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 |
Brain Health Assessment via Classification of EEG Signals for Seizure and Non-seizure Conditions Using Extreme Learning Machine (ELM)
|
---|---|
Chapter number | 10 |
Book title |
Applications of Artificial Intelligence Techniques in Engineering
|
Published by |
Springer, Singapore, January 2019
|
DOI | 10.1007/978-981-13-1822-1_10 |
Book ISBNs |
978-9-81-131821-4, 978-9-81-131822-1
|
Authors |
Nuzhat Fatema |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 1 | 20% |
Lecturer | 1 | 20% |
Lecturer > Senior Lecturer | 1 | 20% |
Unknown | 2 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 40% |
Earth and Planetary Sciences | 1 | 20% |
Unknown | 2 | 40% |