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Proceedings of the 4th International Conference on Big Data and Artificial Intelligence Applications (ICBDAIA’25) : Innovative Approaches in Artificial Intelligence and Big Data / edited by Said Tkatek, Youssef Fakhri, Adil El Makrani.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Tkatek, Said.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1724
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Engineering--Data processing.
- Engineering.
- Computational Intelligence.
- Data Engineering.
- Local Subjects:
- Computational Intelligence.
- Data Engineering.
- Physical Description:
- 1 online resource (723 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This book presents innovative research exploring the convergence of Artificial Intelligence, Big Data, and Cybersecurity. It highlights novel methodologies and real-world applications that address technological challenges while opening perspectives for future developments. Proceedings of the 4th International Conference on Big Data and Artificial Intelligence Applications (ICBDAIA’25): Innovative Approaches in Artificial Intelligence and Big Data brings together contributions on predictive modeling, optimization, image processing, NLP, IoT, and secure cloud systems. With its multidisciplinary scope and rigorous review process, it provides both academic depth and practical relevance. Designed for researchers, practitioners, and graduate students, it serves as a valuable resource to inspire innovation and guide the development of next-generation intelligent solutions.
- Contents:
- A Brief Survey of Generative AI for Healthcare Applications
- A Chaotic Image Encryption Scheme Based on a Dynamic Cyclic Shift
- A Data-Driven Personalization Framework Based on AI in Omni-Channel Retail A Case Study from Morocco Nouhaila
- A literature review on OWL-based biomedical ontologies for Clinical Information Management.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-10895-0
- 9783032108951
- OCLC:
- 1570556934
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