Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Zhezhou Li"'
Autor:
Zhezhou Li, Hexiang Huang
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-18 (2024)
Abstract A growing number of industries have started to adapt to the circular economy since the concept's introduction. Therefore, in order to accurately evaluate the development level of circular economy, the circular economy prediction model based
Externí odkaz:
https://doaj.org/article/ccf593c78ce94617a6f6f827cfc794f8
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Utilizing panel data from 30 Chinese provinces, this research examines the non-linear relationship between regional environmental, social, and governance (ESG) performance and carbon emissions (CE) from the viewpoint of green credit. The stu
Externí odkaz:
https://doaj.org/article/440079e18c024282ba0b2ef6e0a54c79
Attention-guided cross-modal multiple feature aggregation network for RGB-D salient object detection
Publikováno v:
Electronic Research Archive, Vol 32, Iss 1, Pp 643-669 (2024)
The goal of RGB-D salient object detection is to aggregate the information of the two modalities of RGB and depth to accurately detect and segment salient objects. Existing RGB-D SOD models can extract the multilevel features of single modality well
Externí odkaz:
https://doaj.org/article/e5aa54719f5e4431abb679153256f12d
Publikováno v:
PLoS ONE, Vol 18, Iss 11 (2023)
Externí odkaz:
https://doaj.org/article/2053bbd365434341bc3d50c296ee86a6
Publikováno v:
Journal of Global Information Management. 30:1-21
As an important mode of e-commerce, C2C has become a trading mechanism favored by consumers. However, for C2C transaction in a virtual environment, there is an issue of congenital transaction asymmetry, leading to increased uncertainties and transact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3103eae89791f83605ba5992f7f1e8b2
https://doi.org/10.4018/jgim.305238
https://doi.org/10.4018/jgim.305238
Publikováno v:
2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cf85bf95fc76b7d4329b12696f5705c
https://doi.org/10.1109/icmsp55950.2022.9859069
https://doi.org/10.1109/icmsp55950.2022.9859069
Publikováno v:
2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9f15afeecb40e0498226ae7b3fd43a7
https://doi.org/10.1109/itaic54216.2022.9836952
https://doi.org/10.1109/itaic54216.2022.9836952
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783030821357
KSEM
KSEM
Few-shot relation classification is to classify novel relations having seen only a few training samples. We find it is unable to learn comprehensive relation features with information deficit caused by the scarcity of samples and lacking of significa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99f94a459ef306de96f0747d6373c319
https://doi.org/10.1007/978-3-030-82136-4_9
https://doi.org/10.1007/978-3-030-82136-4_9
