Development of advanced hybrid mechanistic-artificial intelligence computational model for learning of numerical data of flow in porous membranes

Zhao, Hongfeng; Alshehri, Sameer

doi:10.1016/j.engappai.2023.106910

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…Therefore, educators should always pay attention to the laws of students' physical and mental development, follow the trajectory of students' thought dynamics to control students' thoughts, learn to use software to analyze and guide students' interests and values, and thus enhance students' ability to distinguish right from wrong. Educators learn to develop spiritual education with the help of artificial intelligence, enhance learning abilities, and teach students how to acquire new skills and knowledge [20][21][22].…”

Section: Educators Should Take the Initiative To Adapt To The Require...mentioning

confidence: 99%

Innovation of Ideological and Political Education Based on Artificial Intelligence Technology with Wireless Network

Tang

2023

ICST Transactions on Scalable Information Systems

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INTRODUCTION: To apply artificial intelligence technology to ideological and political education in colleges and universities, as well as to combine artificial intelligence technology with ideological and political education in colleges and universities, it is necessary that wireless networks have complete coverage. OBJECTIVES: How can ideological and political education in universities and colleges be merged with artificial intelligence? How can artificial intelligence be used to support progressive political education at the college level? Starting with these issues, this paper will focus on the development of ideological and political education in colleges and universities as its main research question and refer to artificial intelligence technology as a method of ideological and political education in colleges and universities supported by wireless networks. METHODS: By examining the characteristics of artificial intelligence and ideological education in colleges and universities, and combining the poor immediacy and weak timeliness of information dissemination, as well as the low degree of identification of student groups with the theoretical courses of ideological education in the field of ideological education under the view of artificial intelligence, to explore the path of innovation of ideological education, RESULTS: In order to adapt to the demands of AI technology and improve people's capacity to use AI learning software, we need start with educators and educated individuals. Additionally, the government should encourage the development of artificial intelligence technologies financially and technically. Finally, it examines how civic education in colleges and universities could be improved through the use of artificial intelligence. This would allow civic education to benefit from the advantages of AI technology. CONCLUSION: In order to support the positive and healthy development of political education courses in colleges and universities across the nation, this paper encourages the creation of concepts and methods for teaching politics in higher education institutions.

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Section: Educators Should Take the Initiative To Adapt To The Require...mentioning

confidence: 99%

Innovation of Ideological and Political Education Based on Artificial Intelligence Technology with Wireless Network

Tang

2023

ICST Transactions on Scalable Information Systems

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Computational modeling of nanofluid heat transfer using Fuzzy-based bee algorithm and machine learning method

Zhao

2024

Case Studies in Thermal Engineering

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Heavy metals removal from wastewater using nanoporous adsorbent: Separation analysis via machine learning model

Alali

2024

Case Studies in Thermal Engineering

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Development of advanced hybrid mechanistic-artificial intelligence computational model for learning of numerical data of flow in porous membranes

Cited by 6 publications

References 14 publications

Innovation of Ideological and Political Education Based on Artificial Intelligence Technology with Wireless Network

Innovation of Ideological and Political Education Based on Artificial Intelligence Technology with Wireless Network

Computational modeling of nanofluid heat transfer using Fuzzy-based bee algorithm and machine learning method

Heavy metals removal from wastewater using nanoporous adsorbent: Separation analysis via machine learning model

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