Duyurular & Dokümanlar

Urgent CFC [Book: Data Science for COVID-19 (Elsevier)]
Duyuru
14.04.2020

CFC
Data Science for COVID-19
(Edited by Utku Kose, Deepak Gupta, Victor Hugo C. de Albuquerque, Ashish Khanna) 
to be published by Elsevier

Because of the urgent situation, we have arranged a fast-track review and publish period so your valuable contribution(s) are all welcome.

Please kindly refer to https://easychair.org/cfp/DS-COVID-19-2020 and the following information for details: 

The main goal of the proposed edited book: ‘Data Science for COVID-19’ is to provide the most recent research and innovative developments regarding the COVID-19. In this context, the book aims to inform the target audience about the latest findings-results regarding a wide variety of Data Science applications for fighting COVID-19.

Submission Guidelines:
All submissions should be done by email to: utkukose@gmail.com and / or deepakgupta@mait.ac.in and / or victor.albuquerque@unifor.br and / or ashishkhanna@mait.ac.in

Please consider the rules here while preparing the full chapter: https://booksite.elsevier.com/brochures/authors/Text/type.htm

All papers must be original and not simultaneously submitted to another book project, journal or conference. The following important dates will be considered for the submissions:
  • Full Paper Submission: 30.04.2020
  • Notification of Accept / Reject: 05.05.2020
  • Final Chapter Due: 10.05.2020
Important: Similarity Rate for the full chapter should be max. 25%. The authors able to get similarity report are suggested to send the similarity reports with other files.  

List of Topics (as not limited to):
  • COVID-19 virus with their essentials as a treat,
  • Image Analysis and Processing for COVID-19,
  • Design of Cognition and Computing for COVID-19,
  • Data Processing for COVID-19,
  • Geoprocessing / Tracking for COVID-19,
  • Diagnosis for COVID-19,
  • Laboratorial Data Analysis for COVID-19,
  • Predictive Systems for COVID-19,
  • Mobile technology solutions for COVID-19,
  • Artificial Intelligence based solutions for COVID-19,
  • Treatment of for COVID-19 with Data Science,
  • Public Safety for COVID-19,
  • Governmental Applications for COVID-19,
  • Data Science Policies for COVID-19,
  • Internet of Health Things (IoHT) for COVID-19,
  • Big Data for COVID-19,
  • New Data Models for COVID-19,
  • ...etc.
It is important that research works with only targeting COVID-19 will be given more emphasis while a few of alternative works giving insights for potential pandemics will be accepted. Also, the contributors will be encouraged to provide also success stories, negative results and experiences / feedback they received from physicians and medical staff.

Editors:
Utku Kose, PhD. (Suleyman Demirel University, Turkey)
Deepak Gupta, PhD. (Maharaja Agrasen Institute of Technology, India)
Victor Hugo C. de Albuquerque (Universidade de Fortaleza, Brazil)
Ashish Khanna, PhD. (Maharaja Agrasen Institute of Technology, India)

Publication:
'Data Science for COVID-19' will be published by Elsevier.

Contact:
All questions about submissions should be e-mailed to: utkukose@gmail.com
Kose_et_al__ElsevierBook_DS-COVID-1....png Creative Commons License