While the collection of behavioral protocols has been common practice in human-computer interaction research for many years, the analysis of large protocol data sets is often extr...
Walter C. Mankowski, Peter Bogunovich, Ali Shokouf...
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Sampling is a popular method of data collection when it is impossible or too costly to reach the entire population. For example, television show ratings in the United States are g...
Solving complex global problems such as illegal immigration, border control, and terrorism requires government organizations at all levels to share not only data but, more importa...
Seema Degwekar, Jeff DePree, Howard W. Beck, Carla...
Due to the application-specific nature of wireless sensor networks, application-aware algorithm and protocol design paradigms are highly required in order to optimize the overall ...