CircFormer is a deep learning framework for circular DNA (eccDNA) classification using k-mer tokenization with convolution-enhanced self-attention and symmetric positional encoding designed for ...
In this work, a comprehensive methodology for the fitting of single-walled carbon nanotube absorption spectra is presented. Different approaches to background subtraction, choice of line profile, and ...
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The network incorporates the innovative Partial Convolution (PConv) technique, which exploits spatial redundancy in feature maps. This approach significantly reduces the number of floating-point ...
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