Zobrazeno 1 - 10
of 702
pro vyhledávání: '"TONG LAM"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 8, Pp 102200- (2024)
Lung auscultation is essential for early lung condition detection. Categorizing adventitious lung sounds requires expert discrimination by medical specialists. This paper details the features of LungNeXt, a novel classification model specifically des
Externí odkaz:
https://doaj.org/article/7d98aeab27ff4b39a112013d9184116b
Autor:
Chiang, Howard
Publikováno v:
Isis, 2014 Jun 01. 105(2), 456-457.
Externí odkaz:
https://www.jstor.org/stable/10.1086/678021
Publikováno v:
iScience, Vol 27, Iss 9, Pp 110821- (2024)
Summary: This article proposes a new digital watermarking mechanism based on the Ethereum blockchain, Smart Contract, and Interplanetary File System (IPFS), with an enhanced Fast Walsh Hadamard Transform (FWHT) algorithm for watermark embedding and e
Externí odkaz:
https://doaj.org/article/e9a36bfbbb48433c91c82df5258d3e10
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104077- (2024)
In land cover change detection tasks, extracting universal features of changing targets is crucial for achieving precise detection results. A larger receptive field helps the model capture these universal features of changing targets. Although Large
Externí odkaz:
https://doaj.org/article/440306562ad4478e8fd53967dbe95a03
Publikováno v:
IEEE Access, Vol 12, Pp 161468-161479 (2024)
The Macao Government provides web-based streaming videos for the public to monitor live traffic and road conditions across the city. This allows individuals to review the latest road traffic conditions online before planning their travels. To let roa
Externí odkaz:
https://doaj.org/article/ee1d1e76c32f40d9a5cdafacde73bd56
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10621-10635 (2024)
Change detection of remote sensing images is an essential method for observing changes on the Earth's surface. Deep learning can efficiently process remote sensing images. However, shallow features in remote sensing data from different time are inher
Externí odkaz:
https://doaj.org/article/7475f24d0a6b48c5bf51c282dc8fb673
Publikováno v:
IEEE Access, Vol 12, Pp 73228-73237 (2024)
Channel decoding algorithms based on model-driven deep learning, also known as channel neural decoding algorithms, have received a lot of attention in recent years. However, the internal parameters and number of layers of the current channel neural d
Externí odkaz:
https://doaj.org/article/18fbfba93a0245ac9a5ca4ff2dec131e
Publikováno v:
IEEE Access, Vol 12, Pp 3756-3767 (2024)
Many countries across the globe face the serious issue of traffic congestion. This paper presents a low-cost graph-based traffic forecasting and congestion detection framework using online images from multiple cameras. The advantage of using a graph
Externí odkaz:
https://doaj.org/article/081ae57042d04f7a932dbdd3323221d9
Publikováno v:
Sensors, Vol 24, Iss 23, p 7730 (2024)
Effective detection of the contours of cloud masks and estimation of their distribution can be of practical help in studying weather changes and natural disasters. Existing deep learning methods are unable to extract the edges of clouds and backgroun
Externí odkaz:
https://doaj.org/article/c58882850ba84b53a029b15501b17e4f
Autor:
WENNAN, LIU
Publikováno v:
Journal of World History, 2013 Dec 01. 24(4), 913-916.
Externí odkaz:
https://www.jstor.org/stable/43818425