You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Efficient Extreme Learning Machine (ELM) Based Algorithm for Electrocardiogram (ECG) Heartbeat Classification
|
---|---|
Chapter number | 41 |
Book title |
Advances in Neuroergonomics and Cognitive Engineering
|
Published by |
Springer, Cham, July 2020
|
DOI | 10.1007/978-3-030-51041-1_41 |
Book ISBNs |
978-3-03-051040-4, 978-3-03-051041-1
|
Authors |
Khurram Khalil, Umer Asgher, Yasar Ayaz, Riaz Ahmad, Salman Nazir, Sara Ali, Sofia Scataglini, Noriyuki Oka, Khalil, Khurram, Asgher, Umer, Ayaz, Yasar, Ahmad, Riaz, Nazir, Salman, Ali, Sara, Scataglini, Sofia, Oka, Noriyuki |
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 % |
---|---|---|
Student > Bachelor | 2 | 25% |
Professor | 1 | 13% |
Student > Ph. D. Student | 1 | 13% |
Researcher | 1 | 13% |
Unknown | 3 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 25% |
Nursing and Health Professions | 1 | 13% |
Neuroscience | 1 | 13% |
Computer Science | 1 | 13% |
Unknown | 3 | 38% |