Anticipatory analysis of AGV trajectory in a 5G network using machine learning

Bibliographic Details
Authors: Mozo Velasco, Bonifacio Alberto|||0000-0001-9743-8604, Vakaruk, Stanislav|||0000-0003-4263-0206, Sierra García, Jesús Enrique|||0000-0001-6088-9954, Pastor Gutiérrez, Antonio|||0000-0002-6937-1585
Format: article
Publication Date:2024
Country:España
Institution:Universidad Politécnica de Madrid
Repository:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:81088
Online Access:https://oa.upm.es/81088/
Access Level:Open access
Keyword:0
5G
Automatic Guided Vehicle (AGV)
Deep learning
Forecasting
Machine learning
Multi-access edge computing (MEC)
TECHNOLOGIES
TRANSFORMERS
Deep
deep learning
Industry 4
Industry 4.0
Machine Learning
Transformers
Description
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