Abstract: The quantitative evaluation of defects is one of the challenges of eddy current (EC) testing. Efficient algorithm that requires a small amount of time and hardware resources is needed. In ...
Diagnosis of shockable rhythms leading to defibrillation remains integral to improving out‐of‐hospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ...
Space to play or pause, M to mute, left and right arrows to seek, up and down arrows for volume. This speed is not only achieved through powerful computers but also through the creation and tuning of ...
Learning from limited exemplars (few-shot learning) is a fundamental, unsolved problem that has been laboriously explored in the machine learning community. However, current few-shot learners are ...
2020-06-21 14:35:26.768642: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2020-06-21 14:35:26 ...
Work has finished for the day. You've moved from your makeshift home desk to the couch, and now you face what is perhaps the biggest dilemma of your day: what to watch. On Netflix Middle East alone ...
Abstract: Convolutional Neural Networks (CNN) are widely used in different artificial intelligence (AI) applications. Major part of the computation of a CNN involves 2D convolution. In this paper, we ...
3D Ultrasound imaging has become an important means of scoliosis assessment as it is a real-time, cost-effective and radiation-free imaging technique. However, the coronal images from different depths ...
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