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Mendeley readers
Chapter title |
NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems
|
---|---|
Chapter number | 17 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-30487-4_17 |
Book ISBNs |
978-3-03-030486-7, 978-3-03-030487-4
|
Authors |
Mohammad Loni, Ali Zoljodi, Sima Sinaei, Masoud Daneshtalab, Mikael Sjödin, Loni, Mohammad, Zoljodi, Ali, Sinaei, Sima, Daneshtalab, Masoud, Sjödin, Mikael |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 1 | 9% |
Lecturer | 1 | 9% |
Lecturer > Senior Lecturer | 1 | 9% |
Unknown | 8 | 73% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 18% |
Engineering | 1 | 9% |
Unknown | 8 | 73% |