Innovative approaches for deep decarbonization of data centers …
Mar 1, 2024 · 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 …
Waste heat recoveries in data centers: A review - ScienceDirect
Dec 1, 2023 · Waste heat recovery technology is considered as a promising approach to improve energy efficiency, achieve energy and energy cost savings, and mitigate environmental …
Tensor network decomposition for data recovery: Recent …
Nov 1, 2025 · Tensor network (TN) decomposition stands as a pivotal technique for characterizing the essential features of high-dimensional data, attracting significant interest and achieving …
Missing measurement data recovery methods in structural health ...
May 31, 2024 · 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 …
Analysis of false lock in Mueller-Muller clock and data recovery …
Jul 1, 2025 · Another view suggests that data correlation is the key contributor [ [9], [10]]. In this work, we provide a comprehensive analysis of MMPD false lock and introduce an enhanced …
Lost data recovery for structural vibration data based on improved …
Jun 1, 2025 · 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 …
A neural tensor decomposition model for high-order sparse data …
Feb 1, 2024 · When faced with high missing ratios or sparse observed sets, the recovery results become less ideal [20]. More importantly, the nonlinear information in the data may obscure …
False data injection attacks data recovery in smart grids: A graph ...
Jun 1, 2025 · 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 …
Tensor completion via joint reweighted tensor - ScienceDirect
Jun 1, 2024 · Tensor, as a generalization of vector and matrix, is a powerful tool for processing multi-dimensional data and plays a critical role in different fields of scientific computing, like …
Tensor robust principal component analysis with total generalized ...
Dec 15, 2024 · Compared with the general TRPCA recovery models which only consider the global prior information, our model considers both the global and local prior information of high …