Measuring the morphological parameters of galaxies is a key requirement for studying their
formation and evolution. Surveys such as the Sloan Digital Sky Survey have resulted in the …

There are several supervised machine learning methods used for the application of
automated morphological classification of galaxies; however, there has not yet been a clear …

We present in this paper one of the largest galaxy morphological classification catalogues to
date, including over 20 million galaxies, using the Dark Energy Survey (DES) Year 3 data …

Transportation-based metrics for comparing images have long been applied to analyze
images, especially where one can interpret the pixel intensities (or derived quantities) as a …

Vocal communication is a primary communication method of killer and pilot whales, and is
used for transmitting a broad range of messages and information for short and long distance …

We propose several descriptive measures to characterize the arrangements of planetary
masses, periods, and mutual inclinations within exoplanetary systems. These measures are …

Computational scientific discovery is becoming increasingly important in many areas of
science. This chapter reviews the application of computational methods in the formulation of …

ABSTRACT A modified galaxy classification scheme for local galaxies is presented. It builds
upon the Aitken–Jeans nebula sequence, by expanding the Jeans–Hubble tuning fork …

Deep convolutional neural networks (DCNNs) have become the most common solution for
automatic image annotation due to their non-parametric nature, good performance, and their …

From the early stages of Astronomy, the classification of galaxies has been a conundrum
that has left astrophysicists in a situation of quandary. Although, previous methods did a …