in order to recognize isfahan weather types, in this research 22 variables including temperature, precipitation, atmospheric humidity and wind were studied in isfahan synoptic station from dey,11th,1339(january,1st,1960) to dey,11th,1383 (december,31st,2004). a cluster analysis on the euclidean distance of standardized matrix of data and linking days on the basis of ward method showed that isfa...

Aiming at the problem of low accuracy vehicle image detection and recognition caused by visibility in foggy weather, an improved YOLOv5 algorithm is proposed. This adjusts brightness contrast adding adaptive histogram equalization method to preprocessing, highlights detailed information signs, changes backbone network standard convolution mode depth separable for model lightweight processing. B...

Scene perception is essential for driving decision-making and traffic safety. However, fog, as a kind of common weather, frequently appears in the real world, especially mountain areas, making it difficult to accurately observe surrounding environments. Therefore, precisely estimating visibility under foggy weather can significantly benefit management To address this, most current methods use p...

Digital Product Passports (DPPs) are cross-sectorial digital containers with relevant characteristics of products meant to enable a circular economy. The ecodesign directive proposal sets the background requirements for DPPs and bridges construction regulation (CPR) product singularities. Despite this streamlined vision, there many challenges key stakeholders, as manufacturers, need be engaged ...

Based on ship navigational requirements and safety in foggy conditions with a particular emphasis avoiding collisions improving abilities, we constructed fog navigation dataset along new method for enhancing images perceived visibility using discriminant deep learning architecture the EfficientNet neural network by replacing SE module incorporating convolution block attention focal loss functio...