The effects of transport development on people's lives are diverse, ranging from economy to
tourism, health care, etc. Great progress has been made in this area, which has led to the …

The detection of mental fatigue is an important issue in the nascent field of
neuroergonomics. Although machine learning approaches and especially deep learning …

Flooding is one of the most serious and frequent natural hazards affecting human life,
property, and the environment. This study develops and tests a deep learning approach for …

We are witnessing the massive and impressive penetration of artificial intelligence (AI) into
many areas of human activity. This process is expected to intensify in the next few decades …

In this paper, we propose novel convolutional encoder-decoder architectures for real-time
semantic segmentation based on an image-to-image translation approach via the space-to …

In this study, the accuracy of the artificial neural network (ANN) was assessed considering
the uncertainties associated with the randomness of the data and the lack of learning. The …

Semantic segmentation is crucial for autonomous driving as the pixel-wise classification of
the surrounding scene images is the main input in the scene understanding stage. With the …

Neonatal death is still a concerning reality for underdeveloped and even for some of the
developed countries. Worldwide data indicate that 26.693 babies out of 1,000 births …

Consumer feedback plays a crucial role in enhancing the quality of clothing products.
However, effectively analyzing the vast and diverse range of reviews necessitates the …

Semantic segmentation plays a pivotal role in enhancing the perception capabilities of
autonomous vehicles and self-driving cars, enabling them to comprehend and navigate …