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AIMDSO 2024 : Call for Book Chapters: Advanced Intelligence Methods for Data Science and Optimization
AIMDSO 2024 : Call for Book Chapters: Advanced Intelligence Methods for Data Science and Optimization

AIMDSO 2024 : Call for Book Chapters: Advanced Intelligence Methods for Data Science and Optimization

ELSEVIER
Abstract Submission Deadline: October 08, 2023
Submission Deadline: January 15, 2023




Call for Papers

We are pleased to invite you to submit your chapter proposal, which can be selected for inclusion in an upcoming edited book titled "Advanced Intelligence Methods for Data Science and Optimization," scheduled for publication by ELSEVIER in 2024.

The esteemed editors overseeing this publication are:
Prof. Amir H. Gandomi
Prof. Seyedali Mirjalili
Prof. Levente Kovacs

We are actively seeking contributions in the following categories:

Methodology chapters: These should focus on AI-based methodologies, such as machine learning, deep learning, reinforcement learning, fuzzy logic, evolutionary and swarm intelligence, among others.

Application chapters: We encourage submissions that concentrate on applying AI methods for data analytics and optimising challenging real-world problems.

To enhance this significant project's overall quality and impact, we are extending invitations to renowned researchers worldwide. Given your expertise in the field, we believe your participation would greatly contribute to the success of this endeavour. If you are interested and able to participate, please follow these steps:

Submit a tentative title for your chapter along with a brief abstract using this form by 30 September 2023 at https://forms.gle/peXG9aarADsmqR4E7

Complete your full chapter and submit it before January 15, 2024.

We look forward to your valuable contribution to this exciting project. Please do not hesitate to contact us if you have any questions or require further information. Thank you for considering our invitation.


Credits and Sources

[1] AIMDSO 2024 : Call for Book Chapters: Advanced Intelligence Methods for Data Science and Optimization


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