A virtual reality based immersive glasses technology for obtaining primary geography
learning has been proposed, synthesizing a number of latest information technologies …

In this paper, two mHealth applications are introduced, which can be employed as the
terminals of bigdata based health service to collect information for electronic medical …

Mean square error (MSE) is the most prominent criterion in training neural networks and has
been employed in numerous learning problems. In this paper, we suggest a group of novel …

In this paper, we propose a multi-kernel classifier learning algorithm to optimize a given
nonlinear and nonsmoonth multivariate classifier performance measure. Moreover, to solve …

A virtual reality based enhanced technology for learning primary geography is proposed,
which synthesizes several latest information technologies including virtual reality (VR), 3D …

With several characteristics, such as large scale, diverse predictability and timeliness, the
city traffic data falls in the range of definition of Big Data. A Virtual Reality GIS based traffic …

As one of the most critical issues for target track, α-jerk model is an effective maneuver target
track model. Non-Gaussian noises always exist in the track process, which usually lead to …

One of the central challenges in cancer research is identifying significant genes among
thousands of others on a microarray. Since preventing outbreak and progression of cancer …

In recent years, research on information theoretic learning (ITL) criteria has become very
popular and ITL concepts are widely exploited in several applications because of their …

The proposed platform supports the integrated VRGIS functions including 3D spatial
analysis functions, 3D visualization for spatial process and serves for 3D globe and digital …