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Mendeley readers
Chapter title |
Detection and Classification of Road Damage Using R-CNN and Faster R-CNN: A Deep Learning Approach
|
---|---|
Chapter number | 58 |
Book title |
Cyber Security and Computer Science
|
Published by |
Springer, Cham, February 2020
|
DOI | 10.1007/978-3-030-52856-0_58 |
Book ISBNs |
978-3-03-052855-3, 978-3-03-052856-0
|
Authors |
Md. Shohel Arman, Md. Mahbub Hasan, Farzana Sadia, Asif Khan Shakir, Kaushik Sarker, Farhan Anan Himu, Arman, Md. Shohel, Hasan, Md. Mahbub, Sadia, Farzana, Shakir, Asif Khan, Sarker, Kaushik, Himu, Farhan Anan |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 19% |
Student > Ph. D. Student | 7 | 13% |
Student > Master | 3 | 6% |
Lecturer | 2 | 4% |
Student > Bachelor | 2 | 4% |
Other | 7 | 13% |
Unknown | 21 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 13 | 25% |
Computer Science | 6 | 12% |
Unspecified | 2 | 4% |
Energy | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Other | 3 | 6% |
Unknown | 25 | 48% |