Zobrazeno 1 - 10
of 429
pro vyhledávání: '"Zhiqiang Zeng"'
Autor:
Shan-e-hyder Soomro, Abdul Razzaque Soomro, Sahar Batool, Jiali Guo, Yinghai Li, Yanqin Bai, Caihong Hu, Muhammad Tayyab, Zhiqiang Zeng, Ao Li, Yao Zhen, Kang Rui, Aamir Hameed, Yuanyang Wang
Publikováno v:
Applied Water Science, Vol 14, Iss 4, Pp 1-31 (2024)
Abstract Globally there is already a lot of pressure on water resources because of climate change, economic development, as well as an increasing global populace. Many rivers originate in the mountains, where snowfall fluctuations and the global clim
Externí odkaz:
https://doaj.org/article/1a025237d13d40169aa28f4eac5f94cf
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
Based on the objective evaluation of the regional ecological quality (Urban Cluster in Mid-inner Zhejiang) by Remote Sensing based Ecological Index (RSEI), it was proposed to study the spatial-temporal response of the regional ecological quality to t
Externí odkaz:
https://doaj.org/article/7173035ca1974d44ad18d736359f3e0c
Publikováno v:
AIMS Mathematics, Vol 9, Iss 3, Pp 6183-6206 (2024)
The rapid development of blockchain transactions highlights the importance of privacy protection (including anonymity and confidentiality) and underscores the necessity for auditability. Some schemes, such as PGC and Miniledger, support privacy prote
Externí odkaz:
https://doaj.org/article/6189ddf3aa6044e9a945c7aa6545870b
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1637-1646 (2024)
Affective brain-computer interfaces (aBCIs) have garnered widespread applications, with remarkable advancements in utilizing electroencephalogram (EEG) technology for emotion recognition. However, the time-consuming process of annotating EEG data, in
Externí odkaz:
https://doaj.org/article/d51fe2a73eb34b839a6d03585f710f09
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6290-6307 (2024)
The performance of a deep learning-based synthetic aperture radar (SAR) automatic target recognition (ATR) model largely relies on the scale and quality of training samples. However, it is time-consuming and expensive to collect sufficient data in pr
Externí odkaz:
https://doaj.org/article/21154856379242e79bdac8567fa2d002
Publikováno v:
Electronics Letters, Vol 60, Iss 10, Pp n/a-n/a (2024)
Abstract The type parameter helps in scattering mechanism analysis and scattering centre identification. However, current approximate solution methods based on spectral estimation are noise‐sensitive and exhibit low accuracy. In this letter, a high
Externí odkaz:
https://doaj.org/article/42034338fed04b738860976474be3fbf
Autor:
Jie Yuan, Minxia Lin, Shaohua Yang, Hao Yin, Shaoyong Ouyang, Hong Xie, Hongmei Tang, Xiaowei Ou, Zhiqiang Zeng
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31137- (2024)
Background: The prevalence of breast cancer (BRCA), which is common among women, is on the rise. This study applied network pharmacology to explore the potential mechanism of action of herba sarcandrae in BRCA and construct a prognostic signature com
Externí odkaz:
https://doaj.org/article/e31808e0a2304264abc00cde84d7fdf8
Publikováno v:
PeerJ Computer Science, Vol 10, p e1906 (2024)
Advances in deep learning have propelled the evolution of multi-view clustering techniques, which strive to obtain a view-common representation from multi-view datasets. However, the contemporary multi-view clustering community confronts two prominen
Externí odkaz:
https://doaj.org/article/2c9cb60a49c648879330a4b65a892d27
Autor:
Pakavarin Louphrasitthiphol, Alessia Loffreda, Vivian Pogenberg, Sarah Picaud, Alexander Schepsky, Hans Friedrichsen, Zhiqiang Zeng, Anahita Lashgari, Benjamin Thomas, E. Elizabeth Patton, Matthias Wilmanns, Panagis Filippakopoulos, Jean-Philippe Lambert, Eiríkur Steingrímsson, Davide Mazza, Colin R. Goding
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract The ability of transcription factors to discriminate between different classes of binding sites associated with specific biological functions underpins effective gene regulation in development and homeostasis. How this is achieved is poorly
Externí odkaz:
https://doaj.org/article/05062f093ad34978985104ce9fcbc2bd
Publikováno v:
IEEE Access, Vol 11, Pp 126555-126567 (2023)
Traffic sign detection is a critical task in the autonomous driving. Ordinary networks cannot obtain satisfactory results in traffic sign detection because the size distribution of traffic signs are extremely unbalanced. To overcome this challenge, t
Externí odkaz:
https://doaj.org/article/a8e1c31790b54f4980b91a37d2267c91