当前位置: 中文主页 >> 科学研究 >> 论文成果

A deep-learning-based workflow to assess taxonomic affinity of hominid teeth with a test on discriminating Pongo and Homo upper molars

发布时间：2022-11-30 点击数：

所属单位：文化遗产研究院

论文名称：A deep-learning-based workflow to assess taxonomic affinity of hominid teeth with a test on discriminating Pongo and Homo upper molars

发表刊物：AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY

第一作者：易智星

论文编号：B236AF6F71FF486BBDAADFD79777616D

期号：2

字数：10

是否译文：否

发表时间：2021-08

上一条： Combined U-series dating of cave pearls and mammal fossils: Constraint on the age of a late middle pleistocene Ailuropoda–Stegodon fauna from the Diaozhongyan Cave, Guangxi, South China

下一条：广西更新世早期吹风洞的古环境——来自巨猿动物群牙釉质C、O同位素的证据

廖卫 (副研究员)

A deep-learning-based workflow to assess taxonomic affinity of hominid teeth with a test on discriminating Pongo and Homo upper molars