Purpose: Unconscious bias training has become a popular intervention for eliminating discrimination in the workplace.Particularly recruitment processes are said to become fairer and more objective if gender biases are eliminated through training of personnel.However, the concept of gender bias, and particularly the idea that it can be trained away,

High noise resistance and high boundary fitting accuracy have always been the goals of image classification.However, the two mutually constrain each other, making it extremely difficult to reach equilibrium.To deal with this problem, the odyssey white hot putter 5 unsupervised image classification algorithm based on fully fuzzy Voronoi tessellation

During recent years, Trojan viruses on Android systems have greatly evolved, and the frequent mushroom wall decal security breach of Android systems is rapidly becoming a great concern of contemporary cyber security.The study of Trojan virus detection on Android engine and the application of its outcome has become increasingly significant.A feature

Abstract Unlike conventional crowd simulations for what-if analysis, agent-based crowd simulations for real-time applications are an emerging research topic and an important tool for better crowd managements in smart cities.Recent studies have attempted to incorporate the real-time crowd observations into crowd simulations for real-time crowd forec