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 |
Prediction of Kinematic Viscosity and Density of Biodiesel Produced from Waste Sunflower and Canola Oils Using ANN and RSM: Comparative Study
|
---|---|
Chapter number | 117 |
Book title |
10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019
|
Published by |
Springer, Cham, November 2019
|
DOI | 10.1007/978-3-030-35249-3_117 |
Book ISBNs |
978-3-03-035248-6, 978-3-03-035249-3
|
Authors |
Youssef Kassem, Hüseyin Gökçekuş, Hüseyin Çamur, Kassem, Youssef, Gökçekuş, Hüseyin, Çamur, Hüseyin |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 33% |
Unknown | 2 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 1 | 33% |
Engineering | 1 | 33% |
Unknown | 1 | 33% |