Search Results - "de Souza Tadano, Yara"
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Selection of Temporal Lags for Predicting Riverflow Series from Hydroelectric Plants Using Variable Selection Methods
Published in Energies (Basel) (01-08-2020)“…The forecasting of monthly seasonal streamflow time series is an important issue for countries where hydroelectric plants contribute significantly to electric…”
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Anomaly Detection in Automotive Industry Using Clustering Methods—A Case Study
Published in Applied sciences (01-11-2021)“…In automotive industries, pricing anomalies may occur for components of different products, despite their similar physical characteristics, which raises the…”
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Impacts of PM 2.5 exposure near cement facilities on human health and years of life lost: A case study in Brazil
Published in Journal of environmental management (01-11-2024)“…Cement factories significantly contribute to atmospheric pollution by generating fine particulate matter (PM ), which can potentially increase the mortality…”
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4
Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle Swarm Optimization
Published in Energies (Basel) (01-10-2022)“…Lithium-ion batteries are the current most promising device for electric vehicle applications. They have been widely used because of their advantageous…”
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5
Application of Artificial Neural Networks in Predicting the Thermal Performance of Heat Pipes
Published in Energies (Basel) (01-11-2024)“…The loss of energy by heat is a common problem in almost all areas of industry, and heat pipes are essential to increase efficiency and reduce energy waste…”
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6
Neural-Based Ensembles for Particulate Matter Forecasting
Published in IEEE access (2021)“…The air pollution caused by particulate matter (PM) has become a public health issue due to the risks to human life and the environment. The PM concentration…”
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Impact assessment of IMO’s sulfur content limits: a case study at latin America’s largest grain port
Published in Air quality, atmosphere and health (22-04-2024)“…The world ocean fleet consumes around 4.3 million barrels of heavy fuel oil (HFO) daily, releasing large amounts of sulfur-enriched gaseous and particulate…”
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8
Bio-Inspired Optimization Algorithms Applied to the GAPID Control of a Buck Converter
Published in Energies (Basel) (01-09-2022)“…Although the proportional integral derivative (PID) is a well-known control technique applied to many applications, it has performance limitations compared to…”
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Unorganized Machines to Estimate the Number of Hospital Admissions Due to Respiratory Diseases Caused by PM10 Concentration
Published in Atmosphere (01-10-2021)“…The particulate matter PM10 concentrations have been impacting hospital admissions due to respiratory diseases. The air pollution studies seek to understand…”
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Unorganized machines and linear multivariate regression model applied to atmospheric pollutant forecasting
Published in Acta scientiarum. Technology (01-01-2020)“…Air pollution is a relevant issue studied worldwide, and its prediction is important for social and economic management. Linear multivariate regression models…”
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Ensemble method based on Artificial Neural Networks to estimate air pollution health risks
Published in Environmental modelling & software : with environment data news (01-01-2020)“…Estimating of daily hospital admissions due to air pollution is a leading issue in environmental science. To better understand this problem, it is essential to…”
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12
Impacts of PM2.5 exposure near cement facilities on human health and years of life lost: A case study in Brazil
Published in Journal of environmental management (01-11-2024)“…Cement factories significantly contribute to atmospheric pollution by generating fine particulate matter (PM2.5), which can potentially increase the mortality…”
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13
Health effects of particulate matter formation in Life Cycle Impact Assessment: critical review and recommendation of models for Brazil
Published in The international journal of life cycle assessment (01-06-2022)“…Purpose The impact of particulate matter (PM) formation on human health in Life Cycle Impact Assessment (LCIA) can be characterized through combining intake…”
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14
Hybrid unorganized machines to estimate the number of hospital admissions caused by PM10 concentration
Published in Environmental science and pollution research international (01-11-2023)“…Air pollution levels exceeding the recommended limit can be the main cause of illnesses that affect human health, mainly diseases of the respiratory system…”
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15
Human health impacts of particulate matter emitted from different milk production systems in Brazil: a regionalized LCA sensitivity analysis
Published in The international journal of life cycle assessment (01-11-2023)“…Purpose Milk is an important agricultural product due to its ubiquity in the global economy. Brazil is considered one of the largest milk producers in the…”
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Predicting health impacts of wildfire smoke in Amazonas basin, Brazil
Published in Chemosphere (Oxford) (01-11-2024)“…Worldwide, smoke from forest fires has deleterious health effects. Even so, because of the complexity of fire mechanics, public health authorities face…”
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Método de regressão de Poisson: metodologia para avaliação do impacto da poluição atmosférica na saúde populacional
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Methodology to assess air pollution impact on the population's health using the Poisson regression method
Published in Ambiente & sociedade (01-07-2009)“…The most used statistical model to evaluate the relation between air pollution and population's health is regression analysis, as it is able to relate one or…”
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Hybrid unorganized machines to estimate the number of hospital admissions caused by PM[Formula: see text] concentration
Published in Environmental science and pollution research international (01-11-2023)“…Air pollution levels exceeding the recommended limit can be the main cause of illnesses that affect human health, mainly diseases of the respiratory system…”
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Evaluation of characterization models for the photochemical smog impact category focused on the Brazilian reality
Published in LALCA (31-12-2019)“…The Life Cycle Impact Assessment (LCIA) is composed of characterization models, and in Brazil, the methodological and scientific LCIA framework is still under…”
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