Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization
Springer International Publishing
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Timeline
X Demographics
Mendeley readers
| Chapter title |
Deep Learning Modeling of Groundwater Pollution Sources
|
|---|---|
| Book title |
Proceedings of the 22nd Engineering Applications of Neural Networks Conference
|
| Published by |
Springer, Cham, July 2021
|
| DOI | 10.1007/978-3-030-80568-5_14 |
| Book ISBNs |
978-3-03-080567-8, 978-3-03-080568-5
|
| Authors |
Yiannis N. Kontos, Theodosios Kassandros, Konstantinos L. Katsifarakis, Kostas Karatzas, Kontos, Yiannis N., Kassandros, Theodosios, Katsifarakis, Konstantinos L., Karatzas, Kostas |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 67% |
| Student > Bachelor | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1 | 33% |
| Earth and Planetary Sciences | 1 | 33% |
| Unknown | 1 | 33% |