Department of Computer Science and Engineering, JIS University, India
*Corresponding author: Samir Kumar Bandyopadhyay, Department of Computer Science and Engineering, Advisor to Chancellor, JIS University, India, Email: firstname.lastname@example.org
Submission: December 11, 2017; Published: January 08, 2018
ISSN: 2578-0042Volume2 Issue1
A supervised learning model has been developed to predict the source of a passive blood drop from the characteristics of the drop (such as length, breadth, angle of impact, fall height, interaction features). Again, these characteristics are only available for a plain/smooth, non-absorbent target surface.