-------- Forwarded Message --------
Dear Colleagues/Friends/Students/Fellows,
Please find a Call for Chapters below. The deadline is short. We
are
looking for a few more high-quality chapters to be added to this
book's
current content. The deadline for submission of proposal is: *05th
October,
2021.* Those who have got their proposals accepted or chapters
submitted
may ignore this and encourage others to contribute only
high-quality
chapters.
Regards,
M. LAHBY
Editor
============================================================
*Call for Book Chapters (Free publication)*
*Edited Book: Computational Intelligence Techniques For Green
Smart Cities*
*Publication in "Green Energy and Technology", by Springer and
indexed by
(Scopus)*
*Call for Chapters Website: **Call for Chapters Link
<https://sites.google.com/view/citgreensmartcitiesbook/home-page?authuser=0>*
*Submission link: Submission link
<https://easychair.org/my/conference?conf=citgsc2021>*
*Chapter Submission Deadline: October 05th, 2021 *
-----------------------------------------------------------------------------
Editors of the Springer Book "*Computational Intelligence
Techniques
for Green Cities*" invites submissions containing Original, High
Quality Ideas that are relevant to the SCOPE OF THE BOOK.
*Topics of Interest:*
This book targets a mixed audience of researchers, academics and
professionals from different communities to share and exchange new
ideas,
approaches, theories and practices to resolve the challenging
issues
associated with the leveraging of computational intelligence
techniques for
green cities. Therefore, the suggested topics of interest for this
book
include, but are not limited to:
The tentative structure of the book is mentioned below:
*PART 1: Green Smart Education*
Chapter 1. Machine learning for green smart education
Chapter 2. Deep learning for green smart education
Chapter 3. Evolutionary algorithms for green smart education
Chapter 4. Green Smart learning solutions for combating Covid-19
*PART 2: Green Smart Health*
Chapter 5. Machine learning for green smart health
Chapter 6. Deep learning for green smart health
Chapter 7. Evolutionary algorithms for green smart health
Chapter 8. Green Smart health solutions for combating Covid-19
*PART 3: Green Smart transportation*
Chapter 9. Machine learning for green smart transportation
Chapter 10. Deep learning for green smart transportation
Chapter 11. Evolutionary algorithms for green smart transportation
Chapter 12. Green Smart transportation solutions for combating
Covid-19
*PART 4: Green Smart Environment*
Chapter 13. Machine learning for green smart environment
Chapter 14. Deep learning for green smart environment
Chapter 15. Evolutionary algorithms for green smart environment
Chapter 16. Green Smart environment solutions for combating
Covid-19
*PART 5: Green Smart Home*
Chapter 17. Machine learning for green smart home
Chapter 18. Deep learning for green smart home
Chapter 19. Evolutionary algorithms for green smart home
Chapter 20. Green Smart home solutions for combating Covid-19
*Submission Procedure:*
Authors are invited to submit their full chapters by *October 05,
2021.* Manuscripts
submitted for the book must be original, must not be previously
published
or currently under review anywhere. Submitted manuscripts should
respect
the standard guidelines of the Springer book chapter format.
Manuscripts
must be prepared using Latex, or Word, and according to the
Springer
requirements that can be downloaded from the (link) and the
Chapter should
contain in between 15-24 pages. Manuscripts that do not follow the
formatting rules will be rejected without review. Prospective
authors
should send their manuscripts electronically through the easychair
submission system as mentioned below:
*Submission Link:*
https://easychair.org/my/conference?conf=citgsc2021
<https://www.google.com/url?q=https%3A%2F%2Feasychair.org%2Fmy%2Fconference%3Fconf%3Dcitgsc2021&sa=D&sntz=1&usg=AFQjCNGGAUc2tPFBGZO9KHuxrsHd5kC-sw>
*NB: *There are no submission or acceptance fees for manuscripts
submitted
to this book publication. All manuscripts are accepted based on a
double-blind peer review editorial process.
Contact:
For questions regarding the book, please contact the Lead volume
editor:
Mohamed Lahby:
lahby@ieee.org
We look forward to hearing from you.
_______________________________________________
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