Abstract The Monterrey Metropolitan Area is one of the most densely populated and polluted
regions in Latin America. Hence, providing early warnings to the population when pollutant …

During the past years, air quality has become an important global issue, due to its impact on
people's lives and the environment, and has caused severe problems for humans. As a …

Changes in streamflow within catchments can have a significant impact on agricultural
production, as soil moisture loss, as well as frequent drying and wetting, may have an effect …

The essence of quantum machine learning is to optimize problem-solving by executing
machine learning algorithms on quantum computers and exploiting potent laws such as …

Traditional time series forecasting models, like ARIMA and regression models, can hardly
capture nonlinear patterns. Support vector regression (SVR), a novel neural network …

The prediction of Sea Surface Temperature (SST) is of great importance since it is an
indicator of extreme climate phenomena that have occurred in South America. The use of …

The machinery industry is one of the most important exporting industries in Taiwan. The
values of Taiwan's machinery industry have been increasing continuously over the past …

This study introduces a new methodology aimed at predicting gross β levels in the
atmosphere. The methodology incorporates input data consisting of local meteorological …

Forecasting urban air temperature (Ta) is crucial due to its substantial socio-economic and
environmental implications. Machine learning approaches, particularly neural networks with …

Özet Sınıflandırma; yeni karşılaşılan veri örneklerinin önceden karşılaşılmış olan verilerden
elde edilen bilgilerle fikir yürütülerek farklı sınıflara ayrıştırılması işlemidir. Sınıflandırma …