Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Guishen Wang"'
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Weed control is a global issue of great concern, and smart weeding robots equipped with advanced vision algorithms can perform efficient and precise weed control. Furthermore, the application of smart weeding robots has great potential for building e
Externí odkaz:
https://doaj.org/article/485d0a2b1287405fa1abc06e798afc2a
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-17 (2022)
Abstract Background Drug-target interactions (DTIs) prediction becomes more and more important for accelerating drug research and drug repositioning. Drug-target interaction network is a typical model for DTIs prediction. As many different types of r
Externí odkaz:
https://doaj.org/article/1cdde3ecac094fb79d03bbe79751766f
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
The identification of forest pests is of great significance to the prevention and control of the forest pests' scale. However, existing datasets mainly focus on common objects, which limits the application of deep learning techniques in specific fiel
Externí odkaz:
https://doaj.org/article/596683ed0e6d4abfb2974c4b1895fafc
Publikováno v:
Entropy, Vol 23, Iss 11, p 1429 (2021)
In this paper, we propose an interval iteration multilevel thresholding method (IIMT). This approach is based on the Otsu method but iteratively searches for sub-regions of the image to achieve segmentation, rather than processing the full image as a
Externí odkaz:
https://doaj.org/article/7bc6b33a289e4001b11ef246d5c1d98d
Publikováno v:
PLoS ONE, Vol 8, Iss 6, p e66005 (2013)
Link Clustering (LC) is a relatively new method for detecting overlapping communities in networks. The basic principle of LC is to derive a transform matrix whose elements are composed of the link similarity of neighbor links based on the Jaccard dis
Externí odkaz:
https://doaj.org/article/afab46b95102486bbe57f9456a2a22de
With the help of deep learning technology, related topics of natural language processing such as summarization, text classification, and sentiment analysis, are researched deeper and deeper. However, related benchmarks especially for Chinese language
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f860d1cf1a4c20d36e20a29d4c5aaea
https://doi.org/10.21203/rs.3.rs-2126654/v1
https://doi.org/10.21203/rs.3.rs-2126654/v1
Publikováno v:
Biomedical Signal Processing and Control. 85:105004
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e5c872d19a4ea289a63670d67888301
https://doi.org/10.1016/j.bspc.2023.105004
https://doi.org/10.1016/j.bspc.2023.105004
Publikováno v:
International Journal of Modern Physics B. 36
Link prediction is an important topic in the complex networks which aims to mine the missed or unobserved links and find the possible connected links in the network according to the known network structure. In this paper, we proposed a novel link pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d860ab8d934a0880de2b5232bb0b142d
https://doi.org/10.1142/s0217979222501132
https://doi.org/10.1142/s0217979222501132
Publikováno v:
International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11390fe903803483f2b9f03decc3a5d0
https://doi.org/10.1117/12.2640264
https://doi.org/10.1117/12.2640264
Publikováno v:
BMC bioinformatics. 23(1)
BackgroundDrug-target interactions (DTIs) prediction becomes more and more important for accelerating drug research and drug repositioning. Drug-target interaction network is a typical model for DTIs prediction. As many different types of relationshi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f12a38fa43ac9ac2ef327090c467a3ed
https://pubmed.ncbi.nlm.nih.gov/36329406
https://pubmed.ncbi.nlm.nih.gov/36329406