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Predicting Web Vulnerabilities in Web Applications Based on Machine Learning
Intelligent Technologies and Applications
Springer, Singapore, March 2019
Muhammad Noman Khalid, Humera Farooq, Muhammad Iqbal, Muhammad Talha Alam, Kamran Rasheed
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Master||8||26%|
|Student > Ph. D. Student||6||19%|
|Student > Bachelor||4||13%|
|Student > Postgraduate||2||6%|
|Professor > Associate Professor||2||6%|
|Readers by discipline||Count||As %|
|Agricultural and Biological Sciences||1||3%|