has been cited by the following article(s):
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[1]
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Prediction of CO and PM10 in Cold and Warm Seasons and Survey of the Effect of Instability Indices on Contaminants Using Artificial Neural Network: A …
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… of Energy & …,
2022 |
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[2]
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Prediction of CO and PM10 in Cold and Warm Seasons and Survey of the Effect of Instability Indices on Contaminants Using Artificial Neural Network: A Case Study in …
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Iranica Journal of Energy …,
2022 |
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[3]
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Modelling tropospheric ozone variations using artificial neural networks: A case study on the Black Sea coast (Russian Federation)
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Cleaner Engineering …,
2021 |
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[4]
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Modelagem de energia fotovoltaica em função de parâmetros climáticos
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Revista Geociências-UNG …,
2019 |
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[5]
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Statistical Behavior of O3, OX, NO, NO2, and NOx in Urban Environment
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2019 |
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[6]
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Model for the performance of photovoltaic systems
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2018 |
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[7]
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Analysis of the correlations between NO, NO2 and O3 concentrations in Campo Grande–MS, Brazil
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2017 |
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[8]
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MODELAGEM DA TEMPERATURA DO MÓDULO DE CÉLULAS FOTOVOLTAICAS EM FUNÇÃO DA TEMPERATURA AMBIENTE, VELOCIDADE DOS …
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2016 |
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[9]
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The Kinetic Approach of NOx Photoreaction Related to Ground Measurement of Solar Radiation in Estimates of Surface Ozone Concentration
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2016 |
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[10]
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Modelagem da temperatura do módulo de células fotovoltaicas em função da temperatura ambiente, velocidade dos ventos e irradiância
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2016 |
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[11]
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PENDEKATAN BARU MODEL DISTRIBUSI PENCEMAR DI ATMOSFER PERKOTAAN
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2016 |
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[12]
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Pendekatan Baru Model Distribusi Pencemar di Atmosfer Perkotaan (New Approach Of Urban Atmospheric Pollutant Distribution Model)
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2016 |
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[13]
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COMPREHENSIVE NEURAL NETWORK FORECASTING SYSTEM FOR GROUND LEVEL OZONE IN MULTIPLE REGIONS
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2015 |
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