Predicting material requirements in the automotive industry using data mining
Advanced capabilities in artificial intelligence pave the way for improving the prediction of
material requirements in automotive industry applications. Due to uncertainty of demand, it is …
material requirements in automotive industry applications. Due to uncertainty of demand, it is …
Machine learning application in the ex-combatant demobilization process on the Colombian armed conflict
E Delahoz-Domínguez, J Carrillo-Naranjo… - Intelligent Data …, 2023 - content.iospress.com
This research explores the potential of supervised machine learning models to support the
decision-making process in demobilizing ex-combatants in the peace process in Colombia …
decision-making process in demobilizing ex-combatants in the peace process in Colombia …
Developing an architectural framework for facilitating transformation towards data-driven organizations
K Kayabay - 2022 - open.metu.edu.tr
Paradigm shifts such as digital transformation and Industry 4.0 produce complex data, also
called big data. Businesses increasingly focus on exploiting big data for competitive …
called big data. Businesses increasingly focus on exploiting big data for competitive …
[PDF][PDF] Embedding predictive analytics into a financial forecasting process for operational costs
YTH van der Voort - pure.tue.nl
This master thesis was conducted to provide insights into embedding predictive analytics
into a knowledge-intensive process at ASML. We conducted a literature study to identify …
into a knowledge-intensive process at ASML. We conducted a literature study to identify …