Vitaliy Pozdnyakov

Orcid: 0000-0003-4369-4068

According to our database1, Vitaliy Pozdnyakov authored at least 6 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Adversarial Attacks and Defenses in Automated Control Systems: A Comprehensive Benchmark.
CoRR, 2024

Graph Neural Networks With Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data.
IEEE Access, 2024

AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes.
Artif. Intell., November, 2023

2022
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data.
CoRR, 2022


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