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Assessing the impact of PM2.5 on respiratory disease using artificial neural networks

Environmental pollution (1987), 2018-04, Vol.235, p.394-403

2018

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Polycyclic Aromatic Hydrocarbons (PAHs) and nitrated analogs associated to particulate matter emission from a Euro V-SCR engine fuelled with diesel/biodiesel blends

The Science of the total environment, 2018-12, Vol.644, p.675-682

2018

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Dynamic model to predict the association between air quality, COVID-19 cases, and level of lockdown

Environmental pollution (1987), 2021-01, Vol.268 (Pt B), p.115920-115920, Article 115920

2021

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Air pollution epidemiology: A simplified Generalized Linear Model approach optimized by bio-inspired metaheuristics

Environmental research, 2020-12, Vol.191, p.110106, Article 110106

2020

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Gaseous emissions from a heavy-duty engine equipped with SCR aftertreatment system and fuelled with diesel and biodiesel: Assessment of pollutant dispersion and health risk

The Science of the total environment, 2014-12, Vol.500-501, p.64-71

2014

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Estimating thermal performance of thermosyphons by artificial neural networks

Alexandria engineering journal, 2023-09, Vol.79, p.93-104

2023

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Effectiveness of Selective Catalytic Reduction Systems on Reducing Gaseous Emissions from an Engine Using Diesel and Biodiesel Blends

Environmental science & technology, 2015-03, Vol.49 (5), p.3246-3251

2015

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Negative Binomial regression model for analysis of the relationship between hospitalization and air pollution

Atmospheric pollution research, 2018-03, Vol.9 (2), p.333-341

2018

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Gaseous emissions from a heavy-duty engine equipped with SCR aftertreatment system and fuelled with diesel and biodiesel: Assessment of pollutant dispersion and health risk

The Science of the total environment, 2014, Vol.500-01, p.64-71

2014

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Assessing the impact of PM 2.5 on respiratory disease using artificial neural networks

Environmental pollution (1987), 2018-04, Vol.235, p.394

2018

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Artificial Neural Networks to Estimate the Influence of Vehicular Emission Variables on Morbidity and Mortality in the Largest Metropolis in South America

Sustainability, 2020-04, Vol.12 (7), p.2621

2020

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Selection of Temporal Lags for Predicting Riverflow Series from Hydroelectric Plants Using Variable Selection Methods

Energies (Basel), 2020-08, Vol.13 (16), p.4236

2020

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Anomaly Detection in Automotive Industry Using Clustering Methods—A Case Study

Applied sciences, 2021-11, Vol.11 (21), p.9868

2021

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A Methodology to Increase the Accuracy of Particulate Matter Predictors Based on Time Decomposition

Sustainability, 2020-09, Vol.12 (18), p.7310

2020

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Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle Swarm Optimization

Energies (Basel), 2022-10, Vol.15 (19), p.6881

2022

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Ensemble method based on Artificial Neural Networks to estimate air pollution health risks

Environmental modelling & software : with environment data news, 2020-01, Vol.123, p.104567, Article 104567

2020

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Neural-Based Ensembles for Particulate Matter Forecasting

IEEE access, 2021, Vol.9, p.14470-14490

2021

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Impact assessment of IMO’s sulfur content limits: a case study at latin America’s largest grain port

Air quality, atmosphere and health, 2024-04

2024

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Health effects of particulate matter formation in Life Cycle Impact Assessment: critical review and recommendation of models for Brazil

The international journal of life cycle assessment, 2022-06, Vol.27 (6), p.868-884

2022

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Hybrid unorganized machines to estimate the number of hospital admissions caused by PM10 concentration

Environmental science and pollution research international, 2023-11, Vol.30 (53), p.113175-113192

2023

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Human health impacts of particulate matter emitted from different milk production systems in Brazil: a regionalized LCA sensitivity analysis

The international journal of life cycle assessment, 2023-11, Vol.28 (11), p.1466-1480

2023

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Bio-Inspired Optimization Algorithms Applied to the GAPID Control of a Buck Converter

Energies (Basel), 2022-09, Vol.15 (18), p.6788

2022

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Unorganized Machines to Estimate the Number of Hospital Admissions Due to Respiratory Diseases Caused by PM10 Concentration

Atmosphere, 2021-10, Vol.12 (10), p.1345

2021

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Unorganized machines and linear multivariate regression model applied to atmospheric pollutant forecasting

Acta scientiarum. Technology, 2020-01, Vol.42, p.e48203

2020

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Hybrid unorganized machines to estimate the number of hospital admissions caused by PM[Formula: see text] concentration

Environmental science and pollution research international, 2023-11, Vol.30 (53), p.113175-113192

2023

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Assessing the impact of PM2.5 on respiratory disease using artificial neural networks

Polycyclic Aromatic Hydrocarbons (PAHs) and nitrated analogs associated to particulate matter emission from a Euro V-SCR engine fuelled with diesel/biodiesel blends

Dynamic model to predict the association between air quality, COVID-19 cases, and level of lockdown

Air pollution epidemiology: A simplified Generalized Linear Model approach optimized by bio-inspired metaheuristics

Gaseous emissions from a heavy-duty engine equipped with SCR aftertreatment system and fuelled with diesel and biodiesel: Assessment of pollutant dispersion and health risk

Estimating thermal performance of thermosyphons by artificial neural networks

Effectiveness of Selective Catalytic Reduction Systems on Reducing Gaseous Emissions from an Engine Using Diesel and Biodiesel Blends

Negative Binomial regression model for analysis of the relationship between hospitalization and air pollution

Gaseous emissions from a heavy-duty engine equipped with SCR aftertreatment system and fuelled with diesel and biodiesel: Assessment of pollutant dispersion and health risk

Assessing the impact of PM 2.5 on respiratory disease using artificial neural networks

Artificial Neural Networks to Estimate the Influence of Vehicular Emission Variables on Morbidity and Mortality in the Largest Metropolis in South America

Selection of Temporal Lags for Predicting Riverflow Series from Hydroelectric Plants Using Variable Selection Methods

Anomaly Detection in Automotive Industry Using Clustering Methods—A Case Study

A Methodology to Increase the Accuracy of Particulate Matter Predictors Based on Time Decomposition

Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle Swarm Optimization

Ensemble method based on Artificial Neural Networks to estimate air pollution health risks

Neural-Based Ensembles for Particulate Matter Forecasting

Impact assessment of IMO’s sulfur content limits: a case study at latin America’s largest grain port

Health effects of particulate matter formation in Life Cycle Impact Assessment: critical review and recommendation of models for Brazil

Hybrid unorganized machines to estimate the number of hospital admissions caused by PM10 concentration

Human health impacts of particulate matter emitted from different milk production systems in Brazil: a regionalized LCA sensitivity analysis

Bio-Inspired Optimization Algorithms Applied to the GAPID Control of a Buck Converter

Unorganized Machines to Estimate the Number of Hospital Admissions Due to Respiratory Diseases Caused by PM10 Concentration

Unorganized machines and linear multivariate regression model applied to atmospheric pollutant forecasting

Hybrid unorganized machines to estimate the number of hospital admissions caused by PM[Formula: see text] concentration

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