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 …
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 …
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 …
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 …
Kernel Bayesian tensor ring decomposition for multiway data …
Sep 1, 2025 · With the aid of side information, the recovery performance of the methods above is improved. However, all matrix-based methods with side information encounter difficulties when …
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 …
Data centers waste heat recovery technologies: Review and …
Apr 15, 2025 · With a growing focus on energy-saving and emission-reduction efforts in data centers, waste heat recovery technology is urgently needed because of the…
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 …
Distributed neural tensor completion for network monitoring data …
Mar 1, 2024 · 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 …