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GitHub5y
MahmudulAlam/Image-Classification-Using-CNN - GitHub
Image Classification Using CNN Canadian Institute for Advanced Research (CIFAR) provides a dataset that consists of 60000 32x32x3 color images of 10 classes, known as CIFAR-10, with 6000 images per ...
GitHub2y
Casting-Defect-Detection-and-Classification-Model-using-CNN
Figure 1 below illustrates the Algorithm's Block Diagram. The availability of the defect is identified with a 94 percent accuracy rate, and the type of the defect is identified with a 68 percent ...
IEEE5y
DoT-Net: Document Layout Classification Using Texture-Based CNN
DoT-Net is a multiclass classifier that can effectively identify document component blocks such as text, image, table, mathematical expression, and line-diagram, whereas most related methods have ...
IEEE5mon
Integrating Data Mining, Deep Learning, and Gene Ontology Analysis for Gene Expression-Based Disease Diagnosis Systems | IEEE Journals & Magazine | IEEE Xplore
The manuscript details the outcomes of a comprehensive study on the application of cluster-bicluster analysis, gene ontology analysis, and convolutional neural network (CNN) for diagnosing cancer and ...