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Data Recovery - an overview | ScienceDirect TopicsData Recovery - an overview | ScienceDirect Topics
Data recovery strategies include hot sites, spare or underutilized servers, the use of noncritical servers, duplicate data centers, replacement agreements, and transferring operations to other locations.

Waste heat recoveries in data centers: A review - ScienceDirectWaste heat recoveries in data centers: A review - ScienceDirect
Waste heat recovery technology is considered as a promising approach to improve energy efficiency, achieve energy and energy cost savings, and mitigate environmental impacts (caused by both carbon emission and waste heat discharge) at the same time.

Data recovery methods for DNA storage based on fountain codesData recovery methods for DNA storage based on fountain codes
To provide data recovery for DNA storage systems, we present a method to automatically reconstruct corrupted or missing data stored in DNA using fountain codes. Our method exploits the relationships between packets encoded with fountain codes to identify and rectify corrupted or lost data.

Demonstration of all-digital burst clock and data recovery for ...Demonstration of all-digital burst clock and data recovery for ...
We experimentally demonstrated all-digital burst clock and data recovery (BCDR) for symmetrical single-wavelength 50 Gb/s four-level amplitude modulat…

Lost data recovery for structural vibration data based on improved U ...Lost data recovery for structural vibration data based on improved U ...
Verification was conducted on single-channel and multi-channel data from practical engineering of large-span bridges by comparing the recovery levels in the time and frequency domains. Different missing ratios are set, a mask matrix is used to construct random lost data, and the proposed model is used to reconstruct the lost data.

Trustworthy data recovery for incomplete multi-view learningTrustworthy data recovery for incomplete multi-view learning
Therefore, in this paper, we aim to develop a trustworthy data recovery framework for incomplete multi-view learning (TDR-IML), which ensures reliable imputed data with an uncertainty-aware scheme.

Distributed neural tensor completion for network monitoring data recoveryDistributed neural tensor completion for network monitoring data recovery
Abstract Network monitoring data is usually incomplete, accurate and fast recovery of missing data is of great significance for practical applications. The tensor-based nonlinear methods have attracted recent attentions with their capability of capturing complex interactions among data for more accurate recovery.

Database Recovery - an overview | ScienceDirect TopicsDatabase Recovery - an overview | ScienceDirect Topics
Database recovery refers to the process of restoring a database to a correct and consistent state after a failure or corruption. It involves recovering data from backups or using transaction logs to undo and redo changes made to the database. AI generated definition based on: Encyclopedia of Information Systems, 2003

Missing measurement data recovery methods in structural health ...Missing measurement data recovery methods in structural health ...
A data recovery method based on the OMP algorithm is used in the missing response recovery for aviation anti-rust aluminum plates [32]. Li et al. [6] studied an approach that uses convex optimization theory and OMP algorithm to achieve CS-based electromechanical admittance data recovery.

Analysis of false lock in Mueller-Muller clock and data recovery system ...Analysis of false lock in Mueller-Muller clock and data recovery system ...
Within high-speed serial data communication systems, the Clock and Data Recovery (CDR) circuit serves as the core module. For SerDes, it is crucial to extract the clock signals at the receiver correctly for clock synchronization and optimal data sampling.







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