Machine learning (ML) and deep learning (DL) have become very popular in the research
community for addressing complex issues in intelligent transportation. This has resulted in …

As waves are being developed as a renewable energy source, the development of new
predictive algorithms to forecast wave height has garnered considerable interest. This study …

The medical and healthcare domains require automatic diagnosis systems (ADS) for the
identification of health problems with technological advancements. Biomedical imaging is …

The COVID-19 pandemic has created unforeseen effects in public transport and the mobility
of people in cities globally. Johannesburg, being a developing city in one of the most …

Among the critical global crises curbing world development and sustainability, air quality
degradation has been a long-lasting and increasingly urgent one and it has been sufficiently …

A private intersection-sum (PIS) scheme considers the private computing problem of how
parties jointly compute the sum of associated values in the set intersection. In scenarios …

The traffic flow problem has become essential in urban planning and management in today's
increasingly urbanized world. Traditional traffic flow prediction models cannot fully consider …

Motor vehicle traffic is recognized as one of the critical factors that causes air pollution;
however, the relationship between traffic volume and air pollutant concentrations is unclear …

Globally all countries encounter air pollution problems along their development path. As a
significant indicator of air quality, PM 2.5 concentration has long been proven to be affecting …

This article presents a hybrid model for the continuous monitoring and prediction of the
spatio-temporal dependencies of road traffic. This model is built on the basis of training a …