Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Zhengyu Xia"'
Publikováno v:
Energies, Vol 17, Iss 12, p 2806 (2024)
In order to address the energy imbalance issue of a series-connected lithium-iron battery pack, this paper proposes an active equalization method based on a reduced-order solving strategy for the Hanoi Tower problem. The proposed scheme utilizes a co
Externí odkaz:
https://doaj.org/article/dc6898c391484165ac6515201627d14e
Autor:
Zhengyu Xia, Joohee Kim
Publikováno v:
IEEE Access, Vol 11, Pp 122345-122356 (2023)
Transformer-based semantic segmentation has been applied to various visual recognition applications and achieved outstanding performance in recent years. Since most of these approaches adopt a pretrained backbone and finetune it for semantic segmenta
Externí odkaz:
https://doaj.org/article/531bdfe54bb04fd2a2d9650705b4a73d
Publikováno v:
Environmental Research Letters, Vol 19, Iss 12, p 124005 (2024)
Previous paleoenvironmental data synthesis indicates that arid central Asia (‘westerlies Asia’) and mid-latitude East Asia (‘monsoonal Asia’) show anti-phased moisture variations over the last millennium. However, there are very few records f
Externí odkaz:
https://doaj.org/article/e2f5a6b11a884f539b6432f09fa0c6d7
Autor:
Zhengyu Xia
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 5, Pp n/a-n/a (2023)
Abstract The deuterium excess (d‐excess) and more recently developed 17O excess (Δ′17O) of precipitation are isotopic tracers that are sensitive to oceanic moisture source (OMS) conditions. However, other regional and local processes also affect
Externí odkaz:
https://doaj.org/article/52de11d8670d4a2bb8c7442bdba4a17f
Publikováno v:
IEEE Access, Vol 9, Pp 161283-161291 (2021)
With the rapid development of deep learning techniques, the performance of object detection has increased significantly. Recently, several approaches on joint learning of object detection and semantic segmentation have been proposed to exploit the co
Externí odkaz:
https://doaj.org/article/490bc3c75fb043c490621026f6cbb76f
Autor:
Zhengyu Xia, Joohee Kim
Publikováno v:
Sensors, Vol 23, Iss 2, p 581 (2023)
Transformer-based semantic segmentation methods have achieved excellent performance in recent years. Mask2Former is one of the well-known transformer-based methods which unifies common image segmentation into a universal model. However, it performs r
Externí odkaz:
https://doaj.org/article/8453e566be3d4d6284f47ff78a5f2b21
Autor:
Zhengyu Xia, Zicheng Yu
Publikováno v:
Frontiers in Earth Science, Vol 8 (2020)
The oxygen isotope composition (δ18O) of plant cellulose has been widely used to study ecohydrological processes of ecosystems as well as to reconstruct past climate conditions in terrestrial climate archives. These applications are grounded on a ke
Externí odkaz:
https://doaj.org/article/50b5ced9e4114dcdbfd0206f1eb17c6c
Publikováno v:
Atmosphere, Vol 11, Iss 5, p 514 (2020)
We analyzed 28-year-long monthly oxygen isotope composition of precipitation (δ18Op) data from Punta Arenas (Chile) on the leeward side of the Andes to understand how different synoptic weather types and moisture transport pathways influence δ18Op
Externí odkaz:
https://doaj.org/article/5608ec722b26429fb01268a9880f7651
Publikováno v:
Geology. 51:247-251
The southern westerly winds influence weather patterns and water resources across the southern high-latitude regions, with important socioeconomic impacts. The strengthening and poleward migration of these winds since the late 20th century also have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bed2cd786d205196686639f48abba03
https://doi.org/10.1130/g50680.1
https://doi.org/10.1130/g50680.1
Publikováno v:
Geology. 51:257-261
Glaciers are receding in the northern Antarctic Peninsula and exposing previously entombed soils and plants. We used 39 black (dead) mosses collected from rapidly retreating ice margins at four sites along the Antarctic Peninsula to determine the kil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c296e4582ccf27374903f3989c04be4
https://doi.org/10.1130/g50314.1
https://doi.org/10.1130/g50314.1