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Beschreibung
This book brings together peer-reviewed research contributions exploring cutting-edge developments in AI, big data, and blockchain—fields that are transforming industries today. Written by leading experts, the chapters showcase advances in:
- AI methodologies and modelling—including machine learning and deep neural networks
- Big data analytics to uncover hidden patterns and insights
- Blockchain-based data management methods, privacy-preserving architecture and trust-enhancing systems
- Security threat detection, fraud prevention and privacy-preserving applications
With applications ranging from industrial-scale systems to real-world, high-stakes environments, this book serves as an essential resource for:
- Researchers exploring next-generation AI, blockchain and data science approaches
- Practitioners and developers implementing enterprise-scale solutions
- Industry professionals and policy-makers seeking best practices in secure, transparent and accountable computing
This book offers both theoretical depth and applied relevance, making it a valuable reference to guide innovation in data-driven and decentralised systems.
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 04. September 2025 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 341 Gramm |
| Format | Softcover |
| ISBN-13 | 9783032047274 |
| Seiten | 205 |