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Convolutional Neural Networks are a type of neural network in which only subsets of possible connections between layers exist to create overlapping regions. They are commonly used for visual tasks.

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Using time stamps as input to Neural Networks to reconstruct particle tracks

So here's the thing: consider a detector, made of several vertical strings, each hosting 60 sensors distributed equidistantly, as shown in the following picture (dark dots are sensors): Particles wi …
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