Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Yiming XUE"'
Publikováno v:
BMC Biology, Vol 22, Iss 1, Pp 1-27 (2024)
Abstract Background Nematodes are the most abundant metazoans in marine sediments, many of which are bacterivores; however, how habitat bacteria affect physiological outcomes in marine nematodes remains largely unknown. Results Here, we used a Litodi
Externí odkaz:
https://doaj.org/article/7c202e6b61e842018b99ff04904b66a4
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 4, Pp 17-21 (2024)
Objective During the train debugging process, significant vibrations may occur in the steel rail beams of high-speed maglev maintenance bases due to their unique structural characteristics, potentially leading to bolt loosening issues. This phenomeno
Externí odkaz:
https://doaj.org/article/6461985b3b9f4402b881c767390e1b3b
Publikováno v:
Tongxin xuebao, Vol 44, Pp 149-158 (2023)
Aiming at issues such as illegal dissemination of network audio data and privacy leakage, a stereo robust watermark algorithm based on parameter optimization was proposed.Firstly, the watermark was embedded by modifying the singular value ratio of od
Externí odkaz:
https://doaj.org/article/fa6f9b204fce427e9a615e09e5697d88
Publikováno v:
Tongxin xuebao, Vol 43, Pp 101-112 (2022)
Aiming at the high performance requirements of signature verification for specific scenarios such as blockchain, a high-speed hardware architecture of Ed25519 was proposed.To reduce the number of calculations for point addition and point double, a mu
Externí odkaz:
https://doaj.org/article/641ec4d954de4b189d35b850c8e6e0f1
Publikováno v:
IEEE Access, Vol 7, Pp 50339-50346 (2019)
The PHase-Aware pRojection Model (PHARM) feature set, built as phase-aware histograms of quantized projections obtained by convolving residuals with random matrices, achieves competitive detection performance against modern adaptive JPEG steganograph
Externí odkaz:
https://doaj.org/article/9fa5cc5751584345af27d67262bbc455
Publikováno v:
IEEE Access, Vol 7, Pp 153724-153733 (2019)
The speech signal is different from the typical audio in terms of spectral bandwidth, intensity distribution, and signal continuity, thus how to achieve high imperceptibility and strong robustness for speech steganography is a big challenge. In this
Externí odkaz:
https://doaj.org/article/98d60573c881495ab4d1bac9981b91c2
Publikováno v:
Sensors, Vol 20, Iss 16, p 4601 (2020)
Currently, various agricultural image classification tasks are carried out on high-resolution images. However, in some cases, we cannot get enough high-resolution images for classification, which significantly affects classification performance. In t
Externí odkaz:
https://doaj.org/article/cff736d8fe244502852cc1b082f48cb4
Publikováno v:
Symmetry, Vol 12, Iss 4, p 561 (2020)
Due to the limited varieties and sizes of existing public hyperspectral image (HSI) datasets, the classification accuracies are higher than 99% with convolutional neural networks (CNNs). In this paper, we presented a new HSI dataset named Shandong Fe
Externí odkaz:
https://doaj.org/article/7d78ab2a2a1f422693c399155faa4f7d
Publikováno v:
IEEE Access, Vol 7, Pp 106882-106882 (2019)
We would like to add funding information regarding our article [1] “This work was supported by the Fundamental Research Funds for the Central Universities under Grant 328201905.”
Externí odkaz:
https://doaj.org/article/0dede5c4ddc84e52beeb937d34ac7a63
Publikováno v:
Computer Modeling in Engineering & Sciences. 136:1603-1642
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c43bd1e901f6f5edda04ea491a72c746
https://doi.org/10.32604/cmes.2023.026231
https://doi.org/10.32604/cmes.2023.026231