Report for: Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring

Title	Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring
Published by	Institute of Electrical and Electronics Engineers (IEEE), October 2017
DOI	10.1109/dsaa.2017.31
Authors	Hung Nguyen, Sarah J. Maclagan, Tu Dinh Nguyen, Thin Nguyen, Paul Flemons, Kylie Andrews, Euan G. Ritchie, Dinh Phung

X Demographics

The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.

Type	Count	As %
Members of the public	19	54%
Scientists	15	43%
Science communicators (journalists, bloggers, editors)	1	3%

Mendeley readers

The data shown below were compiled from readership statistics for 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Country	Count	As %
Unknown	270	100%

Readers by professional status	Count	As %
Student > Master	50	19%
Student > Bachelor	30	11%
Student > Ph. D. Student	27	10%
Researcher	25	9%
Student > Doctoral Student	9	3%
Other	28	10%
Unknown	101	37%

Readers by discipline	Count	As %
Computer Science	59	22%
Agricultural and Biological Sciences	31	11%
Engineering	24	9%
Environmental Science	23	9%
Earth and Planetary Sciences	3	1%
Other	22	8%
Unknown	108	40%

Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring