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 …
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 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 the low rankness …
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 …
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 …
Kernel Bayesian tensor ring decomposition for multiway data recovery
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 …
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.
Variable scale multilayer perceptron for helicopter transmission system ...
Jul 1, 2024 · To address this issue, this paper proposes a novel MLP-based model, named Variable Scale Multilayer Perceptron (VSM), for the recovery of abnormal vibration data. Experimental …
Long-term missing wind data recovery using free access databases and ...
Nov 1, 2022 · 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 …