Zobrazeno 1 - 10
of 389
pro vyhledávání: '"Chong-Yung Chi"'
Publikováno v:
Advanced Science, Vol 11, Iss 23, Pp n/a-n/a (2024)
Abstract The gut‐brain axis has recently emerged as a crucial link in the development and progression of Parkinson's disease (PD). Dysregulation of the gut microbiota has been implicated in the pathogenesis of this disease, sparking growing interes
Externí odkaz:
https://doaj.org/article/db97abcb19164e9283e8c4500ab95cab
Autor:
Keivan Faghih Niresi, Chong-Yung Chi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 5967-5983 (2022)
This article considers the inverse problem under hyperspectral images (HSIs) denoising framework. Recently, it has been shown that deep learning is a promising approach to image denoising. However, deep learning to be effective usually needs a massiv
Externí odkaz:
https://doaj.org/article/eb68a3e1caea46a8a6dc79aa29d3df79
Publikováno v:
IEEE Access, Vol 8, Pp 205340-205373 (2020)
The internet is progressing towards a new technology archetype grounded on smart systems, heavily relying on artificial intelligence (AI), machine learning (ML), blockchain platforms, edge computing, and the internet of things (IoT). The merging of I
Externí odkaz:
https://doaj.org/article/230e9d4ec99a484a90027f6b6bda1ee8
Publikováno v:
IEEE Access, Vol 7, Pp 15086-15101 (2019)
Effective hyperspectral unmixing (HU) is essential to the estimation of the underlying materials' signatures (endmember signatures) and their spatial distributions (abundance maps) from a given image (data) of a hyperspectral scene. Recently, investi
Externí odkaz:
https://doaj.org/article/7d06c9fa594f4aaf967856428c36836e
Publikováno v:
IEEE Access, Vol 5, Pp 13601-13616 (2017)
Heterogeneous network (HetNet), employing massive multiple-input multiple-output (MIMO), has been recognized as a promising technique to enhance network capacity, and to improve energy efficiency for the fifth generation of wireless communications. H
Externí odkaz:
https://doaj.org/article/6759c8e800ce4dcbb7b0a85895e49424
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
Chi et al. recently proposed two effective non-cancellation multistage (NCMS) blind source separation algorithms, one using the turbo source extraction algorithm (TSEA), called the NCMS-TSEA, and the other using the fast kurtosis maximization algorit
Externí odkaz:
https://doaj.org/article/346c4660906d4ac19c8a9f27759862d1
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Autor:
Keivan Faghih Niresi, Chong-Yung Chi
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 20:1-5
Publikováno v:
IEEE Network. 36:167-172
Publikováno v:
IEEE Transactions on Green Communications and Networking. 5:216-230
The information security and energy efficiency in cognitive radio (CR) networks have been extensively studied. However, the practical scenario involving multiple untrusted secondary users (SUs) in CR networks under the underlay spectrum sharing mecha