Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …

In the field of freeway traffic safety research, there is an increasing focus in studies on how to
reduce the frequency and severity of traffic crashes. Although many studies divide factors …

In recent years, road traffic accidents, as a leading cause of accidental deaths, have been
attracting more and more attention across several disciplines. Notably, the feature study on …

Time series forecasting using historical data is significantly important nowadays. Many fields
such as finance, industries, healthcare, and meteorology use it. Profit analysis using …

Road hazards (RH) have always been the cause of many serious traffic accidents. These
have posed a threat to the safety of drivers, passengers, and pedestrians, and have also …

The field of omics, driven by advances in high-throughput sequencing, faces a data
explosion. This abundance of data offers unprecedented opportunities for predictive …

Modern oncology offers a wide range of treatments and therefore choosing the best option
for particular patient is very important for optimal outcome. Multi-omics profiling in …

Sustainable monitoring of traffic using clean energy supply has always been a significant
problem for engineers. In this study, we proposed a self-powered smart transportation …

Adverse weather could potentially increase the probability of driving errors and hazardous
driving actions and it is necessary to explicitly understand the endogenous and exogenous …

Artificial intelligence methods offer exciting new capabilities for the discovery of biological
mechanisms from raw data because they are able to detect vastly more complex patterns of …