AIMC Topic: Vehicle Emissions

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Optimizing soybean biofuel blends for sustainable urban medium-duty commercial vehicles in India: an AI-driven approach.

Environmental science and pollution research international Apr 23, 2024
This article presents the outcomes of a research study focused on optimizing the performance of soybean biofuel blends derived from soybean seeds specifically for urban medium-duty commercial vehicles. The study took into consideration elements such ...
Artificial Intelligence Glycine max Vehicle Emissions Gasoline India Biofuels
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Optimization of diesel engine performance and emission using waste plastic pyrolytic oil by ANN and its thermo-economic assessment.

Environmental science and pollution research international Apr 20, 2023
The current study focuses on the engine performance and emission analysis of a 4-stroke compression ignition engine powered by waste plastic oil (WPO) obtained by the catalytic pyrolysis of medical plastic wastes. This is followed by their optimizati...
Gasoline Pyrolysis Vehicle Emissions Neural Networks, Computer Plastics
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Novel Method for Determining Internal Combustion Engine Dysfunctions on Platform as a Service.

Sensors (Basel, Switzerland) Jan 2, 2023
This article deals with a unique, new powertrain diagnostics platform at the level of a large number of EU25 inspection stations. Implemented method uses emission measurement data and additional data from significant sample of vehicles. An original t...
Vehicle Emissions Cloud Computing Gasoline Machine Learning
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Air pollution, water pollution, and robots: Is technology the panacea.

Journal of environmental management Dec 30, 2022
The degradation of the ecological environment caused by industrialization presents a major challenge for policymakers as they aim to develop sustainability. Is there a way to balance industrial growth and environmental sustainability? To answer this ...
Air Pollution Environmental Pollution Water Pollution China Robotics Environment Commerce Vehicle Emissions
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Deep learning approach for prediction of exergy and emission parameters of commercial high by-pass turbofan engines.

Environmental science and pollution research international Nov 16, 2022
Aviation emissions originated from the fuel burn have been hot topics by engineers and policy-makers due to their harmful effects on the environment and thereby human health as well as sustainability. In this study, it is tried that several emission ...
Climate Vehicle Emissions Air Pollutants Aircraft Humans Deep Learning
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Experimental analysis and parameter optimization on the reduction of NOx from diesel engine using RSM and ANN Model.

Environmental science and pollution research international Apr 30, 2022
The major emission sources of NO are from automobiles, trucks, and various non-road vehicles, power plants, coal fired boilers, cement kilns, turbines, etc. Plasma reactor technology is widely used in gas conversion applications, such as NOx conversi...
Neural Networks, Computer Coal Vehicle Emissions
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Deciphering urban traffic impacts on air quality by deep learning and emission inventory.

Journal of environmental sciences (China) Jan 4, 2022
Air pollution is a major obstacle to future sustainability, and traffic pollution has become a large drag on the sustainable developments of future metropolises. Here, combined with the large volume of real-time monitoring data, we propose a deep lea...
Particulate Matter Vehicle Emissions Air Pollutants Air Pollution Humans Cities Deep Learning Environmental Monitoring China
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Surveillance of ship emissions and fuel sulfur content based on imaging detection and multi-task deep learning.

Environmental pollution (Barking, Essex : 1987) Jul 3, 2021
Shipping makes up the major proportion of global transportation and results in an increasing emission of air pollutants. It accounts for 3.1%, 13%, and 15% of the annual global emissions of CO, SO, and NO, respectively. Hence, effective regulatory me...
Environmental Monitoring Air Pollutants Deep Learning Vehicle Emissions Particulate Matter Sulfur Ships
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Asthma-prone areas modeling using a machine learning model.

Scientific reports Jan 21, 2021
Nowadays, owing to population growth, increasing environmental pollution, and lifestyle changes, the number of asthmatics has significantly increased. Therefore, the purpose of our study was to determine the asthma-prone areas in Tehran, Iran conside...
Nitrogen Dioxide Sulfur Dioxide Vehicle Emissions Humidity Machine Learning Child Iran Female Humans Carbon Monoxide Temperature Environmental Monitoring Male Ozone Asthma Particulate Matter Air Pollutants Adolescent Environmental Exposure Air Pollution
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Cooperative Adaptive Cruise Control and exhaust emission evaluation under heterogeneous connected vehicle network environment in urban city.

Journal of environmental management Dec 14, 2019
With the development of information communication and artificial intelligence, the ICV (intelligent connected vehicle) will inevitably play an important part in future urban transport system. In this paper, we study the car following behaviour under ...
Vehicle Emissions Artificial Intelligence Cities
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