The semantic segmentation of high-resolution remote sensing images is widely used in various precision agriculture, urban planning, and environmental detection are some examples of these industries.Convolutional neural networks (CNNs) are excellent in the semantic segmentation of remote sensing images.CNN excels in extracting local feature details
BackgroundThe lockdown measures during the SARS-CoV-2 pandemic could have influenced drug consumption patterns motovox scooter parts of persons with drug use disorder, especially due to a reduced availability of drugs, an increased consumption of sedating substances as a coping strategy, or a shift to novel psychotropic substances (NPS) associated
In the 20th century, thirteen distinct human immunodeficiency viruses emerged following independent cross-species transmission events involving simian immunodeficiency viruses (SIV) from African primates.In the late 1900s, pathogenic SIV strains also emerged in the United Sates among captive Asian macaque species following their unintentional infec
Eliminating tetracycline antibiotics from waste streams by conventional water treatment techniques remains challenging.Vacuum-ultraviolet/ultraviolet (VUV/UV)-based advanced oxidation technique is a promising, environment-friendly alternative to remove micropollutants from wastewater without adding chemicals.This study carried out flow-through expe