Name: The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)
Price: 8522.00 UYU
Availability: InStock
Author: George Ghinea;Sevil Sen;Muhammad Younas;Irfan Awan;Grønli Tor-Morten
ISBN: 9783032047274

portada The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)

The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)

Formato

Libro Físico

Editorial

Springer Nature Switzerland AG

Autor

George Ghinea;Sevil Sen;Muhammad Younas;Irfan Awan;Grønli Tor-Morten

Colección

Lecture Notes in Networks and Systems

Año

2025

N° páginas

205

Encuadernación

Tapa Blanda

Dimensiones

23.50 x 15.50 cm

ISBN13

9783032047274

The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)

George Ghinea;Sevil Sen;Muhammad Younas;Irfan Awan;Grønli Tor-Morten (Autor) · Springer Nature Switzerland AG · Tapa Blanda

Libro Nuevo Importado

Envío: 21 a 27 días háb.

$ 17.044$ 8.522

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 8.522

Llega entre el 26 Ago y el 03 Sep a Montevideo, Montevideo. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)"

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 networksBig data analytics to uncover hidden patterns and insightsBlockchain-based data management methods, privacy-preserving architecture and trust-enhancing systemsSecurity 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 approachesPractitioners and developers implementing enterprise-scale solutionsIndustry professionals and policy-makers seeking best practices in secure, transparent and accountable computingThis book offers both theoretical depth and applied relevance, making it a valuable reference to guide innovation in data-driven and decentralised systems.