In our previous work, a two-phase multiobjective sparse unmixing (Tp-MoSU) approach has been proposed, which settled the regularization parameter issues of the regularization unmixing methods.However, Tp-MoSU has limited performance in identifying the real end-members from the highly noisy data in the first phase and cannot effectively exploit the

Abstract.In the downstream part of the spillway building, especially in the flood way, occurs phenomenon of changing flow conditions from super critical to Apothecary sub critical which causes a hydraulic jump and used by energy absorbers to reduce flow energy.The hydraulic jump in the floodway causes scouring of the bottom, particularly in the unp

Deep learning shows its advantages and potentials in plant disease recognition and has witnessed a profound development in recent years.To obtain a competing performance with a deep learning algorithm, enough amount of annotated data is requested but in the natural world, scarce or imbalanced data are common, and annotated data is expensive or hard

Jing Xia,1 Yanqiu Du,2 Jiyang Han,1 Guo Liu,1 Xumei Wang11Department of Psychiatry, Shengjing Hospital of China Medical University, Heping District Shenyang, Liaoning, People’s Republic of China; 2Department of Medicine, Shenyang Ninth People’s Hospital, Tiexi District, Shenyang, Liaoning, People’s Republic of ChinaObjective: Chai