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Deep Learning Applications, Volume 2

Overview of attention for book
Attention for Chapter 4: Diagnosis of Bearing Faults in Electrical Machines Using Long Short-Term Memory (LSTM)
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Citations

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15 Mendeley
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Chapter title
Diagnosis of Bearing Faults in Electrical Machines Using Long Short-Term Memory (LSTM)
Chapter number 4
Book title
Deep Learning Applications, Volume 2
Published by
Springer, Singapore, January 2021
DOI 10.1007/978-981-15-6759-9_4
Book ISBNs
978-9-81-156758-2, 978-9-81-156759-9
Authors

Russell Sabir, Daniele Rosato, Sven Hartmann, Clemens Gühmann, Sabir, Russell, Rosato, Daniele, Hartmann, Sven, Gühmann, Clemens

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 27%
Professor > Associate Professor 2 13%
Lecturer > Senior Lecturer 1 7%
Student > Bachelor 1 7%
Lecturer 1 7%
Other 2 13%
Unknown 4 27%
Readers by discipline Count As %
Engineering 4 27%
Computer Science 3 20%
Chemical Engineering 1 7%
Nursing and Health Professions 1 7%
Materials Science 1 7%
Other 1 7%
Unknown 4 27%