A Data-Intelligence-Driven Digital Twin Framework for Improving Sustainability in Logistics
As supply chains evolve toward the adoption of the Industrial Internet of Things (IIoT), vast amounts of data are collected by different systems across the manufacturing, logistics and transportation value chain. John G Russell (Transport) is a UK-based company involved in multiple lines of business...
Saved in:
Main Authors: | Ibrahim Abdullahi, Hadi Larijani, Dimitrios Liarokapis, James Paterson, David Jones, Stewart Murray |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/15/2/601 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
AI augmented edge and fog computing for Internet of Health Things (IoHT)
by: Deepika Rajagopal, et al.
Published: (2025-01-01) -
Research on intrusion detection method for edge networks based on federated reinforcement learning
by: DING Kai, et al.
Published: (2024-12-01) -
CYBER SECURITY ANALYSIS OF IOT DEVICES TRANSMITTING DATA IN THE THINGSPEAK PLATFORM CLOUD
by: DRAGOS-ALEXANDRU ANDRIOAIA
Published: (2022-10-01) -
System-Level Digital Twin Modeling for Underwater Wireless IoT Networks
by: Lei Wang, et al.
Published: (2024-12-01) -
A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles
by: Pradeep Kumar Tiwari, et al.
Published: (2025-01-01)