View Proposal

Proposer
Oleksandr Letychevskyi
Title
AI-based digital twins
Goal
To investigate the problems of predicting crisis situations in critical infrastructure
Description
Consider the behavior of a critical infrastructure object - a bridge, tunnel, nuclear reactor, control system, robot, etc. Generate or find a dataset of normal behavior in open sources. Create a neural network that analyzes the data of the object's functioning and predicts anomalies as a threat of a crisis situation. Conduct an experiment on predicting anomalies and evaluate its effectiveness.
Resources
Background
deep learning, programming
Url
Difficulty Level
Moderate
Ethical Approval
Full
Number Of Students
7
Supervisor
Oleksandr Letychevskyi
Keywords
digital twins, deep learning
Degrees
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