Abstract: Convolutional neural network (CNN) provides significant performance improvement for depth map super-resolution (DSR). However, CNN-based DSR methods still face two prominent issues: 1) the ...
Among patients with complex lesions who underwent optical coherence tomography (OCT)-guided PCI, long lesions and small vessels were identified as major determinants of OCT suboptimization, and ...
Background: A growing workforce is being employed internationally to assist patients in navigating between health and social care providers. These roles operate under various care models including ...
Abstract: This article presents a simplified discrete space vector modulation (DSVM)-based predictive torque control (PTC) scheme in order to improve the performance of a two-level inverter-fed ...
1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...
With the election in full swing, Canadians are discussing important issues that affect our lives. But most people likely don’t know March is Self-Harm Awareness month, which is meant to spread ...
The Federal Risk and Authorization Management Program (FedRAMP) needs to be re-envisioned in the age of artificial intelligence, according to industry technology experts. Speaking during a Leadership ...
In the current economic climate, businesses must be flexible to survive and thrive. That’s why owners are looking for ways to improve their profitability. The simplest method is reducing operational ...
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