Fuel Adulteration Detection with Computational Machine Learning

by Dilip Kumar

Fuel Adulteration Detection with Computational Machine Learning is an innovative and sophisticated approach to identify and combat the problem of fuel adulteration. This cutting-edge technology leverages the power of computational methods and machine learning algorithms to accurately and efficiently detect adulterants in various fuel types.

By employing computational analysis, the system processes large datasets of fuel samples and identifies...

• Format: Paperback
• Language: English
• ISBN: 8349240563
• ISBN13: 9788349240561
• Release Date: July 2023
• Publisher: Haji Publisher
• Length: 124 Pages
• Weight: 0.39 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"