Call for Book Chapters

In

Intelligent Astrophysics

Published in the book series https://www.springer.com/series/10624

Emergence, Complexity and Computation

The book editors:
• Ivan Zelinka, VŠB-TU Ostrava, Czech Republic
• Massimo Brescia, INAF-OACN, Napoli, Italy.
• Dalya Baron, Tel Aviv University, Tel Aviv, Israel

The book Intelligent Astrophysics publishes new developments, advancements and selected topics in the fields of artificial intelligence and related algorithms in the astrophysical data processing.
Astronomy has entered the multi-messenger era with ground-based and space-borne observing facilities producing data streams of unprecedented size and complexity. In the current Big Data analytics scenario, astronomical observations and related data
gathering, reduction and analysis represent one of the clearest examples of data-driven science, where the amount of data collected in a single day is enough to keep occupied an entire community of scientists for the rest of their life. The book focuses on all aspects of reality-based computation approaches from an interdisciplinary point of view in all important areas of astrophysics as the signal processing in the radio astronomy, image processing with machine learning, deep learning applications on various astrophysical tasks, evolutionary computation in classification and modelling of
astrophysical events, archive processing and anomaly detection in live streams from robotic telescopes and more. It presents new ideas and interdisciplinary insight on the mutual intersection of subareas of artificial intelligence and computation and its
impact and limits to many astrophysical problems. Preliminary deadlines (adjustable, please contact organisers if necessary):

Chapter submission: January 31 2020
Notification of acceptance: February 29 2020
Camera-ready submission: March 31 2020
Book production: late spring 2020

Links:
https://drive.google.com/file/d/1lWZbWFJS14Lf628GtRPgs4JUMuYPx1ul/view
link at the bottom of the
https://ivanzelinka.eu/