Results 21 to 30 of about 3,853,271 (192)
Data recovery for web applications [PDF]
2010 IEEE/IFIP International Conference on Dependable Systems & Networks (DSN), 2010 Web-based applications store their data at the server side. This design has several benefits, but it can also cause a serious problem because a misconfiguration, bug or vulnerability leading to data loss or corruption can affect many users. While data backup solutions can help resolve some of these issues, they do not help diagnose the events that led ...
Istemi Ekin Akkus, Ashvin Goel
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Factor validation and Rasch analysis of the individual recovery outcomes counter [PDF]
, 2017 Objective: The Individual Recovery Outcomes Counter is a 12-item personal recovery self assessment tool for adults with mental health problems. Although widely used across Scotland, limited research into its psychometric properties has been conducted. We
Dickens, Geoffrey L. +4 more
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Privacy-Preserving Sensory Data Recovery [PDF]
2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 2018 In recent years, a large scale of various wireless sensor networks have been deployed for basic scientific works. Massive data loss is so common that there is a great demand for data recovery. While data recovery methods fulfil the requirement of accuracy, the potential privacy leakage caused by them concerns us a lot.
Cai Chen 0002 +4 more
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Recovering Individual Data In The Presence Of Group And Individual Effects [PDF]
, 1973 The ecological fallacy of relating variables on the group level, when the individual-level relationship is desired, can only be avoided by using individual-level data.
Iversen, Gudmund R.
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A Flexible Ensemble Algorithm for Big Data Cleaning of PMUs
Frontiers in Energy Research, 2021 With an increasing application of Phase Measurement Units in the smart grid, it is becoming inevitable for PMUs to operate in severe conditions, which results in outliers and missing data.
Long Shen +6 more
doaj +1 more source
Remote Sensing, 2020 Given the impact of tropical forest disturbances on atmospheric carbon emissions, biodiversity, and ecosystem productivity, accurate long-term reporting of Land-Use and Land-Cover (LULC) change in the pre-satellite era (<1972) is an imperative.
Koen Hufkens +12 more
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Design-time Models for Resiliency [PDF]
, 2017 Resiliency in process-aware information systems is based on the availability of recovery flows and alternative data for coping with missing data. In this paper, we discuss an approach to process and information modeling to support the specification of ...
Marrella, Andrea +3 more
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Optimal Weakly Secure Minimum Storage Regenerating Codes Scheme
IEEE Access, 2019 In a distributed storage system, regenerating codes can be utilized to ensure data availability. This reduces the repair bandwidth but increases the risk of data eavesdropping on each node.
Jianchao Bian +3 more
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NEW APPROACHES TO MISSING BIOMEDICAL DATA RECOVERY FOR MACHINE LEARNING
Journal of Engineering Science (Chişinău), 2023 Missing data is a common problem for medical data sets, especially large ones. This issue is of major importance since it can influence the analysis and further use of the data, e.g., for machine learning purposes.
IAPĂSCURTĂ, Victor, FIODOROV, Ion
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Analysis and equalization of data-dependent jitter [PDF]
, 2006 Data-dependent jitter limits the bit-error rate (BER) performance of broadband communication systems and aggravates synchronization in phase- and delay-locked loops used for data recovery.
Buckwalter, James F., Hajimiri, Ali
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