Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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David Christian De Lima Ferreira
Atmospheric natural disasters can have their damage mitigated if meteorological alerts are disseminated on time. Among the ways to get data related to weather conditions are the use of atmospheric profilers and numerical models. Such resources can be used for studies related to the surface layer, which covers a range from 20 to 200 meters below the low troposphere. In order to make atmospheric experiments achievable, without great financial expenditure, a low-cost atmospheric profiler was developed together with the Laboratory of Monitoring and Numerical Modeling of Climate Systems (LAMMOC) of the Federal Fluminense University (UFF), to be on board a drone and based on prototyping with Arduino, which had as sensors the DHT22 for measuring temperature and relative humidity and the BMP280 for measuring atmospheric pressure.
David Christian De Lima Ferreira. 2026. \u201cMeasurement of Vertical Profiles of the Atmospheric Surface Layer With Low-Cost Instrumentation on Board a Drone\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 23 (GJHSS Volume 23 Issue B5): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 106
Country: Brazil
Subject: Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management
Authors: David Christian De Lima Ferreira, Marcio Cataldi, Ivanovich Lache Salcedo, Flávia Rodrigues Pinheiro, Márcio Vinicius Aguiar Soares, Gabriel Ferreira Subtil de Almeida (PhD/Dr. count: 0)
View Count (all-time): 151
Total Views (Real + Logic): 1044
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Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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Atmospheric natural disasters can have their damage mitigated if meteorological alerts are disseminated on time. Among the ways to get data related to weather conditions are the use of atmospheric profilers and numerical models. Such resources can be used for studies related to the surface layer, which covers a range from 20 to 200 meters below the low troposphere. In order to make atmospheric experiments achievable, without great financial expenditure, a low-cost atmospheric profiler was developed together with the Laboratory of Monitoring and Numerical Modeling of Climate Systems (LAMMOC) of the Federal Fluminense University (UFF), to be on board a drone and based on prototyping with Arduino, which had as sensors the DHT22 for measuring temperature and relative humidity and the BMP280 for measuring atmospheric pressure.
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