Previously, our international team proposed a three-tiered pattern classification (Pattern Classification) system for endocervical adenocarcinoma of the usual type that correlates with nodal disease ...
The deep learning model is based on Convolutional Neural Networks (CNNs), which are highly effective for image classification tasks. The architecture includes: Convolutional layers for feature ...
Abstract: The classification of incomplete patterns is a very challenging task because the object (incomplete pattern) with different possible estimations of missing values may yield distinct ...
ABSTRACT: A desirable software engineering goal is the prediction of software module complexity (a qualitative concept) using automatically generated software metrics (quantitative measurements). This ...
A variety of applications depend on the scene classification of high-resolution satellite images. Due to high spatial resolution remote sensing images can be easily acquired, several types of scene ...
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