New mist-edge-fog-cloud system architecture for thermal error prediction and control enabled by deep-learning-Reference-Cited by-同舟云学术

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New mist-edge-fog-cloud system architecture for thermal error prediction and control enabled by deep-learning

Published:2022-03 Issue: Volume:109 Page:104626
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Gui Hongquan,Liu Jialan,Ma Chi^ORCID,Li Mengyuan,Wang Shilong

Funder

Venture and Innovation Support Program for Chongqing Overseas Returnees

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Chongqing Science and Technology Commission

Natural Science Foundation of Chongqing

State Key Laboratory for Manufacturing Systems Engineering

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference44 articles.

1. Workload allocation in iot-fog-cloud architecture using a multi-objective genetic algorithm;Abbasi;J. Grid Comput.,2020

2. Thermal error modelling of a gantry-type 5-axis machine tool using a Grey Neural Network Model;Abdulshahed;J. Manuf. Syst.,2016

3. The performance of vapor compression cooling system aided ranque-hilsch vortex tube;Acar;Therm. Sci.,2019

4. Altan, A., 2020. Performance of metaheuristic optimization algorithms based on swarm intelligence in attitude and altitude control of unmanned aerial vehicle for path following. In: Proceedings of the IEEE Conference on 4th International Symposium on Multidisciplinary Studies and Innovative Technologies. pp. 1–6.

5. Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques;Altan;Chaos Solitons Fractals,2019

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