Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

A chronology of global air quality

D Fowler, P Brimblecombe… - … of the Royal …, 2020 - royalsocietypublishing.org
Air pollution has been recognized as a threat to human health since the time of Hippocrates,
ca 400 BC. Successive written accounts of air pollution occur in different countries through …

Data-driven machine learning in environmental pollution: gains and problems

X Liu, D Lu, A Zhang, Q Liu, G Jiang - Environmental science & …, 2022 - ACS Publications
The complexity and dynamics of the environment make it extremely difficult to directly predict
and trace the temporal and spatial changes in pollution. In the past decade, the …

Air pollution exposure and Covid-19 in Dutch municipalities

MA Cole, C Ozgen, E Strobl - Environmental and Resource Economics, 2020 - Springer
In light of the existing preliminary evidence of a link between Covid-19 and poor air quality,
which is largely based upon correlations, we estimate the relationship between long term air …

Effects of COVID-19 lockdown on global air quality and health

F Liu, M Wang, M Zheng - Science of the Total Environment, 2021 - Elsevier
The COVID-19 pandemic has put much of the world into lockdown, as one unintended
upside to this response, the air quality has been widely reported to have improved …

Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

Has the sustainable development planning policy promoted the green transformation in China's resource-based cities?

Y Wang, H Chen, R Long, Q Sun, S Jiang… - Resources, Conservation …, 2022 - Elsevier
Scientific evaluation of the transformation effect of resource-based cities is an important way
to measure the effect of the implementation of national transformation policies, and it is also …

Causal inference for time series analysis: Problems, methods and evaluation

R Moraffah, P Sheth, M Karami, A Bhattacharya… - … and Information Systems, 2021 - Springer
Time series data are a collection of chronological observations which are generated by
several domains such as medical and financial fields. Over the years, different tasks such as …

Attribution of air quality benefits to clean winter heating policies in China: combining machine learning with causal inference

C Song, B Liu, K Cheng, MA Cole, Q Dai… - Environmental …, 2023 - ACS Publications
Heating is a major source of air pollution. To improve air quality, a range of clean heating
policies were implemented in China over the past decade. Here, we evaluated the impacts …

Quantification of COVID-19 impacts on NO2 and O3: Systematic model selection and hyperparameter optimization on AI-based meteorological-normalization methods

YJ Wong, A Yeganeh, MY Chia, HY Shiu… - Atmospheric …, 2023 - Elsevier
Since the unprecedented outbreak of the COVID-19, numerous meteorological-
normalization techniques have been developed in lockdown-imposed regions to decouple …