Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Qianming, Li"'
Publikováno v:
Research, Vol 7 (2024)
In recent years, one-dimensional (1D) implantable sensors have received considerable attention and rapid development in the biomedical field due to their unique structural characteristics and high integration capability. These sensors can be implante
Externí odkaz:
https://doaj.org/article/6547056fcf9840539756175ab60fec13
Publikováno v:
Zhongguo aizheng zazhi, Vol 33, Iss 2, Pp 168-173 (2023)
Background and purpose: Hyalinizing clear cell carcinoma (HCCC) of salivary gland is a rare tumor with low-grade malignancy, which usually occurs in minor salivary glands. Due to its rarity, the tumor type is not well known to pathologists and misdia
Externí odkaz:
https://doaj.org/article/49c6105f09524b0096d3989ab7d1f425
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 5115-5130 (2022)
Convolutional neural network (CNN) is widely used in hyperspectral image (HSI) classification owing to their advantages of spatial-spectral features capture capability and learning depth features as well as their structural flexibility. Nevertheless,
Externí odkaz:
https://doaj.org/article/77e11d1d63554a8f9cb14bf8bf626958
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 5865-5879 (2022)
Hyperspectral image (HSI) is applied to accurately distinguish ground objects in many fields, owing to its abundant structural and spectral information. To fully mine the spectral-spatial information, feature extraction methods are employed to furthe
Externí odkaz:
https://doaj.org/article/b22e39aa393a48518d9aaf954e474ecd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 1454-1469 (2022)
In recent times, multisource remote sensing technology [e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR) data] has been widely used in urban land-use recognition owing to its high classification effectiveness compared to using
Externí odkaz:
https://doaj.org/article/3563a107ff474716915a30593a0c5ff3
Autor:
Xudong Zhang, Qianming Li, Zhengxi Wang, Wei Zhou, Linlin Zhang, Yingsheng Liu, Ze Xu, Zheng Li, Chen Zhu, Xianzuo Zhang
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Bone regeneration materials (BRMs) bring us new sights into the clinical management bone defects. With advances in BRMs technologies, new strategies are emerging to promote bone regeneration. The aim of this study was to comprehensively assess the ex
Externí odkaz:
https://doaj.org/article/29690fcd19f148b6be3891cfabaeb89d
Autor:
Wei Zhou, Qianming Li, Ruixiang Ma, Wei Huang, Xianzuo Zhang, Yingsheng Liu, Ze Xu, Linlin Zhang, Meng Li, Chen Zhu
Publikováno v:
ACS Omega, Vol 6, Iss 10, Pp 6861-6870 (2021)
Externí odkaz:
https://doaj.org/article/877df83b0e55433ab848444b164b308e
Publikováno v:
IEEE Access, Vol 9, Pp 61793-61806 (2021)
In this paper, a spectral-spatial active learning (AL) method is proposed based on an up-to-date unlabeled samples sampling strategy concentrated on the structure density supported by breaking ties. The proposed sampling criterion in AL is used for h
Externí odkaz:
https://doaj.org/article/4ff709b8c41e4ba3a69dd63320a31547
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5134-5148 (2020)
Hyperspectral images (HSIs) have fine spectral information, and rich spatial information, of which the feature quality is one of the key factors that affect the classification performance. Therefore, how to extract essential features, and eliminate r
Externí odkaz:
https://doaj.org/article/9f2fa261e372426897ac56238d2e0f2a
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e48a00a996f0243b4a34ffe6bc94e49e
https://doi.org/10.1109/tim.2023.3271713
https://doi.org/10.1109/tim.2023.3271713