Approach to the Automated Development of Scientific Subject Domain Ontologies Based on Heterogeneous Ontology Design Patterns

Zagorulko, Yury A.; Sidorova, Elena A.; Akhmadeeva, Irina R.; Sery, Alexey; Zagorulko, Galina

doi:10.1007/978-3-030-86855-0_17

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Analysis Of Experience In the Field Of Ai1

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2023

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“…According to the results of studying the works of various authors [3,4,5,6], in addition to the above, the advantages of neural networks were highlighted:…”

Section: Analysis Of Experience In the Field Of Aimentioning

confidence: 99%

Application of artificial intelligence and neural network technologies in the construction industry

Garyaev

Garyaev²

2023

E3S Web of Conf.

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One of the problems that may arise in the way of successful implementation of energy supply in urban areas is the difficulty of analyzing and interpreting a large amount of digital data received from various sensors. This problem may adversely affect the performance of energy organizations. The purpose of this study is to study modern tools to solve the problem of processing big data using technologies of simulation and artificial intelligence. This study is dedicated to the development of innovative digital models for the balanced distribution of energy consumption in urban areas.

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“…According to the results of studying the works of various authors [3,4,5,6], in addition to the above, the advantages of neural networks were highlighted:…”

Section: Analysis Of Experience In the Field Of Aimentioning

confidence: 99%

Application of artificial intelligence and neural network technologies in the construction industry

Garyaev

Garyaev²

2023

E3S Web of Conf.

View full text Add to dashboard Cite

show abstract

Approach to the Automated Development of Scientific Subject Domain Ontologies Based on Heterogeneous Ontology Design Patterns

Cited by 1 publication

References 13 publications

Application of artificial intelligence and neural network technologies in the construction industry

Application of artificial intelligence and neural network technologies in the construction industry

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