Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Zhenji Gao"'
A Levenshtein distance-based method for word segmentation in corpus augmentation of geoscience texts
Publikováno v:
Annals of GIS, Vol 29, Iss 2, Pp 293-306 (2023)
ABSTRACTFor geoscience text, rich domain corpora have become the basis of improving the model performance in word segmentation. However, the lack of domain-specific corpus with annotation labelled has become a major obstacle to professional informati
Externí odkaz:
https://doaj.org/article/889ceef5a9cc4fe3873ea47cd8d78d79
Publikováno v:
Sensors, Vol 24, Iss 13, p 4127 (2024)
Rock image classification represents a challenging fine-grained image classification task characterized by subtle differences among closely related rock categories. Current contrastive learning methods prevalently utilized in fine-grained image class
Externí odkaz:
https://doaj.org/article/468e3754c6d040a0b6c2bee8ddad793a
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 95 (2021)
Planes are essential features to describe the shapes of buildings. The segmentation of a plane is significant when reconstructing a building in three dimensions. However, there is a concern about the accuracy in segmenting plane from point cloud data
Externí odkaz:
https://doaj.org/article/90f8208b31d8478b88c1c5b96a8ce0e7
Publikováno v:
Archives of environmental contamination and toxicology. 66(4)
Polybrominated diphenyl ethers (PBDEs) were measured in 87 soil samples collected from North China. Eleven PBDE congeners (BDE28, 47, 49, 66, 99, 100, 119, 183, 196, 203, and 209) were identified with a high frequency of detection (84–100 %) in soi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce4eeae3009702e84598e4a180cc840c
https://pubmed.ncbi.nlm.nih.gov/24287703
https://pubmed.ncbi.nlm.nih.gov/24287703
Autor:
Chunli Wu, Zhenji Gao
Publikováno v:
Geoinformatics
Quantitative assessment of human activity intensity was a prerequisite for analyzing impacts of human activity on ecosystem as well as assessing the evolution of ecological environment. A model is built based on GIS in this paper to construct a quant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67016d47decfee9965d8b4df40e60842
https://doi.org/10.1109/geoinformatics.2010.5567819
https://doi.org/10.1109/geoinformatics.2010.5567819
Publikováno v:
SPIE Proceedings.
Space-time Information Expression and Analysis (SIEA) uses vivid graphic images of thinking to deal with information units according to series distribution rules with a variety of arranging, which combined with the use of information technology, powe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec1a26d7ac4e891e8310618174c43fd0
https://doi.org/10.1117/12.828960
https://doi.org/10.1117/12.828960
Publikováno v:
SPIE Proceedings.
A new method named Landmark-based Qualitative Reference System (LBQRS) is introduced to express qualitative positional information in this paper. LBQRS provides a dynamical positional framework. Under LBQRS, Qualitative Coordinates (QC) is defined ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3db70ec9b37ac0511da3c451895fbbf4
https://doi.org/10.1117/12.774818
https://doi.org/10.1117/12.774818
Publikováno v:
Advances in Soft Computing ISBN: 9783540714408
ICFIE
ICFIE
Rough model is proposed to model vague geographic objects based on the definition of rough regions, lower approximation regions, upper approximation regions and boundary regions. With the combination of rough model and RCC-D-8, which is a discrete ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d836029ee0d0a304bacfa9e224a14c18
https://doi.org/10.1007/978-3-540-71441-5_93
https://doi.org/10.1007/978-3-540-71441-5_93
Publikováno v:
IGARSS
During the recent years, the topic of image classification has become more complex but inspiring with the development of subjects such as nerve network, and genetic algorithm. Under such a condition, many scholars are working toward a more intelligen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08314439a093deb934a908e3c0c601ac
https://doi.org/10.1109/igarss.2005.1525720
https://doi.org/10.1109/igarss.2005.1525720
Publikováno v:
IGARSS
Rough model is proposed to build vague regions based on rough sets theory after the definition of rough regions, lower approximation regions, upper approximation regions and boundary regions is given. Then the constraints of lower and upper approxima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3adce7b50a54cc9833f1f627e7d1caa
https://doi.org/10.1109/igarss.2005.1526247
https://doi.org/10.1109/igarss.2005.1526247