Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Yinhao Zhu"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract In recent decades, the application of organic fertilizer to agricultural soils has attracted wide attention. However, few studies have carefully explored the effects of humic acid fertilizer on soil temperature, radiation, and the physiology
Externí odkaz:
https://doaj.org/article/45a1b4898f4a462783c7075722d54cfa
Autor:
Hilmi Egilmez, Ankitesh Kumar Singh, Muhammed Coban, Marta Karczewicz, Yinhao Zhu, Yang Yang, Amir Said, Taco Cohen
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 2, Pp 441-452 (2021)
Most of the existing deep learning based end-to-end image/video coding (DLEC) architectures are designed for non-subsampled RGB color format. However, in order to achieve a superior coding performance, many state-of-the-art block-based compression st
Externí odkaz:
https://doaj.org/article/4b7f446941ee42c49925e0c7d4eadc44
Publikováno v:
Agronomy, Vol 13, Iss 1, p 235 (2023)
To optimize a suitable fertilization method needed for high nitrogen utilization and growth of mung bean in the black soil of Northeast China, a field experiment was carried out with 10 treatments based on isotope-tracing technology. The nitrogen fer
Externí odkaz:
https://doaj.org/article/cfc2099cb7a7404db8641ecacdfdcadf
Publikováno v:
Energies, Vol 12, Iss 9, p 1642 (2019)
This paper studies capacity allocation of an energy storage (ES) device which is shared by multiple homes in smart grid. Given a time-of-use (TOU) tariff, homes use the ES to shift loads from peak periods to off-peak periods, reducing electricity bil
Externí odkaz:
https://doaj.org/article/b1f6589e14424816b94ee0335af32e4f
Publikováno v:
Nature Environment and Pollution Technology. 21:1243-1249
In the past decades, the application of organ fertilizer in agricultural soils has attracted wide attention. However, few studies have carefully explored the effects of humic acid organic fertilizer on soil microbial colonies, soil enzyme activities,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e885453c33eb1a0b40f8304837e7fca
https://doi.org/10.46488/nept.2022.v21i03.030
https://doi.org/10.46488/nept.2022.v21i03.030
Publikováno v:
Nature Environment and Pollution Technology. 21:755-762
Rice quality and yield traits response to fertilizers under varying field conditions were obtained in our previous study. A better understanding of the intrinsic mechanism of fertilization in regulating rice quality and yield supports field operation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd59d848af3099e8e0a73cc327d3bb11
https://doi.org/10.46488/nept.2022.v21i02.038
https://doi.org/10.46488/nept.2022.v21i02.038
Publikováno v:
Advances in Social Science, Education and Humanities Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b1be52cc9fa5ee33c2f3c7e44d19cbe
https://doi.org/10.2991/assehr.k.220131.028
https://doi.org/10.2991/assehr.k.220131.028
Autor:
Scott S. Howard, Cody J. Smith, Vignesh Sundaresan, Qingfei Wang, Siyuan Zhang, Yide Zhang, Varun Mannam, Paul W. Bohn, Yinhao Zhu, Evan L. Nichols
Fluorescence microscopy imaging speed is fundamentally limited by the measurement signal-to-noise ratio (SNR). To improve image SNR for a given image acquisition rate, computational denoising techniques can be used to suppress noise. However, common
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bb1cf02e368f0e1aebcc723fdbcbbe5
https://doi.org/10.1101/2021.11.10.468102
https://doi.org/10.1101/2021.11.10.468102
Publikováno v:
Sustainability; Volume 14; Issue 24; Pages: 16983
As one of the artificial recharge technologies, the soil–aquifer treatment (SAT) system is used for the removal of nitrogen pollution from aquaculture wastewater. An adsorption-enhanced SAT system was designed to reduce the level of nitrogen pollut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6922af56504e4ab11a432b78a61744ff
https://doi.org/10.3390/su142416983
https://doi.org/10.3390/su142416983
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
We present PLONQ, a progressive neural image compression scheme which pushes the boundary of variable bitrate compression by allowing quality scalable coding with a single bitstream. In contrast to existing learned variable bitrate solutions which pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a228b8436bc9528ca1b70b470e02077d
https://doi.org/10.1109/icip42928.2021.9506026
https://doi.org/10.1109/icip42928.2021.9506026