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浏览/检索结果: 共17条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 On the nomenclatural status of type genera in Coleoptera (Insecta) 期刊论文  OAI收割 ZOOKEYS, 2024, 期号: 1194, 页码: 1-981 作者:  Bouchard, Patrice;  Bousquet, Yves;  Davies, Anthony E.;  Cai, Chenyang   |  收藏  |  浏览/下载：6/0  |  提交时间：2025/03/28 Beetles  catalogue  classification  family-group name  nomenclature  publication dates  type genus  type species   Diversity and conservation of higher plants in Northwest Yunnan-Southeast Tibet 期刊论文  OAI收割 GLOBAL ECOLOGY AND CONSERVATION, 2023, 卷号: 42, 页码: e02396 作者:  Li,Wenqing;  Sun,Lu;  Chen,Kaiyun;  Zhang,Zhiming;  Chen,Jiahui   |  收藏  |  浏览/下载：23/0  |  提交时间：2024/07/30 Northwest Yunnan-Southeast Tibet  Higher plants  Taxonomic richness  Phylogenetic diversity  Priority protection  PHYLOGENY GROUP CLASSIFICATION  EVOLUTIONARY HISTORY  SPECIES RICHNESS  BIODIVERSITY SCIENCE  HENGDUAN MOUNTAINS  FLOWERING PLANTS  VASCULAR PLANTS  SEED PLANTS  LAND-USE  CHINA   Comparative analyses of chloroplast genomes from Six Rhodiola species: variable DNA markers identification and phylogenetic relationships within the genus 期刊论文  OAI收割 BMC GENOMICS, 2022, 卷号: 23, 期号: 1, 页码: 577 作者:  Zhao, Kaihui;  Li, Lianqiang;  Quan, Hong;  Yang, Junbo;  Zhang, Zhirong   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/04/30 Rhodiola  Chloroplast genome  Divergent hotspots  Phylogenetic analysis  GROUP CLASSIFICATION  FLOWERING PLANTS  PLASTID GENOMES  TRNH-PSBA  SEQUENCE  EVOLUTION  FAMILIES  REPEATS  UPDATE  ORDERS   Glaucoma Detection with Retinal Fundus Images Using Segmentation and Classification 期刊论文  OAI收割 Machine Intelligence Research, 2022, 卷号: 19, 期号: 6, 页码: 563-580 作者:  Thisara Shyamalee;  Dulani Meedeniya   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/04/23 Attention U-Net  segmentation  classification  Inception-v3  visual geometry group 19 (VGG19)  residual neural network 50 (ResNet50)  glaucoma  fundus images   Circular Complex-Valued GMDH-Type Neural Network for Real-Valued Classification Problems 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5285-5299 作者:  Xiao, Jin;  Jia, Yanlin;  Jiang, Xiaoyi;  Wang, Shouyang   |  收藏  |  浏览/下载：39/0  |  提交时间：2021/04/26 Biological system modeling  Data models  Biological neural networks  Predictive models  Neurons  Mathematical model  Complex-valued external criterion  complex-valued group method of data handling (GMDH)-type neural network  parameter estimation  real-valued classification   D-OPTIMALITY OF GROUP TESTING FOR JOINT ESTIMATION OF CORRELATED RARE DISEASES WITH MISCLASSIFICATION 期刊论文  OAI收割 STATISTICA SINICA, 2017, 卷号: 27, 期号: 2, 页码: 823-838 作者:  Li, Qizhai;  Liu, Aiyi;  Xiong, Wenjun   |  收藏  |  浏览/下载：20/0  |  提交时间：2018/07/30 Binary outcomes  classification error  D-optimal criterion  group testing  maximum likelihood estimate  prevalence   A monograph of the Anisophylleaceae (Cucurbitales) with description of 18 new species of Anisophyllea 期刊论文  OAI收割 PHYTOTAXA, 2015, 卷号: 229, 期号: 1, 页码: 1-189 作者:  Chen, Xin;  He, Hai;  Zhang, Li-Bing 收藏  |  浏览/下载：35/0  |  提交时间：2016/12/22 SIEVE-ELEMENT PLASTIDS  PHYLOGENY GROUP CLASSIFICATION  FLOWERING PLANTS  ALLIED GROUPS  RHIZOPHORACEAE  MORPHOLOGY  EMBRYOLOGY  SEQUENCES  EVOLUTION  MYRTALES   Chamaecyparis montane cloud forest in Taiwan: ecology and vegetation classification 期刊论文  OAI收割 ECOLOGICAL RESEARCH, 2015, 卷号: 30, 期号: 5, 页码: 771-791 作者:  Li, Ching-Feng;  Zeleny, David;  Chytry, Milan;  Chen, Ming-Yih;  Chen, Tze-Ying   |  收藏  |  浏览/下载：34/0  |  提交时间：2022/09/13 Cocktail Determination Key  Seasonality of moisture  Species group  Supervised classification  Topography   A new proof for classification of irreducible modules of a Hecke algebra of type An-1 期刊论文  OAI收割 JOURNAL OF ALGEBRA, 2009, 卷号: 321, 期号: 11, 页码: 3594-3600 作者:  Xi, Nanhua   |  收藏  |  浏览/下载：16/0  |  提交时间：2018/07/30 Hecke algebra of symmetric group  Classification of irreducible modules   Remote chlorophyll-a retrieval in eutrophic inland waters by concentration classification Taihu Lake case study 会议论文  OAI收割 International Conference on Earth Observation Data Processing and Analysis, ICEODPA,, Wuhan, China, December 28, 2008 - December 30,2008 Du, Cong; Wang, Shixin; Zhou, Yi; Yan, Fuli 收藏  |  浏览/下载：33/0  |  提交时间：2014/12/07 In order to improve the precision of phytoplankton chlorophyll-a (chla) concentration retrieval  this study classified the data into two groups (the high and the low) by chla concentration with the threshold of 50gA&bullL-1. And then build the statistical models for each group. Particularly  a modifying factor OSS/TSS was used to unmixing the spectra in the low model to improve the low relationship between spectral reflectance and chla concentrations. As a result  the concentration classification model allowed estimation of chla with a root mean square error (RMSE) of 21.12gA&bullL-1 and the determination coefficient (R2) was 0.92  comparing with RMSE of chla estimation was 35.72gA&bullL-1 and R2=0.72 in the traditional model. It shows that concentration classification is a helpful method for accurate remote chla retrieval in eutrophic inland waters. 2008 SPIE.