Intelligent Data Engineering and Automated Learning IDEAL 2023 is popular PDF and ePub book, written by Paulo Quaresma in 2023-12-16, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Intelligent Data Engineering and Automated Learning IDEAL 2023 can be Read Online from any device for your convenience.
Intelligent Data Engineering and Automated Learning IDEAL 2023 Book PDF Summary
This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22–24, 2023. The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI. The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.
Detail Book of Intelligent Data Engineering and Automated Learning IDEAL 2023 PDF
- Author : Paulo Quaresma
- Release : 16 December 2023
- Publisher : Springer Nature
- ISBN : 9783031482328
- Genre : Computers
- Total Page : 561 pages
- Language : English
- PDF File Size : 13,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Intelligent Data Engineering and Automated Learning IDEAL 2023 by Paulo Quaresma, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.