Intelligent modeling strategies for forecasting air quality time series: A review
In recent years, the deterioration of air quality, the frequent events of the air contaminants,
and the health impacts from that have caused continuous attention by the government and …
and the health impacts from that have caused continuous attention by the government and …
Machine learning approaches for outdoor air quality modelling: A systematic review
Current studies show that traditional deterministic models tend to struggle to capture the non-
linear relationship between the concentration of air pollutants and their sources of emission …
linear relationship between the concentration of air pollutants and their sources of emission …
Tourism demand forecasting using tourist-generated online review data
This study aims to forecast international tourist arrivals to Hong Kong from seven English-
speaking countries. A new direction in tourism demand modeling and forecasting is …
speaking countries. A new direction in tourism demand modeling and forecasting is …
Big data's role in precision public health
S Dolley - Frontiers in public health, 2018 - frontiersin.org
Precision public health is an emerging practice to more granularly predict and understand
public health risks and customize treatments for more specific and homogeneous …
public health risks and customize treatments for more specific and homogeneous …
Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters
Outdoor air pollution costs millions of premature deaths annually, mostly due to
anthropogenic fine particulate matter (or PM2. 5). Quito, the capital city of Ecuador, is no …
anthropogenic fine particulate matter (or PM2. 5). Quito, the capital city of Ecuador, is no …
Social media prediction: a literature review
Abstract Social Media Prediction (SMP) is an emerging powerful tool attracting the attention
of researchers and practitioners alike. Despite its many merits, SMP has also several …
of researchers and practitioners alike. Despite its many merits, SMP has also several …
Machine learning algorithms in air quality modeling
A Masih - Global Journal of Environmental Science and …, 2019 - gjesm.net
Modern studies in the field of environment science and engineering show that deterministic
models struggle to capture the relationship between the concentration of atmospheric …
models struggle to capture the relationship between the concentration of atmospheric …
Potential of ARIMA-ANN, ARIMA-SVM, DT and CatBoost for Atmospheric PM2.5 Forecasting in Bangladesh
Atmospheric particulate matter (PM) has major threats to global health, especially in urban
regions around the world. Dhaka, Narayanganj and Gazipur of Bangladesh are positioned …
regions around the world. Dhaka, Narayanganj and Gazipur of Bangladesh are positioned …
A comprehensive health assessment framework to facilitate IoT-assisted smart workouts: A predictive healthcare perspective
Enormous potential of Internet of Things (IoT) Technology has made it feasible to perceive
and analyze real time health conditions in ubiquitous manner. Moreover, incorporation of IoT …
and analyze real time health conditions in ubiquitous manner. Moreover, incorporation of IoT …
[BOOK][B] Social monitoring for public health
Public health thrives on high-quality evidence, yet acquiring meaningful data on a
population remains a central challenge of public health research and practice. Social …
population remains a central challenge of public health research and practice. Social …