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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.

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.

Air quality index prediction through TimeGAN data recovery and PSO ...
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 the real data are replaced with the generated data.

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.

Long-term missing wind data recovery using free access databases and ...
The conventional interpolation techniques hardly achieve the desired data recovery. Therefore, a framework was proposed for long-term missing wind data recovery based on a deep neural network (DNN) utilizing a free access database (European Center for Medium-Range Weather Forecasts, ECMWF).

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.

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.

Analysis of false lock in Mueller-Muller clock and data recovery system ...
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 receiver correctly for clock synchronization and optimal data sampling.

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 …

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.

 

 

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