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 the full chapter: *05th October, 2021.* 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 * *Submission link: Submission link * *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 *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.