Abstract: Convolution Neural Networks (CNNs) are pivotal in image processing. Prominent CNN models include SqueezeNet, MobileNet, Xception, VGG-16, and AlexNet. These models transform 2D data to 1D, ...
When it comes to using AI, it seems lawyers just can't help themselves. Last year saw a rapid increase in court sanctions against attorneys for filing briefs containing errors generated by artificial ...
Abstract: Fourth-order cumulants (FOC) is well known for direction of arrivals (DOA) estimation due to the high degrees of freedom (DOF), especially when combined with a sparse array. In this paper, ...
"""An implementation of a deque with an array as the underlying structure, resizing when needed. Most of the code is reused from the queue implementation, with a few added deque methods. """An ...