Zobrazeno 1 - 10
of 104
pro vyhledávání: '"YONGYONG CHEN"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7357-7373 (2023)
Hyperspectral image (HSI) processing tasks frequently rely on spatial–spectral total variation (SSTV) to quantify the local smoothness of image structures. However, conventional SSTV only considers a sparse structure of gradient maps computed along
Externí odkaz:
https://doaj.org/article/d7fe84226e4e4929abb85a3eaa880c5f
Autor:
Xiaojuan Zhang, Yongyong Chen, Nanwei Tong, Qing Shao, Yueyang Zhou, Tong Mu, Xiaoling Yang, Yuwei Zhang
Publikováno v:
Journal of Diabetes Investigation, Vol 13, Iss 2, Pp 397-401 (2022)
Abstract Maternally inherited diabetes and deafness is a rare genetic disease mainly caused by a point mutation in mitochondrial deoxyribonucleic acid. Lipoprotein lipase gene mutations are associated with familial dyslipidemias, which are difficult
Externí odkaz:
https://doaj.org/article/05c2f3b708524f5a8b14f72f1591dd02
Publikováno v:
IEEE Access, Vol 10, Pp 56482-56492 (2022)
Graph Neural Networks (GNNs) have been intensively studied in recent years because of their promising performance over graph-structural data and have provided assistance in many fields. Recalling recent works on graph neural networks, we found that i
Externí odkaz:
https://doaj.org/article/1e3f047031554750959973bed36cebc1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9530-9545 (2021)
The remote sensing scene images classification has been of great value to civil and military fields. Deep learning models, especially the convolutional neural network (CNN), have achieved great success in this task, however, they may suffer from two
Externí odkaz:
https://doaj.org/article/75554dff98284939a18c6a702cef2509
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Social identity runs through the whole life of an individual, and it provides a framework to help individuals form a value guide adapted to their survival and development in different social situations and multiple roles. This study aimed to explore
Externí odkaz:
https://doaj.org/article/454f8046919343288fc9c406bc38e870
Publikováno v:
Molecules, Vol 27, Iss 23, p 8349 (2022)
Herein the reaction mechanism and the origin of stereoselectivity of asymmetric hydrogenation of oximes to hydroxylamines catalyzed by the cyclometalated iridium (III) complexes with chiral substituted single cyclopentadienyl ligands (Ir catalysts A1
Externí odkaz:
https://doaj.org/article/3795a683e37e4765b46ef8114c40e87f
Publikováno v:
Frontiers in Physics, Vol 8 (2021)
Multi-view clustering has been deeply explored since the compatible and complementary information among views can be well captured. Recently, the low-rank tensor representation-based methods have effectively improved the clustering performance by exp
Externí odkaz:
https://doaj.org/article/d0120fd1ef83412e8894c6341173dc03
Publikováno v:
IEEE Access, Vol 6, Pp 18945-18953 (2018)
Background/foreground separation has become an inevitable step in numerous image/video processing applications, such as image/video inpainting, anomaly detection, motion segmentation, augmented reality, and so on. Recent low-rank based approaches, su
Externí odkaz:
https://doaj.org/article/ae93083ab4414f278c27457f1ee27248
Publikováno v:
IEEE Access, Vol 5, Pp 1958-1966 (2017)
Reconstruction of highly accelerated dynamic magnetic resonance imaging (MRI) is of crucial importance for the medical diagnosis. The application of general robust principal component analysis (RPCA) to MRI can increase imaging speed and efficiency.
Externí odkaz:
https://doaj.org/article/c31caecd73544bf9b51219e11993bdfb
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Optimism, cultural adaptation, and mental health are distinct but associated concepts. An optimistic personality assists in maintaining mental health, and people with optimistic personality traits have better health than those with pessimistic person
Externí odkaz:
https://doaj.org/article/431caa393de34a349025ca163186d220