Zobrazeno 1 - 10
of 680
pro vyhledávání: '"Meng XU"'
Autor:
Shao-Ming Ma, Meng Xu, Si-Qing Sun, Chuan-Liu Wang, Shou-Ning Xue, Zhi-Qiang Liu, Jing Xie, Hu Yunqi, Cheng-Hang Fu, Hui-Lan He
Publikováno v:
Petroleum Science. 19:1291-1304
Natural gas hydrate (NGH) holds great promise as a source of clean energy. It is critical for acquiring the largest possible in situ NGH core for NGH eigen features and resource assessment. However, the existing NGH coring technology has limitations,
Publikováno v:
Surgery. 171:1233-1239
Background Parapharyngeal lymph node metastasis is very rare in patients with thyroid carcinoma. In this study, we elucidated on the clinical features, diagnosis, surgical treatment, and outcomes for patients with parapharyngeal lymph node metastases
Publikováno v:
Chinese Chemical Letters. 33:1850-1854
Compared with other transition metal Mxene derived quantum dots (MQDS), Ta-based Mxene quantum dots have good functionality, but Ta-based Mxene quantum dots and their applications have not been studied so far. In this paper, we report for the first t
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-18
The high spectral resolution of hyperspectral images (HSIs) generally comes at the expense of low spatial resolution, which hinders the application of HSIs. Fusing an HSI and a multispectral image (MSI) from different sensors to get an image with hig
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-15
Supervised classification algorithms on the intricate ground object information of hyperspectral images (HSIs) require a large number of training samples that are annotated manually for model learning. To reduce the labeling cost and improve training
Autor:
Sen Jia, Weiwei Sun, Xiuping Jia, Jiasong Zhu, Qiang Huang, Meng Xu, Shuguo Jiang, Zhijie Lin
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-17
With the development of hyperspectral imaging technology, hyperspectral images (HSIs) have become important when analyzing the class of ground objects. In recent years, benefiting from the massive labeled data, deep learning has achieved a series of
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-17
Domain adaptation, which cleverly applies the classifier learned from the source domain with sufficient labeled samples to the target domain with limited labeled samples, provides a feasible alternative to handle the small training sample problem of
Publikováno v:
Experimental Animals. 71:139-149
Clinical evaluations of long-term outcomes in the early-stage spinal cord injury (SCI) focus on macroscopic motor performance and are limited in their prognostic precision. This study was designed to investigate the sensitivity of the magnetic resona
Publikováno v:
IEEE Robotics and Automation Letters. 7:255-262
Distribution-to-distribution-based lidar odometry is known for its good accuracy, while it cannot run in real-time when the number of points is large. To alleviate this problem, Faster Generalized Iterative Closest Point (FasterGICP) is proposed in t
Publikováno v:
IEEE Communications Letters. 26:94-98
Reconfigurable intelligent surface (RIS) is considered as a revolutionary technology for future wireless communication networks. In this letter, we consider the acquisition of the time-varying cascaded channels, which is a challenging task due to the