Long-term stagnation monitoring using machine learning: comparison of artificial neural network model and convolution neural network model

Lee, Jaiyeop; Kim, Ilho

doi:10.1007/s11269-022-03120-5

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…ANNs are made up of three layers of neuron structures: input, hidden (middle), and output (Lee & Kim, 2022). The input layer collects numerical data in the form of feature sets and activation values.…”

Section: Classification Using Artificial Neural Networkmentioning

confidence: 99%

Study on the Effectiveness of English Teaching in Universities Based on 5G Mobile Internet

2024

International Journal of Web-Based Learning and Teaching Technologies

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Higher education is becoming increasingly competitive and all educational institutions are concentrating on improving quality and changing traditional higher education teaching methods. New-type classroom instruction has embraced a unique advancement opportunity with the arrival of the fifth generation (5G) era. It is critical to develop a teaching assistance system that makes use of high-speed network methodology and new-type display methodology. For the innovation and reform of higher education, this article combines soft computing techniques, artificial intelligence (AI), and 5G networks. This paper outlines the exact processes and measures for incorporating “5G” technology into higher education. Finally, conduct a comparative experiment to see how good the system is at learning AI knowledge when compared to standard learning methods. The outcomes of the experiments are examined to show that employing this approach to gain AI knowledge is successful and improves students' enthusiasm in learning as well as their hands-on abilities.

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Section: Classification Using Artificial Neural Networkmentioning

confidence: 99%

Study on the Effectiveness of English Teaching in Universities Based on 5G Mobile Internet

2024

International Journal of Web-Based Learning and Teaching Technologies

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Research progress on the artificial intelligence applications in food safety and quality management

Yu,

Ouyang,

Zhang

et al. 2024

Trends in Food Science & Technology

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Long-term stagnation monitoring using machine learning: comparison of artificial neural network model and convolution neural network model

Cited by 2 publications

References 29 publications

Study on the Effectiveness of English Teaching in Universities Based on 5G Mobile Internet

Study on the Effectiveness of English Teaching in Universities Based on 5G Mobile Internet

Research progress on the artificial intelligence applications in food safety and quality management

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