DATA RECOVERY Web Results

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).

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.

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.

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 ...

Assessing post-fire forest structure recovery by combining LiDAR data ... Providing data on the dynamics of forest structure response is a valuable source of information to stakeholders and decision makers concerned with the assessment of post-fire forest recovery.

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.

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.

Social media use in disaster recovery: A systematic literature review Social media has emerged as a vital technology to support disaster risk reduction, including preparedness, response, and recovery activities [1]. The remarkable growth in the diversity and richness of time-critical information that is generated on social media sites during disasters provides a great opportunity to harness large-scale spatio-temporal data of enormous value to disaster managers ...

Data centers waste heat recovery technologies: Review and evaluation ... Considering the four-level architecture of data center energy efficiency management systems, a detailed review of waste heat flow in data centers and waste heat recovery technologies is conducted.

Advances in direct liquid cooling technology and waste heat recovery ... 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 of high heat flux and reliable operational security, there is an urgent need for innovative solutions to solve the problem of DC cooling and waste heat recovery.