Zobrazeno 1 - 10
of 213
pro vyhledávání: '"Rui Zhu"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10174-10187 (2024)
The existence of adversarial examples highlights the vulnerability of deep neural networks, which can change the recognition results by adding well-designed perturbations to the original image. It brings a great challenge to the remote sensing images
Externí odkaz:
https://doaj.org/article/be3e81cc14034878940810aa7f21d321
Autor:
Mengmeng Bai, Rui Zhu, Jianxin Guo, Feng Wang, Liping Wang, Hangjie Zhu, Lei Huang, Yushuai Zhang
Publikováno v:
IEEE Access, Vol 11, Pp 113227-113243 (2023)
With the continuous development of the communication industry, there is a shift in real-time services from 4G networks to Delay Tolerable (DT) services in the context of 5G/B5G networks. Additionally, energy consumption control poses significant chal
Externí odkaz:
https://doaj.org/article/1b13aa4558a749f69de123006e39486f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8049-8062 (2023)
Obtaining Road information from high-resolution remote sensing images is gaining attention in intelligent transportation systems. Existing road extraction methods tend to improve road connectivity with graph convolution or global attention, however,
Externí odkaz:
https://doaj.org/article/1b2ea60dbf22403ab471e00a5ade3e7f
Publikováno v:
IEEE Access, Vol 11, Pp 27414-27425 (2023)
Non-orthogonal multiple access (NOMA) with the effective successive interference cancellation (SIC) is proved as a promising solution to improve the spectrum efficiency (SE). However, since the effective SIC usually requires complex algorithm and lea
Externí odkaz:
https://doaj.org/article/30cd7aeb72974f5e9e5a471281536c86
Publikováno v:
IEEE Access, Vol 10, Pp 30974-30981 (2022)
Convolutional neural network-based image super-resolution methods have achieved great success in recent years. However, the huge memory and computational costs make most of the existing methods difficult to be applied to resource-constrained scenario
Externí odkaz:
https://doaj.org/article/596b1dde00d84d2c9653dcbe67a09076
An Ultra-Wideband Circular Polarization-Maintaining Metasurface and Its Application in RCS Reduction
Publikováno v:
IEEE Access, Vol 9, Pp 103967-103974 (2021)
In this work, a circular polarized (CP) maintaining metasurface is proposed, which can realize ultra-wideband CP-maintaining reflection and make its co-polarization reflection coefficient under CP incidence close to 1.0 in the frequency band 6.2-26.4
Externí odkaz:
https://doaj.org/article/25625e4077204b9c976776039bd41c90
Publikováno v:
IEEE Access, Vol 8, Pp 70005-70012 (2020)
Compound-protein interaction (CPI) is one of the essential interaction patterns in living organisms. However, its underlying mechanism has not been fully revealed because of its complicated processes. Determining CPIs with traditional experiments can
Externí odkaz:
https://doaj.org/article/1fadc234d4e34c34ac0b92d7f9d59139
Publikováno v:
IEEE Access, Vol 8, Pp 42749-42759 (2020)
KNN-Based outlier detection over IoT streaming data is a fundamental problem, which has many applications. However, due to its computational complexity, existing efforts cannot efficiently work in the IoT streaming data. In this paper, we propose a n
Externí odkaz:
https://doaj.org/article/873593f073ee4ba59b8e482bb2f060ea
Publikováno v:
IEEE Access, Vol 8, Pp 91336-91350 (2020)
Medical image fusion can combine information from multi-modality images and express them through a single image. How to design a fusion method to preserve more information becomes a hot topic. In this paper, we propose a novel multi-modality medical
Externí odkaz:
https://doaj.org/article/84864b15ef6d407d98b62122460c620d
Publikováno v:
IEEE Access, Vol 8, Pp 1475-1485 (2020)
Outlier detection over sliding window is a fundamental problem in the domain of streaming data management, which has has been studied over 10 years. The key to supporting outlier detection is to construct a neighbour list for each object, which is us
Externí odkaz:
https://doaj.org/article/a75b803e8b804b2b86c32d00a94fd9ec