Proceedings of the 3rd International Conference on Big Data and Artificial Intelligence Applications (ICBDAIA’24):...

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Said Tkatek Jaime Lloret

Proceedings of the 3rd International Conference on Big Data and Artificial Intelligence Applications (ICBDAIA’24)

Name: Proceedings of the 3rd International Conference on Big Data and Artificial Intelligence Applications (ICBDAIA’24)
Price: 392.41 AUD
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ISBN: 9783032128683

Big Data and Artificial Intelligence Applications

Said Tkatek, Jaime Lloret, Youssef Fakhri , Adil El Makrani

$490.95 $392.41

Paperback

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English

Springer Nature Switzerland AG
17 February 2026

Databases; Artificial intelligence

Series: Lecture Notes in Networks and Systems

This book presents innovative approaches in artificial intelligence, security, and networking, emphasizing their convergence with big data and practical applications. Contributions from leading researchers and practitioners showcase novel methodologies, case studies, and solutions that address key technological challenges while fostering intelligent, secure, and connected systems. The proceedings are organized into four sections: AI applications, security in digital systems, advances in networking, and industrial case studies, offering a coherent and multidisciplinary perspective. With a rigorous peer-review process, the collection delivers high-quality content that balances academic depth with real-world relevance. Designed for researchers, graduate students, and industry professionals, it serves as a valuable reference to inspire innovation, support practical implementation, and guide the development of next-generation secure infrastructures.

Edited by: Said Tkatek, Jaime Lloret, Youssef Fakhri, Adil El Makrani
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783032128683
ISBN 10: 3032128684
Series: Lecture Notes in Networks and Systems
Pages: 296
Publication Date: 17 February 2026
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Paperback
Publisher's Status: Active

A hybrid approach Based on K-Nearest Neighbors Machine Learning and Genetic Algorithm for a Logistic Chain Problem.- A predictive approach based on Artificial Neural Networks for Supply Chain Optimization.- AI in Software Testing: The Asynchronous Evolution of Research and Industry Adoption.- An analytical investigation of network topologies within federated learning architectures.