Predicting the effects of environmental parameters on the spatio-temporal distribution of the droplets carrying coronavirus in public transport - A machine learning approach.
Mehrdad Mesgarpour,Javad Mohebbi Najm Abad,Rasool Alizadeh,Somchai Wongwises,Somchai Wongwises,Mohammad Hossein Doranehgard,S. Jowkar,Nader Karimi,Nader Karimi +8 more
TLDR
In this article, the authors developed a predictive tool based on computational fluid dynamics and machine learning to examine the distribution of sneezing droplets in realistic configurations, and identified an optimal range of temperature, humidity and ventilation rate to maintain human comfort while minimising the transmission of droplets.About:
This article is published in Chemical Engineering Journal.The article was published on 2022-02-15 and is currently open access. It has received 33 citations till now. The article focuses on the topics: Humidity & Relative humidity.read more
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Numerical study on performance of double-fluid parabolic trough solar collector occupied with hybrid non-Newtonian nanofluids: Investigation of effects of helical absorber tube using deep learning
TL;DR: In this paper , the authors investigated the influence of a helical absorber tube on the thermal performances of a double-fluid parabolic trough solar collector (PTSC) occupied by non-Newtonian nanofluid.
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An evaluation of the thermal behaviour of a lithium-ion battery pack with a combination of pattern-based artificial neural networks (PBANN) and numerical simulation
Mehrdad Mesgarpour,Massoud Aghili Yajadda Mir,Rasool Alizadeh,Javad Mohebbi Najm Abad,Ehsan Pooladi Borj +4 more
TL;DR: In this paper , a combination of a physics-informed neural network and visual tracking was used to predict the surface temperature at several cooling rates (Vinlet=0.1, 0.3, and 0.5 m/s).
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Thermo-electro-environmental analysis of a photovoltaic solar panel using machine learning and real-time data for smart and sustainable energy generation
TL;DR: In this article , the impact of meteorological parameters, including ambient temperature, wind velocity, ambient relative humidity, and solar radiation on photocurrent and thermal voltage of diode, as two main thermo-electrical parameters of a solar panel, is found.
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Numerical investigation and optimization of natural convection and entropy generation of alumina/H2O nanofluid in a rectangular cavity in the presence of a magnetic field with artificial neural networks
TL;DR: In this paper , the authors used the SIMPLE algorithm and the volume control technique to investigate the natural convection of alumina/H2O nanofluids (NFs) flow in a cavity.
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Prediction of battery thermal behaviour in the presence of a constructal theory-based heat pipe (CBHP): A multiphysics model and pattern-based machine learning approach
TL;DR: In this article , the authors investigated the thermal conductivity of a constructal theory-based heat pipe and presented the predction of a lithium-ion battery's thermal behaviour during charge and discharge by combining a special form of machine learning with a multiphysics numerical simulation.
References
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Multiphase Flows with Droplets and Particles
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Transmission of COVID-19 virus by droplets and aerosols: A critical review on the unresolved dichotomy.
TL;DR: It is demonstrated that the nosocomial transmission by airborne SARS-CoV-2 viral-laden aerosols in healthcare facilities may be plausible and clearly defined, science-based administrative, clinical, and physical measures are of paramount importance to eradicate the COVID-19 pandemic from the world.