From: mohamed Lahby <email@example.com> To: firstname.lastname@example.org Subject: [Caml-list] [Extended Deadline: Nov. 14th (firm)][Free Springer Book] Call for Direct submission of full chapters: Computational Intelligence Techniques For Green Smart Cities Date: Wed, 6 Oct 2021 20:22:26 +0100 [thread overview] Message-ID: <CAMo8cMpwPBChPsEutEzfDjwHT5NTLnPiin5AWTVXfXh_s2email@example.com> (raw) [-- Attachment #1: Type: text/plain, Size: 4417 bytes --] - Based on many requests, the final deadline is November 14th (FIRM) - We apologize if you receive multiple copies of this CFC. - We appreciate your help to forward this CFC to your friends & email lists. Dear Colleagues/Friends/Fellows, We are pleased to announce to you that we have extended the deadline until * November 14 (firm deadline). *We will include some high-quality chapters from direct submissions (of full chapters) to the following book. Regards, M. LAHBY Editorial ============================================================ *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 Extended Deadline: November 14th, 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: firstname.lastname@example.org We look forward to hearing from you. [-- Attachment #2: Type: text/html, Size: 15106 bytes --]
next reply other threads:[~2021-10-06 19:22 UTC|newest] Thread overview: 2+ messages / expand[flat|nested] mbox.gz Atom feed top 2021-10-06 19:22 mohamed Lahby [this message] 2021-10-19 12:20 mohamed Lahby
Reply instructions: You may reply publicly to this message via plain-text email using any one of the following methods: * Save the following mbox file, import it into your mail client, and reply-to-all from there: mbox Avoid top-posting and favor interleaved quoting: https://en.wikipedia.org/wiki/Posting_style#Interleaved_style * Reply using the --to, --cc, and --in-reply-to switches of git-send-email(1): git send-email \ --in-reply-to=CAMo8cMpwPBChPsEutEzfDjwHT5NTLnPiin5AWTVXfXh_s2email@example.com \ --firstname.lastname@example.org \ --email@example.com \ --subject='Re: [Caml-list] [Extended Deadline: Nov. 14th (firm)][Free Springer Book] Call for Direct submission of full chapters: Computational Intelligence Techniques For Green Smart Cities' \ /path/to/YOUR_REPLY https://kernel.org/pub/software/scm/git/docs/git-send-email.html * If your mail client supports setting the In-Reply-To header via mailto: links, try the mailto: link
This is a public inbox, see mirroring instructions for how to clone and mirror all data and code used for this inbox; as well as URLs for NNTP newsgroup(s).