Scholarlink

<p class="MsoNormal"><span lang="EN-GB" style="font-family: Aptos; color: black; mso-ansi-language: EN-GB;">This book brings together <em>peer-reviewed research contributions</em> 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:</span></p><ul style="margin-top: 0cm;" type="disc"><li class="MsoNormal" style="color: black; mso-list: l1 level1 lfo1; tab-stops: list 36.0pt;"><span lang="EN-GB" style="font-family: Aptos; mso-ansi-language: EN-GB;">AI methodologies and modelling—including machine learning and deep neural networks</span></li><li class="MsoNormal" style="color: black; mso-list: l1 level1 lfo1; tab-stops: list 36.0pt;"><span lang="EN-GB" style="font-family: Aptos; mso-ansi-language: EN-GB;">Big data analytics to uncover hidden patterns and insights</span></li><li class="MsoNormal" style="color: black; mso-list: l1 level1 lfo1; tab-stops: list 36.0pt;"><span lang="EN-GB" style="font-family: Aptos; mso-ansi-language: EN-GB;">Blockchain-based data management methods, privacy-preserving architecture and trust-enhancing systems</span></li><li class="MsoNormal" style="color: black; mso-list: l1 level1 lfo1; tab-stops: list 36.0pt;"><span lang="EN-GB" style="font-family: Aptos; mso-ansi-language: EN-GB;">Security threat detection, fraud prevention and privacy-preserving applications</span></li></ul><p class="MsoNormal" style="margin-left: 36.0pt;"><span lang="EN-GB" style="font-family: Aptos; color: black; mso-ansi-language: EN-GB;">&#xa0;</span></p><p class="MsoNormal"><span lang="EN-GB" style="font-family: Aptos; color: black; mso-ansi-language: EN-GB;">With applications ranging from industrial-scale systems to real-world, high-stakes environments, this book serves as an essential resource for:</span></p><ul style="margin-top: 0cm;" type="disc"><li class="MsoNormal" style="color: black; mso-list: l0 level1 lfo2; tab-stops: list 36.0pt;"><span lang="EN-GB" style="font-family: Aptos; mso-ansi-language: EN-GB;">Researchers exploring next-generation AI, blockchain and data science approaches</span></li><li class="MsoNormal" style="color: black; mso-list: l0 level1 lfo2; tab-stops: list 36.0pt;"><span lang="EN-GB" style="font-family: Aptos; mso-ansi-language: EN-GB;">Practitioners and developers implementing enterprise-scale solutions</span></li><li class="MsoNormal" style="color: black; mso-list: l0 level1 lfo2; tab-stops: list 36.0pt;"><span lang="EN-GB" style="font-family: Aptos; mso-ansi-language: EN-GB;">Industry professionals and policy-makers seeking best practices in secure, transparent and accountable computing</span></li></ul><p class="MsoNormal"><span lang="EN-GB" style="font-family: Aptos; color: black; mso-ansi-language: EN-GB;">This book offers both theoretical depth and applied relevance, making it a valuable reference to guide innovation in data-driven and decentralised systems.</span></p><p class="MsoNormal"><span lang="EN-GB" style="mso-ansi-language: EN-GB;">&#xa0;</span></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 会议论文集

  • 发表日期：

    2025年

查看全文

摘要

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.