Accurate PM 2.5 concentrations predicting is critical for public health and wellness as well
as pollution control. However, traditional methods are difficult to accurately predict PM 2.5 …

Skin cancer diagnosis often relies on image segmentation as a crucial aid, and a high-
performance segmentation can lower misdiagnosis risks. Part of the medical devices often …

Accurate prediction of air pollution is a difficult problem to be solved in atmospheric
environment research. An Artificial Neural Network (ANN) is exploited to predict hourly PM2 …

Biomass to coal-like hydrochar via hydrothermal carbonization (HTC) is a promising route
for sustainability development. Yet conventional experimental method is time-consuming …

With the recent diffusion of access to publicly available large language models (LLMs),
common interest in generative artificial-intelligence-based applications for medical purposes …

The accurate estimation of fine particulate matter (PM 2.5) is significant for both
environmental protection and health assessment. However, the sparsity of monitoring …

Nowadays, air pollution has become one of the most serious environmental problems facing
humanity and an inescapable obstacle limiting the sustainable development of cities and …

Many cities have long suffered from the events of fine particulate matter (PM 2.5) pollutions.
The Taiwanese Government has long strived to accurately predict the short-term hourly …

Recent years have witnessed the exciting performance of trackers based on Transformer.
However, they usually separate the process of information extraction and integration …

In this paper, we propose an improved version of Twin SVM using a non-smooth
optimization method. Twin SVM generally consists in determining two non-parallel planes by …