On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement
Social distancing in public spaces has become an essential aspect in helping to reduce the impact of the COVID-19 pandemic. Exploiting recent advances in machine learning, there have been many...
Provenance and data differencing for workflow reproducibility analysis
One of the foundations of science is that researchers must publish the methodology used to achieve their results so that others can attempt to reproduce them. This has the added benefit of...
A Flow Sensitive Security Model for Cloud Computing Systems
The extent and importance of cloud computing is rapidly increasing due to the ever increasing demand for internet services and communications. Instead of building individual information technology...
Secure & Rapid Composition of Infrastructure Services in the Cloud
A fundamental ambition of grid and distributed systems is to be capable of sustaining evolution and allowing for adaptability ((F. Losavio et al., 2002), (S. Radhakrishnan, 2005)). Furthermore, as...