Zobrazeno 1 - 10
of 629
pro vyhledávání: '"YunSong Li"'
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Aim The clinical characteristics associated with pulmonary function decline in patients with Tuberculosis-destroyed lung (TDL) remain uncertain. We categorize them based on the pattern of pulmonary function impairment, distinguishing between
Externí odkaz:
https://doaj.org/article/09915b43d2c048eabbab94de0e8ddb51
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background and objectives Amidst limited influenza treatment options, evaluating the safety of Oseltamivir and Baloxavir Marboxil is crucial, particularly given their comparable efficacy. This study investigates post-market safety profiles,
Externí odkaz:
https://doaj.org/article/7e421808e3b448dba64d54286a6d6b82
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11670-11684 (2024)
Zero-shot classification models aim to recognize image categories that are not included in the training phase by learning seen scenes with semantic information. This approach is particularly useful in remote sensing (RS) since it can identify previou
Externí odkaz:
https://doaj.org/article/b36ceeca935f409290944e61be8a77a4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11274-11289 (2024)
In recent years, remote sensing (RS) image scene classification methods have experienced notable development due to the powerful feature extraction ability of deep learning. However, current methods for RS image scene classification (RSSC) tasks stru
Externí odkaz:
https://doaj.org/article/ac160a839eca4927b505fb0582895b8a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8863-8874 (2024)
Change detection on hyperspectral images (HSIs) is an essential task for Earth observation. Due to the vast amounts of remote sensing (RS) Big Data resulting from the ongoing advancements in RS hardware, employing centralized learning through cloud c
Externí odkaz:
https://doaj.org/article/7dfab10cf44f40a08c06b76a28c9963e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4208-4221 (2024)
Infrared small target detection is considerably challenging due to the few pixels in targets, low signal-to-noise ratio, and complex background. In this article, we propose an effective attention-guided feature enhancement network (AFE-Net), which ca
Externí odkaz:
https://doaj.org/article/10fcdfa42149489d91084e93e163e860
Publikováno v:
ACS Omega, Vol 9, Iss 2, Pp 2866-2873 (2024)
Externí odkaz:
https://doaj.org/article/c311a26c516748ebae6071a4bab3f76d
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2192 (2024)
Target recognition and fine-grained ship classification in remote sensing face challenges of high inter-class similarity and sample scarcity. A transfer fusion-based ship image harmonization algorithm is proposed to overcome these challenges. This al
Externí odkaz:
https://doaj.org/article/b68cff3b3b8c4a72abf1e88ef60473e5
Publikováno v:
Buildings, Vol 14, Iss 5, p 1452 (2024)
A “random-type” sand–concrete interface shear test was developed based on the sand cone method, with a focus on the most commonly encountered triangular contact surface morphology. A “regular-type” triangular interface, matched in roughness
Externí odkaz:
https://doaj.org/article/815598fda2d8418db30bfeff7890167c
Publikováno v:
IET Computers & Digital Techniques, Vol 2024 (2024)
Convolutional neural networks (CNNs) have been widely used in satellite remote sensing. However, satellites in orbit with limited resources and power consumption cannot meet the storage and computing power requirements of current million-scale artifi
Externí odkaz:
https://doaj.org/article/990e8d5ba8004689ab8f441d58c9cd3f