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Integrating Geospatial Tools for Air Pollution Prediction: A Synthetic City Generator Framework for Efficient Modeling and Visualization
Air pollution is a significant public health and environmental concern that requires accurate prediction and monitoring. This paper introduces a...
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Clustering Imputation for Air Pollution Data
Air pollution is a global problem. The assessment of air pollution concentration data is important for evaluating human exposure and the associated...
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Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning
Air pollution causes a pivotal impact throughout the world that affects natural resources. It also makes hazardous damage to the environment and...
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Spatial Correlation Analysis of Accidents and Casualties Related to Drunk Driving
Traffic accidents in Taiwan are mainly caused by the negligence of drivers of automobiles (including motorcycles and vehicles). Motorcycles and...
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A Novel Approach for Analysis of Air Quality Index Before and After Covid-19 Using Machine Learning
The third Industrial Revolution brought about major changes in the lives of people. But people were too late to realize that the impact of the...
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Estimation of Sulfonamides Concentration in Water Based on Digital Colourimetry
Overuse of antibiotics is causing the environment to become polluted with them. This is a major threat to global health, with bacteria develo**...
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The Importance of Agricultural and Meteorological Predictions Using Machine Learning Models
This chapter reviews the applications of machine learning (ML) models for predicting meteorological and agricultural variables. The advantage and...
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Study and Implementation of AQI Predictive Recommendation System Based on Artificial Intelligence
Air quality is increasingly becoming polluted in many major cities worldwide, so updating and kee** track of air quality information is gaining...
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Design Specifications for Bidirectional Feedback on Indoor Environmental Quality
Recent scientific research and the COVID-19 pandemic have underscored the impact that indoor environmental quality (IEQ) has on human health....
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Optimization of CO2 Capture Efficiency Through Analysis of Temperature Variables in a Packed Absorption Column
With the advent of the industrial revolution, climate change has accelerated alarmingly, leaving significant traces on the ozone layer and increasing...
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Forecasting Hazard Level of Air Pollutants Using LSTM’s
The South Asian countries have the most polluted cities in the world which has caused quite a concern in the recent years due to the detrimental...
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Innovative Lattice Sequences Based on Component by Component Construction Method for Multidimensional Sensitivity Analysis
Many challenges in the environmental protection exist since this is one of the leading priorities worldwide. Sensitivity analysis plays a...
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A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks
Six generalized machine learning (ML) ensemble models were developed to predict the real-time hourly ozone concentration of the following day. These...
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Segmentation on remote sensing imagery for atmospheric air pollution using divergent differential evolution algorithm
Air pollution is a global issue causing major health hazards. By proper monitoring of air quality, actions can be taken to control air pollution....
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Modified Extreme Gradient Boosting Algorithm for Prediction of Air Pollutants in Various Peak Hours
Machine learning is a fascinating field that involves teaching machines to learn patterns and make predictions or decisions without being explicitly...
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Aerial Robot with Electronic Nose for Air Quality Monitoring
This paper presents an air quality measurement system onboard an Aerial robot. Specifically, the system is capable of measuring NO2, CO, O3 and NO...
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Quantification of Homa Effect on Air Quality in NCR, India: Pollution and Pandemic Challenges in Cities and Healthcare Remedies
The manuscript deals with the increasing pollution and vanishing of AQI in NCR region of India due to many factors like Parali (stubble) burning,...
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Comparison of Interpolation Techniques for Prolonged Exposure Estimation: A Case Study on Seven Years of Daily Nitrogen Oxide in Greater Sydney
Continuous exposure to air pollutants over a long period of time adversely affects population health. Addressing this issue may help in reducing the...
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A PM 2.5 Forecasting Model Based on Air Pollution and Meteorological Conditions in Neighboring Areas
Air pollution has received much attention in recent years, especially in the most densely populated areas. Sources of air pollution include factory...
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A Framework for Monitoring and Identifying Indoor Air Pollutants Based on BIM with IoT Sensors
Americans spend 86.9% of their life in buildings; however, about 1.64 million people died in 2019 due to diseases related to indoor air pollution. In...