Analysis of false lock in Mueller-Muller clock and data recovery system ...
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 mitigation …
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 …
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 …
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 …
Tensor completion via joint reweighted tensor
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 …
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 …
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.
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 …
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 …
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 …