Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Chuyao, Luo"'
Autor:
Zhang, Baoquan, Wang, Huaibin, Chuyao, Luo, Li, Xutao, Guotao, Liang, Ye, Yunming, Qi, Xiaochen, He, Yao
Vector-Quantized Image Modeling (VQIM) is a fundamental research problem in image synthesis, which aims to represent an image with a discrete token sequence. Existing studies effectively address this problem by learning a discrete codebook from scrat
Externí odkaz:
http://arxiv.org/abs/2403.10071
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5500-5516 (2024)
Automatic classification of sea ice and open water plays a vital role in climate change research, polar shipping, and other applications. Many deep-learning-based methods are proposed to automatically classify sea ice and open water to address this i
Externí odkaz:
https://doaj.org/article/e67ffac39b0b4137bed01f55ee7c08ce
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 8, Iss 4, Pp 1350-1363 (2023)
Abstract Precipitation forecasting plays an important role in disaster warning, agricultural production, and other fields. To solve this issue, some deep learning methods are proposed to forecast future radar echo images and convert them into rainfal
Externí odkaz:
https://doaj.org/article/4a5869869b8a4871844823e749620b26
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3346 (2024)
Due to the continuous degradation of onboard satellite instruments over time, satellite images undergo degradation, necessitating calibration for tasks reliant on satellite data. The previous relative radiometric calibration methods are mainly catego
Externí odkaz:
https://doaj.org/article/af218a233d5a4dc8ad99ecbd8a8a3480
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 843-857 (2021)
Precipitation nowcasting is an important task, which can serve numerous applications such as urban alert and transportation. Previous studies leverage convolutional recurrent neural networks (RNNs) to address the problem. However, they all suffer fro
Externí odkaz:
https://doaj.org/article/458f736c42db49c7b44ff7e0508e4ca9
Publikováno v:
IEEE Transactions on Affective Computing. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e283f11cf280df636fa6624b613a99b
https://doi.org/10.1109/taffc.2023.3239540
https://doi.org/10.1109/taffc.2023.3239540
Publikováno v:
Neurocomputing. 507:1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::622a4c3dd15de2a69205d4ceb4f4a442
https://doi.org/10.1016/j.neucom.2022.07.061
https://doi.org/10.1016/j.neucom.2022.07.061
Publikováno v:
Information Sciences. 609:79-99
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::917ce5073a8553af5c38bd332f656004
https://doi.org/10.1016/j.ins.2022.07.002
https://doi.org/10.1016/j.ins.2022.07.002
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 164 (2021)
The task of precipitation nowcasting is significant in the operational weather forecast. The radar echo map extrapolation plays a vital role in this task. Recently, deep learning techniques such as Convolutional Recurrent Neural Network (ConvRNN) mod
Externí odkaz:
https://doaj.org/article/75cf43bad4604fd18762b8d0b7fa0149
Publikováno v:
Medžiagotyra, Vol 22, Iss 2, Pp 201-204 (2016)
Tin oxide-based thin films are deposited by ultrasonic spray pyrolysis technology, in which Cu addition is introduced to enhance the gas sensing performance by H2S detection. The thin films are porous and comprise nano-sized crystallites. One of the
Externí odkaz:
https://doaj.org/article/3ab1a6d5ea07434e9c5a54767b430b1b