Výsledky vyhledávání - "Fanzhou Kong"

Akademický článek

AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery

Autor: Le Gao, Xiaofeng Li, Fanzhou Kong, Rencheng Yu, Yuan Guo, Yibin Ren

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2782-2796 (2022)

This article developed a scalable deep-learning model, the AlgaeNet model, for floating Ulva prolifera (U. prolifera) detection in moderate resolution imaging spectroradiometer (MODIS) and synthetic aperture radar (SAR) images. We labeled 1055/4071 p

Externí odkaz: https://doaj.org/article/589519630f36424fac07ccdeee0078b9

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Akademický článek

Combing machine learning and elemental profiling for geographical authentication of Chinese Geographical Indication (GI) rice

Autor: Fei Xu, Fanzhou Kong, Hong Peng, Shuofei Dong, Weiyu Gao, Guangtao Zhang

Publikováno v: npj Science of Food, Vol 5, Iss 1, Pp 1-6 (2021)

Abstract Identification of geographical origin is of great importance for protecting the authenticity of valuable agri-food products with designated origins. In this study, a robust and accurate analytical method that could authenticate the geographi

Externí odkaz: https://doaj.org/article/b65f6fbe740d4dac912a39d4c09b304e

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Screening for lipophilic marine toxins and their potential producers in coastal waters of Weihai in autumn, 2020

Autor: Huixia Geng, Hongxiao Sun, Chao Liu, Fanzhou Kong, Qingchun Zhang, Tian Yan, Rencheng Yu

Publikováno v: Journal of Oceanology and Limnology. 40:2218-2230

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fa85bdc182b9462d95eff8964a4dcf04
https://doi.org/10.1007/s00343-022-2301-0

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Newly recorded bloom-forming dinoflagellate Gymnodinium impudicum in Haizhou Bay, Yellow Sea, China

Autor: Jinxiu Wang, Fanzhou Kong, Yunfeng Wang, Nanjing Ji, Minjie Song, Zhangxi Hu, Zhuang Niu, Chao Liu, Xin Wang, Yuanyuan Sun, Rencheng Yu, Tian Yan

Publikováno v: Journal of Oceanology and Limnology. 40:2430-2445

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::605cfecbb99d5ddc6832ab011db035b9
https://doi.org/10.1007/s00343-022-1402-0

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The green tide in Yingkou, China in summer 2021 was caused by a subtropical alga—Ulva meridionalis (Ulvophyceae, Chlorophyta)

Autor: Xiaoqian Lü, Hao Xu, Sheng Zhao, Fanzhou Kong, Tian Yan, Peng Jiang

Publikováno v: Journal of Oceanology and Limnology. 40:2354-2363

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d2fe18324d9731ef2b393447622e0cfc
https://doi.org/10.1007/s00343-022-2014-4

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Tempo-spatial distribution of Ulva spp. micro-propagules in the Yellow Sea during and after green tide in 2019

Autor: Jin Zhao, Fanzhou Kong, Qianchun Liu, Fengjie Li, Xiu Wei, Tian Yan, Peng Jiang

Publikováno v: Journal of Oceanology and Limnology. 40:2462-2472

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3bd15024a6083f1f1b782651b3aa8351
https://doi.org/10.1007/s00343-022-1365-1

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Dynamics of Phaeocystis globosa bloom and implications for its seed sources in the Beibu Gulf, China

Autor: Zhuang Niu, Weibing Guan, Jinxiu Wang, Yongquan Yuan, Fanzhou Kong, Chao Liu, Qingchun Zhang, Rencheng Yu

Publikováno v: Journal of Oceanology and Limnology. 40:2385-2400

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8025d1e5a103e76967c1feb2c4e0a994
https://doi.org/10.1007/s00343-022-1447-0

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Increased diversity and environmental threat of harmful algal blooms in the Southern Yellow Sea, China

Autor: Minjie Song, Tian Yan, Fanzhou Kong, Yunfeng Wang, Mingjiang Zhou

Publikováno v: Journal of Oceanology and Limnology. 40:2107-2119

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::882bf9fe1adfcef6a9f20af2143d864f
https://doi.org/10.1007/s00343-021-1209-4

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The unknown lipids project: harmonized methods improve compound identification and data reproducibility in an inter-laboratory untargeted lipidomics study

Autor: Tong Shen, Ciara Conway, Kaitlin R. Rempfert, Jennifer E. Kyle, Sean M. Colby, David A. Gaul, Hani Habra, Fanzhou Kong, Kent J. Bloodsworth, Douglas Allen, Bradley S. Evans, Xiuxia Du, Facundo M. Fernandez, Thomas O. Metz, Oliver Fiehn, Charles R. Evans

Publikováno v: bioRxiv

Untargeted lipidomics allows analysis of a broader range of lipids than targeted methods and permits discovery of unknown compounds. Previous ring trials have evaluated the reproducibility of targeted lipidomics methods, but inter-laboratory comparis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d7c51e53d9410b8aab484282ec3baa5
https://doi.org/10.1101/2023.02.01.526566

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Combing machine learning and elemental profiling for geographical authentication of Chinese Geographical Indication (GI) rice

Autor: Weiyu Gao, Guangtao Zhang, Shuofei Dong, Hong Peng, Fanzhou Kong, Fei Xu

Publikováno v: npj Science of Food, Vol 5, Iss 1, Pp 1-6 (2021)
NPJ Science of Food

Identification of geographical origin is of great importance for protecting the authenticity of valuable agri-food products with designated origins. In this study, a robust and accurate analytical method that could authenticate the geographical origi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ef0424a0abb3900a63621bfe17af2cf
https://doaj.org/article/b65f6fbe740d4dac912a39d4c09b304e

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