Road traffic accident (RTA) poses a significant road safety issue due to the increased
fatalities worldwide. To address it, various artificial intelligence solutions are developed to …

Rapid and accurate prediction of metal bioaccumulation in crops are important for assessing
metal environmental risks. We aimed to incorporate machine learning modeling methods to …

Due to the vision obstruction caused by visually blind obstacles on urban roads, pedestrians
suffer a high crash risk in pedestrian-vehicle conflicts. At the same time, the connected …

Excessive discharges of nitrogen and phosphorus nutrients lead to eutrophication in coastal
waters. Optical remote sensing retrieval of the key eutrophication indicators, namely …

Sažetak Traffic accidents are one of the main causes of fatalities and serious injuries among
both adults and children worldwide. Due to the ongoing significant socio-economic losses …

Roads represent very important infrastructure and play a significant role in economic,
cultural, and social growth. Therefore, there is a critical need for many researchers to model …

Dam settlement monitoring is a crucial project in the safety management of concrete face
rockfill dams (CFRD) over their whole life cycle. With the development of an automatic …

Aim/purpose–This study aims to identify the role of Artificial Intelligence (AI) in achieving the
Sustainable Development Goals (SDGs), with specific reference to their targets, and to …

Recent advancements in biotechnological processes have increasingly relied on machine
learning (ML) to enhance efficiency particularly in optimizing microalgae cultivation using …

The rapid development of AI shows its power and great development potential in practical
engineering applications. Critical issues and potential solutions can reduce road traffic …