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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.

IRTF: A new tensor factorization for irregular multidimensional data ...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.

A novel tensor decomposition-based approach for internet traffic data ...A novel tensor decomposition-based approach for internet traffic data ...
A series of numerical experiments about the recovery of structurally missing traffic data and the traffic data prediction on the widely used real-world datasets demonstrate that our approach have favorable performance than some state-of-the-art tensor/matrix based approaches.

False data injection attacks data recovery in smart grids: A graph ...False data injection attacks data recovery in smart grids: A graph ...
False data injection (FDI) attacks, one of the most classical cyber attacks, have increasingly posed a significant threat to the security and reliability of power systems [5]. Such attacks, mislead the system state estimation results, by manipulating the measurements of sensors, and thereby affecting the secure operations of the power system [6]. Research on FDI attacks and their data recovery ...

Tensor network decomposition for data recovery: Recent advancements and ...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.

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.

Swimming in urban estuaries: Understanding stormwater contamination ...Swimming in urban estuaries: Understanding stormwater contamination ...
This study analysed historical bathing water compliance data and concurrent hydrometeorological records to characterise long and short-term contamination and recovery patterns at current and proposed bathing sites in Sydney’s Parramatta River estuary.

Impacts of flexible-cooling and waste-heat recovery from data centres ...Impacts of flexible-cooling and waste-heat recovery from data centres ...
This paper quantifies the economic and environmental gains from data centre's cooling-based flexibility and waste-heat recovery in energy systems with significant data centre demand, high penetration of variable renewable sources, and well-established district heating networks.

GRACE Follow-On accelerometer data recovery by high-precision ...GRACE Follow-On accelerometer data recovery by high-precision ...
The Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) satellites are equipped with high-precision three-axis accelerometers to measure all …

Air quality index prediction through TimeGAN data recovery and PSO ...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.







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