Publication: book series: Studies in Computational Intelligence by Springer (Confirmed)
Link: https://www.springer.com/series/7092
- Rank: “Studies in Computational Intelligence” has a CiteScore: 1.5, and h-index: 68 in Scopus.
- Publication charges: The publication is free of charge.
Important Dates:
- Deadline for paper submission: February 01, 2022
- First round notification: 1 month from the date of submission
- Camera-ready submission: March 15, 2022
- Publication date: Between June and August 2022
Volume Editors:
Dr. Mostafa Al-Emran, The British University in Dubai, Dubai, UAE.
Prof. Khaled Shaalan, The British University in Dubai, Dubai, UAE.
Introduction:
The domain of Artificial Intelligence and its Smart Applications has extremely evolved during the last decade. Several practical and theoretical findings are growing enormously due to the increasing number of successful applications and new theories derived from numerous diverse issues. The main purpose of the “Recent Innovations in Artificial Intelligence and Smart Applications” edited book is to bring scientists, researchers, practitioners, and students from academia and industry to highlight the recent research trends and innovations in Artificial Intelligence applications. The book chapters aim to provide a collection of high-quality research studies and reviews that address broad challenges, constraints, and opportunities in both theoretical and application aspects across different domains. The following is a non-exhaustive list of topics covered by the book:
· Artificial intelligence.
· Machine Learning.
· Deep Learning.
· Internet of Things (IoT).
· Blockchain Technology.
· Expert Systems.
· Cybersecurity.
· Knowledge Management.
· Computational Linguistics.
· Decision Theory.
How to Submit:
- The length of the book chapter should be between 15 to 20 pages (including references).
- The authors should submit their manuscripts in PDF electronically to the email Address: [email protected] with the subject, “Book Chapter Submission”.
- Plagiarism should be avoided at all. The maximum similarity score should not exceed 20%.
