Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rongqian Zhang"'
Autor:
Yicheng Peng, Haoyu Qiu, Yuyang Qian, Jiaxin Chen, Guoyu Qin, Pengyao Li, Rongqian Zhang, Meichun Duan
Publikováno v:
Plants, Vol 13, Iss 12, p 1680 (2024)
Field ridges are commonly viewed as the stable semi-natural habitats for maintaining plant diversity in the agricultural landscape. The high plant diversity could further support higher animal diversity. But following the adoption of well-facilitated
Externí odkaz:
https://doaj.org/article/6c406978102848628ff3702af1bc6f88
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
CALPUFF, as a Lagrangian puff modeling system, is mostly used in the field of atmospheric environment research and risk assessment. CALPUFF performs well for short-term and short-range release scenarios over complex terrain, as well as long-term and
Externí odkaz:
https://doaj.org/article/7a4b18e8c5964d5caf5623aa5fb71e73
Publikováno v:
Neurocomputing. 490:413-430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e0fb32892d8e7b023efeccadd37e394
https://doi.org/10.1016/j.neucom.2021.12.015
https://doi.org/10.1016/j.neucom.2021.12.015
Publikováno v:
2023 IEEE Wireless Communications and Networking Conference (WCNC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7aa367e7a7a56c2c26275c2e3ba3311e
https://doi.org/10.1109/wcnc55385.2023.10118953
https://doi.org/10.1109/wcnc55385.2023.10118953
Autor:
Rongqian Zhang, Yupeng Zhang, Yuyao Liu, Yunjie Guo, Yueyang Shen, Daxuan Deng, Yongkai Joshua Qiu, Ivo D. Dinov
Publikováno v:
Neural Comput Appl
Many modern techniques for analyzing time-varying longitudinal data rely on parametric models to interrogate the time-courses of univariate or multivariate processes. Typical analytic objectives include utilizing retrospective observations to model c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::557e5238e9361b4f80646420ef66ea71
https://doi.org/10.1007/s00521-021-06789-8
https://doi.org/10.1007/s00521-021-06789-8
Combining data collected from multiple study sites is becoming common and is advantageous to researchers to increase the generalizability and replicability of scientific discoveries. However, at the same time, unwantedinter-scanner biasesare commonly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a5d65bfdbffd5140ea04a986068f238
https://doi.org/10.1101/2022.08.01.502396
https://doi.org/10.1101/2022.08.01.502396
