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Mendeley readers
Chapter title |
An Automatic Modeling Method of Kansei Evaluation from Product Data Using a CNN Model Expressing the Relationship Between Impressions and Physical Features
|
---|---|
Chapter number | 12 |
Book title |
HCI International 2019 - Posters
|
Published by |
Springer, Cham, July 2019
|
DOI | 10.1007/978-3-030-23522-2_12 |
Book ISBNs |
978-3-03-023521-5, 978-3-03-023522-2
|
Authors |
Hidemichi Suzuki, Atsuhiro Yamada, Kensuke Tobitani, Sho Hashimoto, Noriko Nagata, Suzuki, Hidemichi, Yamada, Atsuhiro, Tobitani, Kensuke, Hashimoto, Sho, Nagata, Noriko |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 3 | 38% |
Student > Ph. D. Student | 1 | 13% |
Professor > Associate Professor | 1 | 13% |
Student > Master | 1 | 13% |
Unknown | 2 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 25% |
Engineering | 2 | 25% |
Social Sciences | 1 | 13% |
Arts and Humanities | 1 | 13% |
Unknown | 2 | 25% |