DATA RECOVERY Web Results

Waste 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 ... 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.

Distributed neural tensor completion for network monitoring data recovery However, the training process of existing methods is often time-consuming due to massive data and unreasonable network resource allocation. Thus motivated, we propose a distributed neural tensor completion method, named D-NORM, which simultaneously optimizes both recovery accuracy and time.

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 ...

Missing measurement data recovery methods in structural health ... In order to demonstrate the practical application of missing measurement data recovery methods in SHM, this section focuses on the Hardanger Bridge in Norway, a kilometer-scale suspension bridge.

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.

Kernel Bayesian tensor ring decomposition for multiway data recovery 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 dealing with high-order data because they cannot incorporate specific side information enhancements.

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 …

Innovative approaches for deep decarbonization of data centers and ... 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 in district heating networks or buildings, and those relying solely on heat exchangers.

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.