Transient Electromagnetic Monitoring of Permafrost: Mathematical Modeling Based on Sumudu Integral Transform and Artificial Neural Networks

Transient Electromagnetic Monitoring of Permafrost: Mathematical Modeling Based on Sumudu Integral Transform and Artificial Neural Networks

Due to the ongoing global warming on the Earth, permafrost degradation has been extensively taking place, which poses a substantial threat to civil and industrial facilities and infrastructure elements, as well as to the utilization of natural resources in the Arctic and high-latitude regions. In or...

Full description

Bibliographic Details
Main Authors: Viacheslav Glinskikh, Oleg Nechaev, Igor Mikhaylov, Marina Nikitenko, Kirill Danilovskiy
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Mathematics
Subjects:
permafrost
TEM monitoring
Sumudu transform
vector finite element method
artificial neural networks
Online Access:https://www.mdpi.com/2227-7390/12/4/585

Similar Items

Similar Items