Zobrazeno 1 - 10
of 289
pro vyhledávání: '"YANXIA WU"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 132-146 (2025)
Oriented remote sensing object detection (ORSOD) has gained increasing significance in both military and civilian applications due to the necessity of accurately identifying objects with varying shapes and orientations in remote sensing data. Traditi
Externí odkaz:
https://doaj.org/article/7e70fa480de6470da4aa1951af7e21e8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4036-4051 (2024)
Synthetic aperture radar (SAR) images are often affected by a type of multiplicative noise known as “speckle” due to their active imaging characteristics. This property complicates the processing and interpretation of SAR images. While deep learn
Externí odkaz:
https://doaj.org/article/d8a134a24cfe4985bd93d8e40da4d9c2
Publikováno v:
Entropy, Vol 26, Iss 10, p 839 (2024)
Real-world datasets often follow a long-tailed distribution, where a few majority (head) classes contain a large number of samples, while many minority (tail) classes contain significantly fewer samples. This imbalance creates an information disparit
Externí odkaz:
https://doaj.org/article/be0e4548739849cb9d7f9ad5ce44e923
Publikováno v:
IET Image Processing, Vol 17, Iss 14, Pp 3927-3937 (2023)
Abstract The bus passenger detection algorithm is a key component of a public transportation bus management system. The detection techniques based on the convolutional neural network have been widely used in bus passenger detection. However, they req
Externí odkaz:
https://doaj.org/article/8175ea6560844df1a5f1b5bf4b28f6ae
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background The association between body fat percentage (BFP) and kidney stone disease (KSD) among bus drivers has not been explored in the existing literature. Thus, this study was conducted to explore the influence of BFP on the risk of KSD
Externí odkaz:
https://doaj.org/article/798c23a7dc8743b7bf0dbe707f31793d
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract The objective of this retrospective study was to predict short-term efficacy of anti-vascular endothelial growth factor (VEGF) treatment in diabetic macular edema (DME) using machine learning regression models. Real-world data from 279 DME p
Externí odkaz:
https://doaj.org/article/79cea037231f4816b7691055b54b5bc5
Publikováno v:
Entropy, Vol 26, Iss 9, p 740 (2024)
With advancements in computing technology and the rapid progress of data science, machine learning has been widely applied in various fields, showing great potential, especially in digital healthcare. In recent years, conversational diagnostic system
Externí odkaz:
https://doaj.org/article/2e6f61328c034999a68312eb98983900
Publikováno v:
BMC Genomics, Vol 24, Iss 1, Pp 1-9 (2023)
Abstract Background Systematic description of library quality and sequencing performance of single-cell RNA sequencing (scRNA-seq) data is imperative for subsequent downstream modules, including re-pooling libraries. While several packages have been
Externí odkaz:
https://doaj.org/article/eb9d849f09cb4d67abf6a850f19f101c
Publikováno v:
IEEE Access, Vol 11, Pp 143475-143485 (2023)
With the rapid development of smart grid (SG) technologies, massive system data has been generated for SG for grid operation status monitoring and fault warning, this massive integrated data has brought great challenges for data transmission and stor
Externí odkaz:
https://doaj.org/article/dddba0822e094b6799c04a4198b43d6d
Autor:
Yong‐Qiao He, Wen‐Qiong Xue, Dan‐Hua Li, Tong‐Min Wang, Zhi‐Ming Mai, Da‐Wei Yang, Chang‐Mi Deng, Ying Liao, Wen‐Li Zhang, Ruo‐Wen Xiao, Luting Luo, Hua Diao, Xiating Tong, Yanxia Wu, Jiang‐Bo Zhang, Ting Zhou, Xi‐Zhao Li, Pei‐Fen Zhang, Xiao‐Hui Zheng, Shao‐Dan Zhang, Ye‐Zhu Hu, Minzhong Tang, Yuming Zheng, Yonglin Cai, Ellen T. Chang, Zhe Zhang, Guangwu Huang, Su‐Mei Cao, Qing Liu, Lin Feng, Ying Sun, Maria Li Lung, Hans‐Olov Adami, Weimin Ye, Tai‐Hing Lam, Wei‐Hua Jia
Publikováno v:
Cancer Communications, Vol 42, Iss 9, Pp 887-891 (2022)
Externí odkaz:
https://doaj.org/article/d96f034a0e364c0d8d7d674a4827860f