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 impacts (caused by …
Innovative approaches for deep decarbonization of data centers and ...
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 utilization …
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 notable …
Analysis of false lock in Mueller-Muller clock and data recovery system ...
Jul 1, 2025 · 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 …
Nonconvex 3D array image data recovery and pattern recognition …
Feb 1, 2022 · In this paper, we present a weighted tensor Schatten-p quasi-norm (0<p<1) regularizer for 3D array datasets in order to recover the low-rank part and …
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.
A novel tensor decomposition-based approach for internet traffic data ...
In this paper, we proposed a novel tensor-based approach for the recovery and forecast of internet network traffic data from incomplete observed data. The proposed model is based upon the newly …
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 color image …
Air quality index prediction through TimeGAN data recovery and PSO ...
Feb 1, 2025 · 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 …
Advances in direct liquid cooling technology and waste heat recovery ...
Oct 20, 2024 · The escalating demand for computational power and data storage has led to a substantial increase in the number and scale of data centers (DCs) worldwide. Due to characteristics …