Data Analytics Challenges in Biomedical Engineering
Biomedical engineering applications are now generating data at a rate that is increasing even faster than Moore's Law, just as that Law has come to an end. Thus it is incumbent in those who design intelligent computing techniques to compensate for the bottleneck that results. This provides amazing challenges and opportunities for researchers in this fast-growing field.
D. C. Wunsch, "Data Analytics Challenges in Biomedical Engineering," Proceedings of the IEEE World Congress on Intelligent Control and Automation (2016, Guilin, China), Institute of Electrical and Electronics Engineers (IEEE), Jun 2016.
IEEE World Congress on Intelligent Control and Automation (2016: Jun. 12-15, Guilin, China)
Electrical and Computer Engineering
Center for High Performance Computing Research
Second Research Center/Lab
Intelligent Systems Center
Article - Conference proceedings
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jun 2016