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Automated City Segmentation for Pollution Threshold Attribution: The Example of New Cairo
Today the use of vehicles has greatly increased especially in cities where alternative transportation methods cannot really be relied on. Inevitably,...
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Computer Simulation of the Raman Lidar Equation for the Carbon Cycle Molecules in the Atmosphere
AbstractRaman lidar equation computer simulation for the concentration of carbon cycle molecules at the level from background and above (in the range...
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Evaluation of the Effects of the National Emission Reduction Strategies for Years 2020–2029 and After 2030 on the AQI on the Territory of Bulgaria
The present paper presents the results obtained in the frame of an extensive study of the effects of different emission reduction scenarios on the...
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Air Quality Prediction in Smart Cities Using Wireless Sensor Network and Associative Models
This paper describes an application of Wireless Sensor Network and Associative Models to monitor and forecast air quality in Smart Cities. The...
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A SPADE Multi-agent Application for Outdoor \(CO_2\) Monitoring
The Internet of Things (IoT) has emerged as a powerful computation environment that interconnects diverse devices to decentralized systems and which...
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Comparative Analysis of Time Series and Machine Learning Models for Air Quality Prediction Utilizing IoT Data
Air pollution has been shown to have serious negative effects on people’s health, the environment, and the economy. It is becoming more and more...
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Self-organizing maps applied to the analysis and identification of characteristics related to air quality monitoring stations and its pollutants
In order to address the growing problem of air pollution, it is necessary to implement innovative regulations and practical solutions to reduce and...
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Forecasting \(\text {PM}_{2.5}\) Concentrations in Ambient Air Using a Transformer Based Neural Network
This paper presents a comparative of the performance of Multi-Layer Perceptron, Long-Short Term Memory and Transformer models in predicting...
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Air Quality Measurement System Using Open Hardware and IoT
In worldwide cities such as Mexico City, the overcrowding of people in well-defined areas causes a series of health problems. Air pollution is one of...
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A Hybrid Ensemble Prediction Method for Analyzing Air Quality Data
Air pollution is one of the biggest environmental challenges that world is facing in this era. The proposed work aims to address the problem of urban...
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Evolutionary Machine Learning in Environmental Science
This chapter reviews the use of Evolutionary Machine Learning (EML) in environmental science. We cover the various steps of the machine learning...
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Air Quality Index Prediction Using Various Machine Learning Algorithms
One of the most critical factors for human survival is air. The quality of air inhaled by humans affects their health and lives significantly. The...
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Implementation of air pollution traceability method based on IF-GNN-FC model with multiple-source data
The most difficult problem in air pollution control is the accurate traceability of pollutants because atmospheric motion is affected by many...
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Prediction of global temperature anomaly by machine learning based techniques
In this work, anthropogenic and natural factors were used to evaluate and forecast climate change on a global scale by using a variety of...
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A temporal-based SVM approach for the detection and identification of pollutant gases in a gas mixture
Air toxicity and pollution phenomena are on the rise across the planet. Thus, the detection and control of gas pollution are nowadays major economic...
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Cepair: an AI-powered and fog-based predictive CEP system for air quality monitoring
Air pollution is one of the influential problems threatening the environment and human health today. Therefore, it is critical to develop predictive...
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Fast Isogeometric Analysis Simulations of a Process of Air Pollution Removal by Artificially Generated Shock Waves
Large concentrations of particulate matter in residential areas are related to the lack of vertical movements of air masses. Their disappearance is...
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Air Quality Dynamics and Urban Heat Island Effects During COVID-19
The outbreak of novel coronavirus pneumonia was the most serious global issue in 2020, that caused enormous impacts on various aspects of human...
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Enhancing Clustering Performance in Sepsis Time Series Data Using Gravity Field
Sepsis, a severe systemic response to infection, represents a pressing global public health challenge. Time series research, including the analysis...