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Biologically inspired compound defect detection using a spiking neural network with continuous time–frequency gradients
Z Wang, S Li, J Xuan, T Shi - Advanced Engineering Informatics, 2025 - Elsevier
Compound defects frequently arise, posing serious threats to the reliability and safety of
machines as their structures become increasingly complex. Traditional approaches primarily …
machines as their structures become increasingly complex. Traditional approaches primarily …
Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF.
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 …