Deep learning has broad applications in various fields.However,users still need to face problems from two aspects when applying deep learning.First,deep learning has a complex theoretical background,non-professional users lack background knowledge in modeling and tuning.It is difficult for them to build performance-optimized models.Second,modules s
Purpose: This study examines how anxious the Las Vegas public is through a case study of one local international airport.Design/Methodology/Approach: This study examines gender differences in consumer behaviors among the flying public inside Las Vegas McCarran International Airport in a field experiment theoretically grounded in Terror Management T
Over the years, various immersive virtual training environments (iVTEs) have been developed, allowing companies to start transitioning to Virtual Reality (VR) technologies to train their personnel.This transition forces companies to start using game engines as a foundation to develop such iVTEs, which also requires a multidisciplinary team.When dev
The brain computer interface (BCI) speller system can be classified into synchronous and asynchronous type.In synchronous type, one of the target characters is selected with specific interval periodically even if the user is making or not making attention on the target, whereas, in asynchronous case, the target character will not be selected until