Predicting Uncorrectable Memory Errors for Proactive Replacement: An Empirical Study on Large-Scale Field Data

Research article (2020 16th European Dependable Computing Conference (EDCC), 2020) · cited 23× · AI/ML
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Predicting Uncorrectable Memory Errors for Proactive Replacement: An Empirical Study on Large-Scale Field Data

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Predicting Uncorrectable Memory Errors for Proactive Replacement: An Empirical Study on Large-Scale Field Data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting Uncorrectable Memory Errors for Proactive Replacement: An Empirical Study on Large-Scale Field Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-uncorrectable-memory-errors-for-proactive-replacement-an-empirical-study-on-large-scale-field-data
MLA “Predicting Uncorrectable Memory Errors for Proactive Replacement: An Empirical Study on Large-Scale Field Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-uncorrectable-memory-errors-for-proactive-replacement-an-empirical-study-on-large-scale-field-data.
BibTeX @misc{4ortxyz_predicting-uncorrectable-memory-errors-for-proactive-replacement-an-empirical-study-on-large-scale-field-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting Uncorrectable Memory Errors for Proactive Replacement: An Empirical Study on Large-Scale Field Data}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-uncorrectable-memory-errors-for-proactive-replacement-an-empirical-study-on-large-scale-field-data}, note = {Accessed: 2026-05-24}}
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