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Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12374 (2023)
Time series prediction stands at the forefront of the fourth industrial revolution (Industry 4.0), offering a crucial analytical tool for the vast data streams generated by modern industrial processes. This literature review systematically consolidat
Externí odkaz:
https://doaj.org/article/2c1062d729004bc99938984272af2837
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2156 (2023)
The rise of Industry 4.0, which employs emerging powerful and intelligent technologies and represents the digital transformation of manufacturing, has a significant impact on society, industry, and other production sectors. The industrial scene is wi
Externí odkaz:
https://doaj.org/article/b580a3c244b144da9ae453c2dea9254f
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 6143 (2022)
The development of Cyber-Physical Systems (CPS) and the Internet of Things (IoT) has influenced Cyber-Physical Manufacturing Systems (CPMS). Collaborative manufacturing among organizations with geographically distributed operations using Nanomanufact
Externí odkaz:
https://doaj.org/article/b832a2da1baf44d894e84c1ce1fd6aa3
Publikováno v:
Applied Sciences, Vol 8, Iss 9, p 1650 (2018)
The fast development of smart sensors and wearable devices has provided the opportunity to develop intelligent operator workspaces. The resultant Human-Cyber-Physical Systems (H-CPS) integrate the operators into flexible and multi-purpose manufacturi
Externí odkaz:
https://doaj.org/article/4e545c7628e34730869d690fdf0b4ddb