Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeo...
Large-scale distributed systems, such as e-healthcare systems, are difficult to develop due to their complex and decentralized nature. The Service Oriented Architecture facilitat...
Firat Kart, Gengxin Miao, Louise E. Moser, P. M. M...
Advances in wireless sensor network management have potential applications in urban telehealth. Telehealth is the delivery of health related services and information via telecommu...
Abstract. The deployment of ZigBee networks is expected to facilitate numerous applications, such as home healthcare, medical monitoring, consumer electronics, and environmental se...
Tony Sun, Nia-Chiang Liang, Ling-Jyh Chen, Ping-Ch...