An Advanced LSTM Model for Optimal Scheduling in Smart Logistic Environment: E-Commerce Case

An Advanced LSTM Model for Optimal Scheduling in Smart Logistic Environment: E-Commerce Case

At present, most logistics systems, especially those dedicated to e-commerce, are based on artificial intelligence techniques to offer better services and increase outcomes. However, the variety and complexity of resource allocation, as well as task scheduling, denote that dynamic environments have...

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Bibliographic Details
Main Authors: Yassine Issaoui, Azeddine Khiat, Ayoub Bahnasse, Hassan Ouajji
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
deep learning
LSTM
optimization
smart logistics
task management
Online Access:https://ieeexplore.ieee.org/document/9531363/

Internet

https://ieeexplore.ieee.org/document/9531363/

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