A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
Alternative fuel is one of the widely used fuel substitutions for both petrol and diesel in the
field of internal combustion engine. The increase in the demand for alternative fuel is …
field of internal combustion engine. The increase in the demand for alternative fuel is …
A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique
SS Fiyadh, SM Alardhi, M Al Omar, MM Aljumaily… - Heliyon, 2023 - cell.com
Water is the most necessary and significant element for all life on earth. Unfortunately, the
quality of the water resources is constantly declining as a result of population development …
quality of the water resources is constantly declining as a result of population development …
Evaluation of urban traffic noise pollution based on noise maps
W Yang, J He, C He, M Cai - Transportation Research Part D: Transport and …, 2020 - Elsevier
Traffic noise pollution has become a major environmental issue that plagues urban
residents. The purpose of this study is to evaluate the traffic noise pollution based on noise …
residents. The purpose of this study is to evaluate the traffic noise pollution based on noise …
[HTML][HTML] The co-benefits of electric mobility in reducing traffic noise and chemical air pollution: Insights from a transit-oriented city
Traffic noise is a growing threat to the urban population. Prolonged exposure to traffic noise
has been linked to negative health consequences such as annoyance, sleep disturbances …
has been linked to negative health consequences such as annoyance, sleep disturbances …
Artificial intelligence based ensemble model for prediction of vehicular traffic noise
Vehicular traffic noise is the main source of noise pollution in major cities around the globe.
A reliable and accurate method for the estimation of vehicular traffic noise is therefore …
A reliable and accurate method for the estimation of vehicular traffic noise is therefore …
How residential energy consumption has changed due to COVID-19 pandemic? An agent-based model
Integrating occupant behavior with residential energy use for detailed energy quantification
has attracted research attention. However, many of the available models fail to capture …
has attracted research attention. However, many of the available models fail to capture …
Hierarchical integrated machine learning model for predicting flight departure delays and duration in series
Flight delays may propagate through the entire aviation network and are becoming an
important research topic. This paper proposes a novel hierarchical integrated machine …
important research topic. This paper proposes a novel hierarchical integrated machine …
Modelling of traffic noise in the vicinity of urban road intersections
Traffic noise is continuously rising alongside roadways, especially at intersections, due to
rapid urbanization, eventually affecting acoustical climate and quality of life. This present …
rapid urbanization, eventually affecting acoustical climate and quality of life. This present …
A study on the assessment of traffic noise induced annoyance and awareness levels about the potential health effects among residents living around a noise-sensitive …
The present cross-sectional study aimed to evaluate the risk factors for traffic noise–induced
annoyance and also assess the awareness levels among the exposed population …
annoyance and also assess the awareness levels among the exposed population …
An emotional artificial neural network for prediction of vehicular traffic noise
Road traffic is a leading source of environmental noise pollution in large cities, which greatly
affects the health and well-being of people. A reliable method for the prediction of road traffic …
affects the health and well-being of people. A reliable method for the prediction of road traffic …