Reference health
Ruad: Unsupervised Anomaly Detection in Hpc Systems
21/21 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
35 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 21 checked references that resolve
resolves10.1109/ITHERM.2019.8757229
Trends in High Performance Computing: Exascale Systems and Facilities Beyond the First Wave
resolves10.1109/TPDS.2021.3082802
Anomaly Detection and Anticipation in High Performance Computing Systems
resolves10.1016/j.fusengdes.2017.11.004
MARCONI-FUSION: The new high performance computing facility for European nuclear fusion modelling
resolves10.1109/CSCI.2016.0124
Ranking Anomalous High Performance Computing Sensor Data Using Unsupervised Clustering
resolves10.1109/TSM.2017.2676245
A Convolutional Neural Network for Fault Classification and Diagnosis in Semiconductor Manufacturing Processes
resolves10.1016/j.future.2021.01.033
Intrusion and anomaly detection for the next-generation of industrial automation and control systems
resolves10.1016/j.future.2022.03.001
Host-based IDS: A review and open issues of an anomaly detection system in IoT
resolves10.1016/j.future.2020.08.010
A framework for anomaly detection and classification in Multiple IoT scenarios
resolves10.1016/j.future.2020.05.035
Improved Long Short-Term Memory based anomaly detection with concept drift adaptive method for supporting IoT services
resolves10.1016/j.future.2021.10.023
Federated intelligence of anomaly detection agent in IoTMD-enabled Diabetes Management Control System
resolves10.1109/TPDS.2017.2696538
Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales
resolves10.1109/TPDS.2014.2342228
Using Migratable Objects to Enhance Fault Tolerance Schemes in Supercomputers
resolves10.1016/j.engappai.2019.07.008
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems
resolves10.1007/978-3-030-78713-4_11
Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems
resolves10.1016/j.procir.2021.03.088
A survey on long short-term memory networks for time series prediction
The 35 references without a DOI — listed, not checked
no DOI — not checkedRevealing power, energy and thermal dynamics of a 200pf pre-exascale supercomputer
no DOI — not checkedAnomaly detection using autoencoders in hpc systems
no DOI — not checkedFrequency assignment in high performance computing systems
no DOI — not checkedA machine learning approach to online fault classification in hpc systems
no DOI — not checkedOnline fault classification in hpc systems through machine learning
no DOI — not checkedref12
no DOI — not checkedPaving the way toward energy-aware and automated datacentre
no DOI — not checkedref14
no DOI — not checkedref15
no DOI — not checkedOnline diagnosis of performance variation in hpc systems using machine learning
no DOI — not checkedFinj: A fault injection tool for hpc systems
no DOI — not checkedref18
no DOI — not checkedref20
no DOI — not checkedOnline anomaly detection in hpc systems
no DOI — not checkedref22
no DOI — not checkedA re-optimized deep autoencoder for gas turbine unsupervised anomaly detection, Engineering Applications of
no DOI — not checkedref30
no DOI — not checkedref32
no DOI — not checkedref33
no DOI — not checkedCost-aware prediction of uncorrected dram errors in the field
no DOI — not checkedMonitoring of exascale data processing
no DOI — not checkedExascale computing study: Technology challenges in achieving exascale systems
no DOI — not checkedref39
no DOI — not checkedImbalanced-learn: A python toolbox to tackle the curse of imbalanced datasets in machine learning
no DOI — not checkedUnsupervised anomaly detection for underwater gliders using generative adversarial networks
no DOI — not checkedDiagnosing performance variations in hpc applications using machine learning
no DOI — not checkedE2ewatch: An end-to-end anomaly diagnosis framework for production hpc systems
no DOI — not checkedref47
no DOI — not checkedE2ewatch: An end-to-end anomaly diagnosis framework for production hpc systems
no DOI — not checked(software)&oldid=1052315603
no DOI — not checkedref50
no DOI — not checkedCluster quality analysis using silhouette score
no DOI — not checkedScikit-learn: Machine learning in Python
no DOI — not checkedref55
no DOI — not checkedref57
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