Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Dahua Gao"'
Publikováno v:
Tongxin xuebao, Vol 44, Pp 15-27 (2023)
As the traditional communication development model focusing on enhancing bandwidth and spectrum efficiency is getting bottlenecked, more and more research is shifting the goal of intelligent communication from the syntactic level to the semantic leve
Externí odkaz:
https://doaj.org/article/251b9b0ee89940cf8a26e034589e8c83
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1657 (2024)
In hyperspectral image (HSI) reconstruction tasks, due to the lack of ground truth in real imaging processes, models are usually trained and validated on simulation datasets and then tested on real measurements captured by real HSI imaging systems. H
Externí odkaz:
https://doaj.org/article/5034a281fe7a43998824cc47f57df63d
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 592 (2024)
Recently, many deep learning-based methods have been successfully applied to hyperspectral image (HSI) classification. Nevertheless, training a satisfactory network usually needs enough labeled samples. This is unfeasible in practical applications si
Externí odkaz:
https://doaj.org/article/a20c82d796d64b85b302ccb3193aff48
Publikováno v:
物联网学报, Vol 5, Pp 26-36 (2021)
With the fast growing demand for the wireless network intelligence, the future communication system will transform from the traditional data-oriented solution to a novel intelligence-of-everything (IoE)-based architecture.Semantic communication is a
Externí odkaz:
https://doaj.org/article/8a8d3ccbfec24e0db0d7b61776b05f24
Publikováno v:
Sensors, Vol 19, Iss 11, p 2549 (2019)
The existing compressive sensing (CS) reconstruction algorithms require enormous computation and reconstruction quality that is not satisfying. In this paper, we propose a novel Dual-Channel Reconstruction Network (DC-Net) module to build two CS reco
Externí odkaz:
https://doaj.org/article/91c05e5676e946e1a11e83f0fb15ec75
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Due to its low complexity and acceptable accuracy, phase retrieval technique has been proposed as an alternative to solve the classic optical surface measurement task. However, to capture the overall wave field, phase retrieval based optical surface
Externí odkaz:
https://doaj.org/article/6efeeb6752e44075b1e143999a0a95e0
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-17
In hyperspectral image (HSI) classification, it is a great challenge on how to extract key informative spectral-spatial features efficiently and suppress useless features from abundant spectral-spatial information. In this article, inspired by the at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbd4b12c6ec5c3fbea7260a3fe6c9b41
https://doi.org/10.1109/tgrs.2021.3067356
https://doi.org/10.1109/tgrs.2021.3067356
Autor:
Shuai Ma, Weining Qiao, Youlong Wu, Hang Li, Guangming Shi, Dahua Gao, Yuanming Shi, Shiyin Li, Naofal Al-Dhahir
Semantic communications utilize the transceiver computing resources to alleviate scarce transmission resources, such as bandwidth and energy. Although the conventional deep learning (DL) based designs may achieve certain transmission efficiency, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c24f4eb4f25d8412b14dce6c677a5eba
Publikováno v:
Neurocomputing. 426:70-84
The excellent performance of deep neural networks mainly relies on the attributes of the dataset, such as the size, diversity, completeness. However, it is usually difficult to obtain a high-qualified training dataset for some scenarios. Inspired by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1f95647e8869b1300d6a0cfc7248620
https://doi.org/10.1016/j.neucom.2020.09.075
https://doi.org/10.1016/j.neucom.2020.09.075
Publikováno v:
Knowledge-Based Systems. 252:109386
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd9c86df1a99110b1d62a753bd848d87
https://doi.org/10.1016/j.knosys.2022.109386
https://doi.org/10.1016/j.knosys.2022.109386