Time Series Classification and Extrinsic Regression are important and challenging machine
learning tasks. Deep learning has revolutionized natural language processing and computer …

With the gradual deepening of the research and governance of air pollution, chemical
transport models (CTMs), especially the third-generation CTMs based on the" 1 atm" theory …

Air pollution concentrations in Ho Chi Minh City (HCMC) have been found to surpass the
WHO standard, which has become a very serious problem affecting human health and the …

Since air pollution negatively affects human health and causes serious diseases, accurate
air pollution prediction is essential regarding environmental sustainability. Although …

Smart cities are urban areas that utilize digital solutions to enhance the efficiency of
conventional networks and services for sustainable growth, optimized resource …

Recent studies have demonstrated that the Ukraine–Russia war has incurred evident
changes to anthropogenic activities in the Kiev metropolis. Hence, this work employs …

For identifying the optimal model for real-time conflict prediction, there is a necessity for
proposing a quantitative analysis approach that adaptively selects the optimal prediction …

In today's urban environments, accurately measuring and forecasting air pollution is crucial
for combating the effects of pollution. Machine learning (ML) is now a go-to method for …

Clarifying the impact of human activities on polycyclic aromatic hydrocarbons (PAHs) in soil
can provide a scientific basis to reduce PAHs pollution and formulate control measures to …

Clean air, as a symbol of high-quality air quality, is the most basic requirement for people to
maintain health. Moreover, in keeping humans fit, accurate short-term air quality prediction is …