Cloud- and Big Data-based Algorithms for Cognitive Radio Networks
Some of the challenges of Cognitive Radio Networks (CRNs) include the service interruption loss, complexity of processing and exchange of large amount of data and the non-real-time exchange of spectrum sensing data. We investigated a cloud-based Cooperative Spectrum Sensing model for CRN that uses a two-layer Fusion Center design for data a Read Details
Big Data Analytics and Machine Learning for Next-Gen Networks
Intelligent Transportation System (ITS) is a potential solution to road networks congestions and fatalities. Due to the huge cost of implementation of ITS, we are investigating cloud-based context-sensitive mobile ITS infrastructure with hybrid Data Analytics approaches including collaborative filtering, ensemble machin Read Details
Context-Sensitive IoT Applications for Enhanced Healthcare Delivery
There is an alarming rate of increase in the use of illegal drugs by pregnant women and the children-at-risk of birth developmental problems. We are investigating cloud-enabled IoT support for women seeking addiction treatment during pregnancy. We are particularly interested in Machine Learning approaches that will allows the identific Read Details
Survivable Intelli-Drive System for the Aging
The aging process and the negative effects on the ability of the seniors to navigate the road networks is a growing concern. When disaster strikes, aged people are the most affected. We are seeking a safe and efficient IntelliDrive system that will reduce the threats to the aging population in the form of accidents during medical crises or faili Read Details