Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Liangliang Duan"'
Publikováno v:
Geoderma, Vol 441, Iss , Pp 116741- (2024)
Investigating the soil water dynamics in relation to rainfall events is of great importance for enhancing our understanding of eco-hydrological processes and improving soil hydrological models. However, the lack of long-term, in-situ observational da
Externí odkaz:
https://doaj.org/article/02c63c81f9d446bd84a08f9a4a4410d2
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Determining the age and sources of stream water is critical for understanding the watershed hydrological processes and biogeochemical cycle. In this study, daily isotope data of rainfall and runoff, as well as continuously monitored conductivity data
Externí odkaz:
https://doaj.org/article/53fa45b4c58b4a2bad614fc41580c80e
Publikováno v:
Journal of Applied Biomaterials & Functional Materials, Vol 21 (2023)
Bletilla striata polysaccharide (BSP) is effective for wound healing and has important applications in health care. A series of blend hydrogels was designed with BSP and konjac glucomannan (KGM) in this study to overcome the deficient mechanical perf
Externí odkaz:
https://doaj.org/article/0eb73fbec33b49cc8e730d18dfd0afe9
Publikováno v:
Machines, Vol 11, Iss 12, p 1041 (2023)
The rapid expansion of the global electric vehicle industry has presented significant challenges in the management of end-of-life power batteries. Retired power batteries contain valuable resources, such as lithium, cobalt, nickel, and other metals,
Externí odkaz:
https://doaj.org/article/c62c32ccef9640faa4e320145e6d3c1f
Autor:
Xiaoqi Yang, Liangliang Duan
Publikováno v:
IEEE Access, Vol 10, Pp 98816-98827 (2022)
Due to the development of Convolutional Neural Networks (CNN), significant progress has been made in Salient Object Detection (SOD). However, methods based on CNN are difficult to achieve good results in learning global context information. Recently,
Externí odkaz:
https://doaj.org/article/7854d0fb29594b0e943a80bcd7a8305c
Autor:
Liangliang Duan
Publikováno v:
Advances in Multimedia, Vol 2022 (2022)
Deep encoder-decoder networks have been adopted for saliency detection and achieved state-of-the-art performance. However, most existing saliency models usually fail to detect very small salient objects. In this paper, we propose a multitask architec
Externí odkaz:
https://doaj.org/article/a11326ac94a542f8ac00137714ff9049
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 10135 (2022)
Recommendation attack attempts to bias the recommendation results of collaborative recommender systems by injecting malicious ratings into the rating database. A lot of methods have been proposed for detecting such attacks. Among these works, the dee
Externí odkaz:
https://doaj.org/article/93748ec5b0724625bf62631f6cb27056
Publikováno v:
Forests, Vol 12, Iss 8, p 1021 (2021)
To study the response of runoff to extreme changes in land use, the Soil and Water Assessment Tool (SWAT) model was used to construct historical, extreme, and future scenarios for several major landscape types in a permafrost region of northeastern C
Externí odkaz:
https://doaj.org/article/ad4113ef94b84b0e8f9f63fa436418ca
Publikováno v:
Water, Vol 12, Iss 6, p 1565 (2020)
Water resources from rivers are essential to humans. The discharge of rivers is demonstrated to be significantly affected by climate change in the literature, particularly in the boreal and subboreal climate zones. The Da Hinggan Mountains in subbore
Externí odkaz:
https://doaj.org/article/642d25eb464a469eb2e180e8c4900c5e
Publikováno v:
IET Computer Vision, Vol 9, Iss 1, Pp 85-97 (2015)
Salient region detection is important for many computer vision tasks. The saliency detection results may serve as the basis for further high‐level vision tasks like object segmentation and tracking. In this study, the authors propose an integration
Externí odkaz:
https://doaj.org/article/b49419269bb0439a88e0ff0ea67f9a36