Artificial intelligence technologies for forecasting air pollution and human health: A narrative review
Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …
and human beings. The present review discussed the sources and impacts of pollutants on …
Achieving better indoor air quality with IoT systems for future buildings: Opportunities and challenges
X Dai, W Shang, J Liu, M Xue, C Wang - Science of The Total Environment, 2023 - Elsevier
With the development of IoT technology and low-cost indoor air quality (IAQ) sensors, the IoT-
based IAQ monitoring platform has garnered significant research interest and demonstrated …
based IAQ monitoring platform has garnered significant research interest and demonstrated …
Application of machine learning approaches to predict the impact of ambient air pollution on outpatient visits for acute respiratory infections
With a remarkable increase in industrialization among fast-developing countries, air
pollution is rising at an alarming rate and has become a public health concern. The study …
pollution is rising at an alarming rate and has become a public health concern. The study …
Assessment of machine learning-based methods predictive suitability for migration pollutants from microplastics degradation
The aim of the work was to assess the usefulness of machine learning in predicting the
migration of pollutants from microplastics. The search for methods to reduce unnecessary …
migration of pollutants from microplastics. The search for methods to reduce unnecessary …
Factors influencing indoor air pollution in buildings using PCA-LMBP neural network: a case study of a university campus
This study investigated indoor air quality (IAQ) and its association with building
characteristics and environmental factors in eleven different campus buildings in …
characteristics and environmental factors in eleven different campus buildings in …
[HTML][HTML] Advancement of Environmental Monitoring System Using IoT and Sensor: A Comprehensive Analysis
The emergence of the Internet of Things (IoT) has brought a revolution in global
communication network technology. It has acquired many day-to-day applications in …
communication network technology. It has acquired many day-to-day applications in …
An effective integrated genetic programming and neural network model for electronic nose calibration of air pollution monitoring application
Air quality control requires real-time monitoring of pollutant concentration distributions in
large urban areas. Estimation models are used for the soft-calibration of low-cost …
large urban areas. Estimation models are used for the soft-calibration of low-cost …
Importance of ozone precursors information in modelling urban surface ozone variability using machine learning algorithm
V Balamurugan, V Balamurugan, J Chen - Scientific reports, 2022 - nature.com
Surface ozone (O 3) is primarily formed through complex photo-chemical reactions in the
atmosphere, which are non-linearly dependent on precursors. Even though, there have …
atmosphere, which are non-linearly dependent on precursors. Even though, there have …
Assessment of ann algorithms for the concentration prediction of indoor air pollutants in child daycare centers
As the time spent by people indoors continues to significantly increase, much attention has
been paid to indoor air quality. While many IAQ studies have been conducted through field …
been paid to indoor air quality. While many IAQ studies have been conducted through field …
Identifying Disease and Diagnosis in Females Using Machine Learning
S Pramanik, SK Bandyopadhyay - Encyclopedia of Data Science …, 2023 - igi-global.com
Here, the researchers are trying to prepare a model for identifying whether a patient is
diabetic or not. The Pima Indian Dataset has been used in this case study. There are two …
diabetic or not. The Pima Indian Dataset has been used in this case study. There are two …