Modulation signal classification algorithm based on feature network. by Li Yuan (102305)

“…<p>Modulation signal classification algorithm based on feature network.</p>…”

The architecture of the SE-multi-input CNN model. by Bin Zheng (45359)

“…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …”

Confusion matrix for the Multi-input CNN model. by Bin Zheng (45359)

“…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …”

Cell type classification in the 9-dpg leaves. by Frances K. Clark (5617169)

“…Stomata and pavement cells were first classified using a trained SVM classification algorithm based on cell shape features. Because meristemoids and stomata are difficult to distinguish at this stage, both were classified as stomata. …”

Cell type classification in the leaf and sepal. by Frances K. Clark (5617169)

“…Stomata and pavement cells were first classified using a trained classification algorithm based on cell shape features. Giant cells were defined as the largest cells, using a size threshold based on <i>atml1-3</i> mutants (see <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003469#sec017" target="_blank">Materials and methods</a>). …”

Confusion matrices for single-input CNN models. by Bin Zheng (45359)

“…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …”

Confusion matrix for the Multi-input CNN model. by Bin Zheng (45359)

“…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …”