Deep reinforcement learning has demonstrated its capability to solve a diverse array of challenging problems, which were not able to solve previously. It has been able to achieve human-level performance in Atari 2600 games and it has shown great p...
The focus of this thesis is on automation in road asset inspection using deep neural networks. Even though some progress has been made in automation of data collection and condition assessment, the amount of manual operation and the cost of road i...
This thesis proposes "1D Convolution replacement layer ", a novel optimization for first convolution layer in CNN. This optimization enables edge friendly streaming accelerator design with a minimum drop in accuracy. This optimization reduces the ...
Emergency medical services (EMS); commonly referred to as ambulance, paramedic or pre-hospital emergency services, are a critical component in the delivery of urgent medical care to communities. EMS agencies, the organizations responsible for prov...
Data mining techniques gained acceptance as a clear means of finding information in data. In the past, these techniques have been effectively applied to discover patterns, find correlations, extract information from unstructured data. Often overlo...
