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This research aims to conduct a descriptive statistical analysis to identify the statistical correlation between categories of new and second-hand vehicles registered for circulation in Romania and various health conditions associated with atmospheric pollution. Currently, a significant challenge for the global community lies in mitigating the impact of atmospheric pollution, considered a crucial factor both in terms of global climate change and its impact on public health. One major source of atmospheric pollutio...

Reducing air pollution is a major objective of road transport, the most important consequence of this reduction being the decrease in the number of illnesses and, implicitly, a better quality of human life. To achieve this goal, researchers- efforts have been directed towards reducing the quantities and treating the exhaust gases of vehicles equipped with internal combustion engines. It is important to note that the reduction of environmental pollution must also aim at decreasing the emissions of particles that ar...

This research aims to conduct a detailed analysis of the necessity for generating electrical energy using conventional methods, simultaneously assessing the impact on water quality. Wastewater, originating from fluids used in industrial processes or households, contains various impurities and is discharged into the natural aquatic environment (such as rivers, lakes, or the Black Sea) or onto various lands, either with or without prior treatment. The production and utilization of primary energy raw materials, such ...

The purpose of this work is to explore the potential for predicting and improving the fuel efficiency of vehicles with thermal engines, especially in the context of reducing exhaust gas emissions that contribute to environmental pollution. With rising fuel costs, consumers need to make informed decisions about the fuel consumption and environmental impact of purchasing vehicles with internal combustion engines. To achieve this goal, the researchers utilized artificial intelligence and created a model using neural ...