云南高校图书馆联盟文献共享服务平台- GRUS

GRUS: 作品数：52被引量：251H指数：10; 导出分析报告; 相关领域：生物学农业科学更多>>; 相关作者：邹红菲吴庆明周立志郭玉民马建章更多>>; 相关机构：东北林业大学安徽大学中国科学院大学北京林业大学更多>>; 相关期刊：《Computers, Materials & Continua》《International Journal of Intelligent Computing and Cybernetics》《东北师大学报（自然科学版）》《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》更多>>; 相关基金：国家自然科学基金教育部“新世纪优秀人才支持计划”中国博士后科学基金黑龙江省博士后基金更多>>

A Hybrid Deep Learning Approach for Green Energy Forecasting in Asian Countries: 《Computers, Materials & Continua》2024年第11期2685-2708,共24页Tao Yan Javed Rashid Muhammad Shoaib Saleem Sajjad Ahmad Muhammad Faheem; funded by the Academy of Finland and the University of Vassa,Finland.; Electricity is essential for keeping power networks balanced between supply and demand,especially since it costs a lot to store.The article talks about different deep learning methods that are used to guess how much g...; 关键词：Green energy advanced predictive techniques convolutional neural networks(CNNs) gated recurrent units(GRUs) deep learning for electricity prediction green-electrical production ensemble technique

Fecal DNA metabarcoding reveals the dietary composition of wintering Red-crowned Cranes(Grus japonensis)被引量：1: 《Avian Research》2023年第4期647-655,共9页Hongyi Liu Wei Xu Nan Xu Wenwen Zhang Haoming Jiang Yongqiang Zhao Changhu Lu Ying Zhu Peng Xu; supported by the National Natural Science Foundation of China(No.31800453);the Biodiversity Investigation,Observation and Assessment Program(2019-2023);the Ministry of Ecology and Environment of China(2110404);the Science and Technology Department of Sichuan Province(No.2022YFS0487).; Understanding the diet of threatened wildlife is vital for species-specific conservation and habitat management measures.The Red-crowned Crane(Grus japonensis)is a vulnerable bird distributed in Northeast Asia.Previou...; 关键词：Dietary composition Dietary niche Metabarcoding Molecular diet analysis Red-crowned Crane

基于Bi-GRUs+A模型的智能配用电负荷分解方法: 《云南电业》2023年第6期8-12,18,共6页钱松王树冬陈振江周帆; 非侵入式负荷分解是能有效降低电能消耗的手段,本文在长短期记忆网络(LSTM)和门控递归单元神经网络(GRU)的基础上,建立一种新的智能配用电负荷分解模型.针对较长序列的输入信息,为了提高分解的精度,提出了注意力机制;为了从复杂量大的...; 关键词：长短期记忆网络门控递归单元神经网络电力市场智能配用电

Habitat selection and food choice of White-naped Cranes(Grus vipio)at stopover sites based on satellite tracking and stable isotope analysis: 《Avian Research》2022年第4期468-476,共9页Yunzhu Liu Lan Wu Jia Guo Shengwu Jiao Sicheng Ren Cai Lu Yuyu Wang Yifei Jia Guangchun Lei Li Wen Liying Su; This research was funded by National Natural Science Foundation of China(No.31971400);the Fundamental Research Funds for the Central Universities(No.BLX202144).; By combining satellite tracking,land-cover extracted from Landsite 8 images,and the traditional stable isotope analysis,we studied the habitat selection and food preference of a vulnerable migratory waterbird,the Whit...; 关键词：Biased random bridge Food resource STOPOVER Utilization distribution White-naped Crane

Consideration of climate change impacts will improve the efficiency of protected areas on the Qinghai-Tibet Plateau被引量：1: 《Ecosystem Health and Sustainability》2022年第1期181-193,共13页Zijian Lu Liangxu Wang Nan Meng Xuhuan Dai Jingyi Zhu Yanzheng Yang Ruonan Li Jinfeng Ma Hua Zheng; This research was funded by the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(Grant No.2019QZKK0307);the National Natural Science Foundation of China(Grant Nos.41925005 and 41701051);the Special Program of Research Center for Ecoenvironmental Sciences,at the Chinese Academy of Sciences(RCEES-TDZ-2021-11).; The protection of migratory birds and their habitats is important to the ecological stability of the Qinghai-Tibet Plateau(QTP).Currently protected areas(PAs)were designed in accordance with species distribution patte...; 关键词：Migratory bird protected area climate change grus nigricollis

