Intrinsic Value Banknotes

Published: 6 November 2023| Version 2 | DOI: 10.17632/j59xkcgj4z.2
Athanasios Zisopoulos


Paper Palladium Assets dataset has data ranging from unstructured preliminary laboratory data, Matlab and Python software and results for monetary and engineering methods and implementation ready to use data. Attached material is 05=World bank indicators from 10= Photos created for the methodology with dual intervention initial semi automatic script writing and Machine Learning image recognition and selection. (copyrights bought from Schutterstock) 20= Various Matlab Scripts m21 = USD 100 bill geometry calculations m22 =Pallass assets geometry and intrinsic value m23 =Banknote thickness calculation and plot m92 = Hex banknote numbering calculation 30= Linguistics supplement 91=A huge (not indicative) file with a bank working file with logistics boxes and note numbers


Steps to reproduce

primitive Matlab skills


University of Western Macedonia


Monetary Simulation