In semantic segmentation tasks, the transition from convolutional neural networks (CNNs) to transformers is driven by the latter's superior ability to capture Round Insert Pans global semantic information in remote sensing images.However, most transformer methods face challenges such as slow inference speed and limitations in capturing local

Robot assembly tasks can fail due to unpredictable errors and can only continue with the manual intervention of a human operator.Recently, we proposed an exception strategy learning framework based on statistical learning and context determination, which can successfully resolve such situations.This paper deals with context determination from multi

Abstract Background The burgeoning prevalence of food allergy-related diseases is closely associated with geographical allergen distribution and societal lifestyle paradigms.This study aims to shed light on the distribution patterns of specific IgE (sIgE) and total IgE (tIgE) reactivity to common food allergens in the Southern Chinese populace.Meth

Heavy metals are known as an important group of pollutants in soil.Major sources of heavy metals are modern Burdock Root industries such as mining.In this study, spatial distribution and environmental behavior of heavy metals in the Jajarm bauxite mine have been investigated.The study area is one of the most important deposits in Iran, which includ