HCSL Software Repository

Intelligent Quality

Chatzimichail RA, Hatjimihail AT. Intelligent Quality: A Software Tool for Exploring the Application of Convolutional Neural Networks to Quality Control Samples of Very Small Size. Ver. 1.1.2. Drama: Hellenic Complex Systems Laboratory, 2022


This software tool was developed to explore the application of convolutional neural networks to quality control (QC) samples of 1-4 measurements and compare them to statistical single-value QC functions.


Intelligent Quality complements to Intelligent Quality Control.

Source code (Revised on 25/08/2022)

Technical Report

Related publications

Software Requirements

Operating Systems: Microsoft Windows, Linux, Apple iOS

Programming language: Wolfram Language

Software source code file format: Wolfram Notebook

Other software requirements: Wolfram Player (freely available) or Wolfram Mathematica

Recommended system: Intel Core i7 or equivalent CPU and 16GB+ of RAM

Software license: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License