Proceedings of the 4th International Conference on Big Data and Artificial Intelligence Applications (ICBDAIA’25)

Innovative Approaches in Artificial Intelligence and Big Data

Said Tkatek, Youssef Fakhri, Adil El Makrani (Herausgeber)

Buch | Softcover

VIII, 488 Seiten

2026
Springer International Publishing (Verlag)
978-3-032-10894-4 (ISBN)

Noch nicht erschienen - erscheint am 14.01.2026
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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.

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.

Erscheinungsdatum	29.11.2025
Reihe/Serie	Lecture Notes in Networks and Systems
Zusatzinfo	VIII, 488 p. 153 illus., 77 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik
Schlagworte	AI • Big Data • Cloud Computing • Computational Intelligence • cybersecurity • ICBDAIA • ICBDAIA'25 • NLP
ISBN-10	3-032-10894-2 / 3032108942
ISBN-13	978-3-032-10894-4 / 9783032108944
Zustand	Neuware