We designed a graph-informed convolutional autoencoder called GICA to extract high-level features ... After identifying these significant features, we retained their original 2D structure. PCA was ...

In a major advancement, a new study titled "AI in 2D Mammography: Improving Breast Cancer Screening ... the study deployed advanced preprocessing techniques, custom convolutional neural networks, and ...

MECFormer consists of autoencoder, encoder, and dual-path aggregation decoder. First, the autoencoder extracts multi-scale exposure features representing the level of input exposure. Second, the ...

This paper presents a novel concept, a set of hybrid quantum-classical autoencoder architectures with a comprehensive feasibility study using standard encoded radio signals, to evaluate quantum neural ...

Description: This package ralizes general hypercomplex algebras neural networks. Dense and Convolutional (1D, 2D, 3D) hypercomplex layers are included. The package works with: Keras + TensorFlow ...

Description: This package ralizes general hypercomplex algebras neural networks. Dense and Convolutional (1D, 2D, 3D) hypercomplex layers are included. The package works with: Keras + TensorFlow ...

To learn more read out Meshy Review. Appy Pie's AI 3D Model Generator is a powerful tool that converts 2D images into high-quality 3D models, catering to industries like e-commerce, product design, ...

[1] Fuzzy Contrast Enhancement Techniques Using Rule-Based System and Intensification Operator ...