Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches
Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …
complex processes of waste management and recovery have limited the performance of …
Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
Cities foster economic growth. However, growing cities also contribute to air pollution and
climate change. The paper provides a perspective regarding the opportunity available in …
climate change. The paper provides a perspective regarding the opportunity available in …
Air pollution prediction with machine learning: a case study of Indian cities
K Kumar, BP Pande - International Journal of Environmental Science and …, 2023 - Springer
The survival of mankind cannot be imagined without air. Consistent developments in almost
all realms of modern human society affected the health of the air adversely. Daily industrial …
all realms of modern human society affected the health of the air adversely. Daily industrial …
A systematic literature review of deep learning neural network for time series air quality forecasting
Rapid progress of industrial development, urbanization and traffic has caused air quality
reduction that negatively affects human health and environmental sustainability, especially …
reduction that negatively affects human health and environmental sustainability, especially …
Machine learning and statistical models for predicting indoor air quality
Indoor air quality (IAQ), as determined by the concentrations of indoor air pollutants, can be
predicted using either physically based mechanistic models or statistical models that are …
predicted using either physically based mechanistic models or statistical models that are …
An overview of GeoAI applications in health and healthcare
The moulding together of artificial intelligence (AI) and the geographic/geographic
information systems (GIS) dimension creates GeoAI. There is an emerging role for GeoAI in …
information systems (GIS) dimension creates GeoAI. There is an emerging role for GeoAI in …
Cyber resilience in healthcare digital twin on lung cancer
As a key service of the future 6G network, healthcare digital twin is the virtual replica of a
person, which employs Internet of Things (IoT) technologies and AI-powered models to …
person, which employs Internet of Things (IoT) technologies and AI-powered models to …
A multimethod approach for county-scale geospatial analysis of emerging infectious diseases: a cross-sectional case study of COVID-19 incidence in Germany
C Scarpone, ST Brinkmann, T Große… - International journal of …, 2020 - Springer
Abstract Background As of 13 July 2020, 12.9 million COVID-19 cases have been reported
worldwide. Prior studies have demonstrated that local socioeconomic and built environment …
worldwide. Prior studies have demonstrated that local socioeconomic and built environment …
Potential value and impact of data mining and machine learning in clinical diagnostics
M Saberi-Karimian, Z Khorasanchi… - Critical reviews in …, 2021 - Taylor & Francis
Data mining involves the use of mathematical sciences, statistics, artificial intelligence, and
machine learning to determine the relationships between variables from a large sample of …
machine learning to determine the relationships between variables from a large sample of …
Selecting data analytic and modeling methods to support air pollution and environmental justice investigations: A critical review and guidance framework
Given the serious adverse health effects associated with many pollutants, and the
inequitable distribution of these effects between socioeconomic groups, air pollution is often …
inequitable distribution of these effects between socioeconomic groups, air pollution is often …