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MIT engineers developed a technique to quickly identify a range of potential failures in a system before they are deployed in the real world.

Cloud failure is one of the critical issues since it can cost millions of dollars to cloud service providers, in addition to the loss of productivity suffered by industrial users. Fault tolerance management is the key approach to address this issue, and failure prediction is one of the techniques to prevent the occurrence of a failure. One of the main challenges in performing failure prediction is to produce a highly accurate predictive model. Although some work on failure prediction models has been proposed, there is still a lack of a comprehensive evaluation of models based on different type...

Dublin, April 07, 2022 (GLOBE NEWSWIRE) -- The "Global Aerostructures Market by Material(Composites, Alloys & Superalloys and Metals), Component, End...

/PRNewswire/ -- The "Global Aerostructures Market by Material(Composites, Alloys & Superalloys and Metals), Component, End User (OEM, Aftermarket), Platform...

Pipe failure prediction in the water industry aims to prioritize the pipes that are at high risk of failure for proactive maintenance. However, existing statistical or machine learning models that rely on historical failures and asset attributes can hardly leverage the structure information of pipe networks. In this work, we develop a failure prediction framework for pipe networks by jointly considering the pipes' features, the network structure, the geographical neighboring effect, and the temporal failure series. We apply a multi-hop Graph Neural Network (GNN) to failure prediction. We ...