Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …

This paper presents end-to-end learning from spectrum data-an umbrella term for new
sophisticated wireless signal identification approaches in spectrum monitoring applications …

Deep convolutional neural networks have been successfully applied to many image-
processing problems in recent works. Popular network architectures often add additional …

Atmospheric warming threatens to accelerate the retreat of the Antarctic Ice Sheet by
increasing surface melting and facilitating 'hydrofracturing',,,,,–, where meltwater flows into …

In this review, we explore the historical development and future prospects of artificial
intelligence (AI) and deep learning in astronomy. We trace the evolution of connectionism in …

We study the task of image inpainting, where an image with missing region is recovered with
plausible context. Recent approaches based on deep neural networks have exhibited …

Radio frequency interference (RFI) is a major issue in accurate remote sensing by a
synthetic aperture radar (SAR) system, which poses a great hindrance to raw data collection …

This study proposes a modified convolutional neural network (CNN) algorithm that is based
on dropout and the stochastic gradient descent (SGD) optimizer (MCNN-DS), after analyzing …

Abstract Coronary Artery Disease (CAD) is commonly diagnosed using X-ray angiography,
in which images are taken as radio-opaque dye is flushed through the coronary vessels to …