三峡水库枯水期补水调度对洞庭湖越冬白鹤(Grus leucogeranus)摄食栖息地的影响被引量：1: 《湖泊科学》2022年第4期1208-1218,共11页戴凌全王煜汤正阳戴会超任玉峰常曼琪吴倩毛劲乔; 智慧长江与水电科学湖北省重点实验室开放研究基金项目(ZH20020001);国家自然科学基金青年基金项目(51809150);中国博士后基金特别资助项目(2019T120119);中国博士后基金面上项目(2020M670391)联合资助.; 摄食栖息地面积是反映越冬水鸟生存空间的直接指标,三峡水库运行后洞庭湖枯水期水文节律出现新的变化,给越冬水鸟摄食栖息地造成的影响尚不明确.为定量描述三峡水库枯水期不同出库流量对洞庭湖越冬水鸟摄食栖息地的影响,以洞庭湖典型的...; 关键词：三峡水库洞庭湖白鹤摄食生境物理栖息地模型加权可利用面积

Effects of foraging site distances on the intestinal bacterial community compositions of the sympatric wintering Hooded Crane(Grus monacha)and Domestic Duck(Anas platyrhynchos domesticus)被引量：5: 《Avian Research》2021年第2期269-279,共11页Wei Wang Lizhi Zhou Rong Fu Lei Cheng Shaofei Yan Nazia Mahtab Yunwei Song; The work was supported by the National Natural Science Foundation of China(Grant No.31772485).; Background:The composition of intestinal microflora in animals is affected by cross-species transmission.In a nature reserve,the foraging sites of waterbirds are relatively fixed,but frequently close to residential ar...; 关键词：Bacterial community Domestic Ducks Gut microbes Hooded Cranes Inter-species dispersal Intestinal microbe

安徽省鸟类分布新纪录——红喉潜鸟(Gavia stellata)和蓑羽鹤(Grus virgo)被引量：1: 《安徽大学学报（自然科学版）》2021年第2期99-101,共3页张财文马号号朱志夏家振虞磊李春林张保卫; 大别山区生物多样性综合科学考察子课题3(2019FY101803)。; 2019年12月安徽省岳西县来榜镇森林公安在其辖区(116°11′46.94″E,30°55′21.99″N,海拔416 m)救助到一只红喉潜鸟(Gavia stellata);2020年12月笔者在合肥市牛角大圩(117°16′2.42″E,31°40′1.15″N,海拔10 m)发现一只蓑羽鹤(Grus...; 关键词：安徽省分布新纪录红喉潜鸟蓑羽鹤

四川荥经县境内黑颈鹤(Grus nigricollis)迁徙路线及停歇地选择被引量：2: 《四川林业科技》2021年第1期83-90,共8页王聪程勇朱恒大韦定菊李波张洋姚永芳倪庆永; 四川省荥经县“芦山地震灾后重建”项目(荥政采招[2014]28-1号)。; 黑颈鹤(Grus nigricollis)为国家I级重点保护野生动物,其迁徙路线和动态始终是研究热点之一,对这一濒危物种的保护具有重要意义。四川省荥经县辖区是黑颈鹤迁徙所途经和停歇的重要区域之一,但长期以来缺乏系统的监测及针对性管理。本研...; 关键词：黑颈鹤迁徙动态停歇地荥经

Facial expression recognition based on bidirectional gated recurrent units within deep residual network: 《International Journal of Intelligent Computing and Cybernetics》2020年第4期527-543,共17页Wenjuan Shen Xiaoling Li; supported by a fund:science and technology research project of education department of Jiangxi province in 2019.(No GJJ191573).; Purpose-recent years,facial expression recognition has been widely used in human machine interaction,clinical medicine and safe driving.However,there is a limitation that conventional recurrent neural networks can onl...; 关键词：Facial expression recognition Inception-W model Bi-GRUs structure Spatial and temporal features Deep residual networks

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