Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains

标题
Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains
作者
关键词
Damaged pollen, Fossil pollen, Machine learning, Image analysis, Z-stacking, Amaranthaceae
出版物
COMPUTERS & GEOSCIENCES
Volume 140, Issue -, Pages 104498
出版商
Elsevier BV
发表日期
2020-04-15
DOI
10.1016/j.cageo.2020.104498

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started