IEEE

Convolutional Transformer Network for Hyperspectral Image Classification

Abstract: Convolutional neural networks (CNNs) have attained remarkable performance in hyperspectral image (HSI) classification. However, the existing CNNs are restricted by their limited receptive ...
GitHub

dimitrisdais/crack_detection_CNN_masonry

This GitHub Repository was produced to share material relevant to the Journal paper Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer ...
C&EN

Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests

Department of Chemistry, Department of Biomolecular Chemistry and National Center for Quantitative Biology of Complex Systems, University of Wisconsin—Madison, Madison, Wisconsin 53706, United States ...
IEEE

Deriving Good LDPC Convolutional Codes from LDPC Block Codes

Abstract: Low-density parity-check (LDPC) convolutional codes are capable of achieving excellent performance with low encoding and decoding complexity. In this paper, we discuss several ...