Abstract: We propose a novel deep learning architecture, called XcelNet17, for image classification ... in the literature in terms of classification accuracy. Additionally, we present BA-ABC, a new ...

Abstract: With the popular use of high-resolution satellite images, more and more research efforts have been placed on remote sensing scene classification/recognition ...

Deep learning ... feature representation for hyperspectral image classification. The proposed GLNet adopts an encoder-decoder architecture with skip connections. In the encoder phase, we introduce a ...

Most studies on machine learning classification of electrocardiogram ... or in telehealth. Overall, classification performance on ECG images using deep CNNs is comparable to the best models using raw ...