopathological image contains rich pathological information that is valued for the aided diagnosis of many diseases such as cancer. An important issue in histopathological image classification is how to learn a high-quality discriminative dictiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d59af9bf3cff9dc3914b75dcdca81a49
https://pubmed.ncbi.nlm.nih.gov/33386592
https://pubmed.ncbi.nlm.nih.gov/33386592