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Waste 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.

Innovative approaches for deep decarbonization of data centers and ...
The data center heat recovery systems discussed in the studies above fall into two primary categories: those utilizing heat pumps to recover waste heat from data centers for utilization in district heating networks or buildings, and those relying solely on heat exchangers.

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.

Tensor network decomposition for data recovery: Recent advancements and ...
Tensor network (TN) decomposition stands as a pivotal technique for characterizing the essential features of high-dimensional data, attracting significant interest and achieving notable success in high-dimensional data recovery.

IRTF: A new tensor factorization for irregular multidimensional data ...
Consequently, data recovery techniques are required to enhance the quality of these observed data for subsequent tasks. Real-world multidimensional data can be mathematically represented by the tensor [7], [8]. In this paper, we specifically focus on third-order tensors.

Data 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.

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.

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.

Air quality index prediction through TimeGAN data recovery and PSO ...
TimeGAN is employed to learn the structure and distribution of air quality data, facilitating the generation of synthetic data through adversarial networks. Subsequently, the missing values in the real data are replaced with the generated data.

Data centers waste heat recovery technologies: Review and evaluation
With a growing focus on energy-saving and emission-reduction efforts in data centers, waste heat recovery technology is urgently needed because of the…

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