Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Haojie, Hu"'
Autor:
Yinan Ai, Mingyu Yin, Liying Zhang, Haojie Hu, Haiqing Zheng, Wuwei Feng, Yixuan Ku, Xiquan Hu
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-13 (2024)
Abstract Background and purpose Working memory is critical for individuals and has been found to be improved by electrical stimulation of the left dorsolateral prefrontal cortex (DLPFC). However, the effects of different types of transcranial electri
Externí odkaz:
https://doaj.org/article/f0ddf06d777f4be6b366a656e78a4ccc
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 4097 (2024)
Clustering, as a classical unsupervised artificial intelligence technology, is commonly employed for hyperspectral image clustering tasks. However, most existing clustering methods designed for remote sensing tasks aim to solve a non-convex objective
Externí odkaz:
https://doaj.org/article/74da303e6e34419aa6f648e58ba0fa1a
Metabolomic changes in Cryptocaryon irritans from Larimichthys crocea after exposure to copper plate
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
Cryptocaryon irritans is a highly detrimental parasite in mariculture, causing significant economic losses to the aquaculture industry of Larimichthys crocea. In recent years, copper and copper alloy materials have been used to kill parasites. In thi
Externí odkaz:
https://doaj.org/article/dcad7a7c1075462f8697e864812cd5e1
Publikováno v:
Biology, Vol 13, Iss 7, p 550 (2024)
The Pearl River Estuary (PRE) is one of the world’s most urbanized subtropical coastal systems. It presents a typical environmental gradient suitable for studying estuarine phytoplankton communities’ dynamics and photosynthetic physiology. In Sep
Externí odkaz:
https://doaj.org/article/c7278595f68c484a929c4c7478eeff58
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2464 (2024)
The objective of cross-scene hyperspectral image (HSI) classification is to develop models capable of adapting to the “domain gap” that exists between different scenes, enabling accurate object classification in previously unseen scenes. Many res
Externí odkaz:
https://doaj.org/article/15b16f7f166c4104829c066747875234
Publikováno v:
Shipin gongye ke-ji, Vol 43, Iss 2, Pp 390-396 (2022)
Compared with other microalgae, the edible algae as a new resource is rich in protein, algal polysaccharides, lipids, astaxanthin and carotenoids and other active substances. Therefore, it is of great significance to understand the new resource food
Externí odkaz:
https://doaj.org/article/bf790b44374a4427bded3602a5834f23
Autor:
Kexin Zhang, Weiren Zhang, Ronghua Li, Junkai Lu, Qingwei Chen, Haojie Hu, Fei Yin, Changkao Mu, Weiwei Song, Chunlin Wang
Publikováno v:
Fishes, Vol 8, Iss 5, p 249 (2023)
Mesanophrys sp. is reported to be highly pathogenic to marine crustaceans. This study presents the first report of Mesanophrys sp. infection in the mud crab (Scylla paramamosain). In this study, we first recorded the survival rates of an experimental
Externí odkaz:
https://doaj.org/article/f989647aa20a47538a37c3c6c2c2e0e9
Publikováno v:
International Journal of Aerospace Engineering, Vol 2022 (2022)
The satellite clock bias (SCB) prediction plays an important role in high-accuracy and real-time navigation and positioning. When predicting the SCB, the performance of the BP neural network is affected by the local optimum due to inaccurate initial
Externí odkaz:
https://doaj.org/article/d119273bd279481a947c94fb9e9b79c4
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 589 (2023)
Hyperspectral anomaly detection (HAD) plays an important role in military and civilian applications and has attracted a lot of research. The well-known Reed–Xiaoli (RX) algorithm is the benchmark of HAD methods. Based on the RX model, many variants
Externí odkaz:
https://doaj.org/article/eb695dd59e1949bba8a35012dbef5cbd
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6224 (2022)
Graph neural networks (GNNs) have been widely applied for hyperspectral image (HSI) classification, due to their impressive representation ability. It is well-known that typical GNNs and their variants work under the assumption of homophily, while mo
Externí odkaz:
https://doaj.org/article/c6002d17ea8e4928a8cf79acfa762255