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Water Research | Journal | ScienceDirect.com by Elsevier
Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; Socio-economic, policy, and regulations studies. Water Research is an interdisciplinary journal with an applied edge.

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.

Data centers waste heat recovery technologies: Review and evaluation ...
A new relative exergy efficiency indicator of waste heat recovery in term of the amount of equivalent electrical energy recovered from waste heat εre is then suggested and calculated for the comprehensive evaluation of currently available waste heat recovery technologies. The model can be used to evaluate system efficiency comprehensively.

Gas sensors data analysis system: A user-friendly interface for fast ...
• The Gas Sensor Data Analysis System is a friendly GUI designed to facilitate the calibration process of multiple gas sensors. • Each exposure-recovery cycle is used to calculate the response, response-time, and recovery-time of each sensor. • The system also offers a fast path to the fundamental power-law fit and sensitivity analysis.

Critical review of the recovery rates of construction and demolition ...
The findings may enhance a more purposeful (scientific) discussion of CDW data and for evidence-based reporting of national recovery rates, and may assist the development towards an improved, uniform EU-wide data set. Finally, this will provide support to decision makers for future policy and governmental requirements.

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 ...

A data-driven analysis of the aviation recovery from the COVID-19 ...
In this study, we analyze the recovery of the global aviation system. Based on ticket and flight data for the time period between January 2019 and June 2022, we perform a data-driven, exploratory analysis of all global passenger markets.

Effects of natural sound exposure on health recovery: A systematic ...
Sound is closely related to daily life, and research on the restorative effects of natural sounds is expanding. However, there is a lack of quantitative and comprehensive analysis on the impact of NSE on health recovery. This study systematically reviewed and conducted a meta-analysis on the impact of NSE on health recovery.

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