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[HTML][HTML] Neural Network System for Predicting Anomalous Data in Applied Sensor Systems
This article advances the research on the intelligent monitoring and control of helicopter
turboshaft engines in onboard conditions. The proposed neural network system for anomaly …
turboshaft engines in onboard conditions. The proposed neural network system for anomaly …
[HTML][HTML] Helicopter Turboshaft Engines' Neural Network System for Monitoring Sensor Failures
An effective neural network system for monitoring sensors in helicopter turboshaft engines
has been developed based on a hybrid architecture combining LSTM and GRU. This system …
has been developed based on a hybrid architecture combining LSTM and GRU. This system …
Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data
A Langbridge, F O'Donncha… - … Conference on Big …, 2024 - ieeexplore.ieee.org
Effective anomaly detection frameworks are a central pillar of the Industry 4.0 paradigm. In
this paper, we introduce an Optimal Transport (OT)-based framework for anomaly detection …
this paper, we introduce an Optimal Transport (OT)-based framework for anomaly detection …
Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF.
A Asperti, G Raciti, E Ronchieri… - Applied Sciences (2076 …, 2025 - search.ebscohost.com
Anomaly prediction in time series is crucial for ensuring the stability and security of data
centers, especially in scientific contexts such as INFN-CNAF, the National Center for …
centers, especially in scientific contexts such as INFN-CNAF, the National Center for …