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, ...
"""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 ...
Abstract: Vector hydrophones are core components of underwater sonar systems. However, traditional vector hydrophones are characterized by high-noise levels and constrained low-frequency sensitivity, ...
In this tutorial, we explore the capabilities of the pymatgen library for computational materials science using Python. We begin by constructing crystal structures such as silicon, sodium chloride, ...