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Mendeley readers
Chapter title |
Predicting the Calorific Value of Municipal Solid Waste of Ghaziabad City, Uttar Pradesh, India, Using Artificial Neural Network Approach
|
---|---|
Chapter number | 46 |
Book title |
Soft Computing: Theories and Applications
|
Published by |
Springer, Singapore, January 2018
|
DOI | 10.1007/978-981-10-5699-4_46 |
Book ISBNs |
978-9-81-105698-7, 978-9-81-105699-4
|
Authors |
Dipti Singh, Ajay Satija, Athar Hussain |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 3 | 17% |
Professor > Associate Professor | 3 | 17% |
Student > Bachelor | 1 | 6% |
Other | 1 | 6% |
Student > Master | 1 | 6% |
Other | 1 | 6% |
Unknown | 8 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 4 | 22% |
Environmental Science | 2 | 11% |
Mathematics | 1 | 6% |
Energy | 1 | 6% |
Computer Science | 1 | 6% |
Other | 0 | 0% |
Unknown | 9 | 50% |