We present automated, real-time models built with machine learning algorithms which use videotapes of subjects' faces in conjunction with physiological measurements to predic...
Jeremy N. Bailenson, Emmanuel D. Pontikakis, Iris ...
Purpose – The purpose of this paper is to suggest and empirically test a model that explains employee capabilities from the knowledge-based perspective. In this model, human cap...
Three different security models have been advocated to determine the access rights to documents in a network of computers; DAC, MLS, and RBAC. Each of these models has its strengt...
Edgar Weippl, Ismail Khalil Ibrahim, Werner Winiwa...
This paper studies the “intermittent” chaos and subharmonics observed in switching dc/dc converters using a simple circuit model that describes possible unintended coupling of...
C. K. Michael Tse, Yufei Zhou, Francis Chi-Moon La...
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...