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| Title |
Detection Method of Homograph Internationalized Domain Names with OCR
|
|---|---|
| Published in |
Journal of Information Processing, January 2019
|
| DOI | 10.2197/ipsjjip.27.536 |
| Authors |
Yuta Sawabe, Daiki Chiba, Mitsuaki Akiyama, Shigeki Goto |
Twitter Demographics
The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 44% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 20% |
| Student > Bachelor | 1 | 20% |
| Lecturer | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 40% |
| Agricultural and Biological Sciences | 1 | 20% |
| Engineering | 1 | 20% |
| Unknown | 1 | 20% |