Deep convolutional b-0665-cr-bstr neural networks (CNNs) have yielded unusually brilliant results in synthetic aperture radar (SAR) target recognition.However, overparameterization is a widely-recognized property of deep CNNs, and most previous works excessively pursued high accuracy but neglected the requirement of model deployment in radar system

We give a brief review of the current constraints and prospects for detection of higgsino dark matter in low-scale supersymmetry.In the first part we argue, after performing a survey of all potential dark matter particles in the MSSM, that the (nearly) pure higgsino is the only candidate emerging virtually unscathed from the wealth of observational

Drawing leather baton holder on extensive literature reviews focusing, in particular, on user (and audience) research in the fields of library and information science and communication studies, the author describes the increasing chaos of human studies and user studies--the plethora of theories, concepts, approaches, methods, and findings which pla