Abstract: To address the problem of abnormal radar parameters caused by electromagnetic interferences, a recovery method for abnormal radar parameters based on improved Variational Autoencoder model ...

Abstract: Semantic segmentation of remote sensing images (RSIs) has significant advances with the adoption of deep neural networks, taking the advantages of convolutional neural networks (CNNs) in ...

Diagnosing substance-use disorder can be difficult because of patient denial related to the stigma attached to addiction. Now a study by the University of Cincinnati has used a novel artificial ...

Aim To conduct an analysis of ophthalmic manifestations in leukaemic patients and evaluate their impact on visual outcomes and disease remission. Methods This retrospective, comparative study included ...

America is debating expanding involuntary treatment for people with serious mental illness and/or addictions who are experiencing homelessness. The recent executive order "Ending Crime and Disorder on ...