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01/10/2023
Interaction models for remaining useful life estimation
The paper deals with the problem of controlling the state of industrial ...
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10/20/2022
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data
Timely detected anomalies in the chemical technological processes, as we...
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08/31/2022
Long-term hail risk assessment with deep neural networks
Hail risk assessment is necessary to estimate and reduce damage to crops...
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08/17/2022
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes
Modern industrial facilities generate large volumes of raw sensor data d...
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03/25/2022
Dealing with Sparse Rewards Using Graph Neural Networks
Deep reinforcement learning in partially observable environments is a di...
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08/19/2021
Temporal Graph Network Embedding with Causal Anonymous Walks Representations
Many tasks in graph machine learning, such as link prediction and node c...
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06/15/2021
Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow
During a long-running pandemic a pathogen can mutate, producing new stra...
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06/15/2021