Deep CCD images of the lensed QS0 2345+007 taken in the blue, red, and infrared show no galaxy between the QS0 images to J=25.5, R=26.5, and I=25th mag.
CCD multi-color imaging of faint galaxies in 12 random high- latitude fields reveals strong evidence for color and luminosity evolution.
The feasibility of data based machine learning applied to ultrasound tomography is studied to estimate water-saturated porous material parameters.
This paper gives a rigorous analysis of trained Generalized Hamming Networks (GHN) proposed by [9] and discloses an interesting finding about GHNs, i.e., stacked convolution layers in a GHN is equi
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In this paper we focus on the application of deep learning for communication over dispersive nonlinear channels, as encountered in low-cost optical intensity modulation/direct detection (IM/DD) lin
According to the literature regarding visual saliency, observers may exhibit considerable variations in their gaze behaviors.
Deep learning methods combined with large datasets have recently shown significant progress in solving several medical tasks.
We investigate deep learning for video compressive sensing within the scope of snapshot compressive imaging (SCI).
In this article, we propose multiple machine learning (ML) based physical-layer receiver solutions for demodulating orthogonal frequency-division multiplexing (OFDM) signals that are subject to hig
