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Mendeley readers
Chapter title |
Enhancing Ensemble Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnostic Using Optimized EKF-RBFN Trained Prototypes
|
---|---|
Chapter number | 6 |
Book title |
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018)
|
Published by |
Springer, Cham, December 2018
|
DOI | 10.1007/978-3-030-17065-3_6 |
Book ISBNs |
978-3-03-017064-6, 978-3-03-017065-3
|
Authors |
Vincent Adegoke, Daqing Chen, Ebad Banissi, Safia Barsikzai, Adegoke, Vincent, Chen, Daqing, Banissi, Ebad, Barsikzai, Safia |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 33% |
Unspecified | 1 | 8% |
Researcher | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Unknown | 5 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 25% |
Engineering | 2 | 17% |
Medicine and Dentistry | 1 | 8% |
Unspecified | 1 | 8% |
Unknown | 5 | 42% |