Knowledge Graph and Semantic Web Technology based XAI

個数：

Knowledge Graph and Semantic Web Technology based XAI

  • 在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
    通常6～9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
    【重要ご説明事項】
    1. 納期遅延や、ご入手不能となる場合がございます。
    2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版／ページ数 230 p.
  • 言語 ENG
  • 商品コード 9781032624525
  • DDC分類 006.3

Full Description

The transformative impact of emerging technologies such as AI, blockchain, and machine learning on industries and societies, particularly in Africa, can drive sustainable development, improve governance, and address global challenges like climate change, economic inequality, and data privacy. Knowledge Graph and Semantic Web Technology based XAI offers readers a comprehensive study of these developments. Through real-world examples and practical insights, it demonstrates how AI and blockchain can solve pressing issues in such sectors as education, agriculture, and finance. This book emphasizes the potential of these technologies in fostering economic growth, improving transparency, and advancing social development in Africa.

Explores AI, blockchain, and machine learning in the context of Africa's development
Highlights the role of emerging technologies in addressing global challenges
Discusses the applications of these technologies in various sectors
Provides practical examples and real‑world insights
Examines the risks, including cybersecurity and data privacy
Offers a balanced combination of technical depth and accessibility

Knowledge Graph and Semantic Web Technology based XAI is for scholars, professionals, and policymakers interested in the role of emerging technologies in sustainable development, especially in Africa.

Contents

1. Integration of Deep Learning - based AI Model with Explainable AI (XAI) 2. Unlocking the Potential of Knowledge Graphs through Completion Techniques 3. Symbolic System, Neural Network and Semantic Web Technology Integration for Deep Learning 4. Mathematical Tools for Knowledge Representation 5. Cognitive Computational Systems Integrating Machine Learning and Automated Reasoning 6. Symbolic Knowledge Representation by ANN 7. Knowledge Representation for Human and Machine-Centric Explanations 8. Explainable AI: Bridging the Gap between Complexity and Interpretability 9. Interpretability, Transparency Assessment of AI Systems 10. Addressing Trustworthiness and Explainability Using Knowledge Graph 11. The Power of Automation: Exploring Robotic Process the Journey from Automation Theory to Implementation 12. Explainable Artificial Intelligence with Open Source Software 13. Knowledge Graph and Semantic Web Technology-based XAI Application of XAI in Different Domains 14. Developing Brain-Driven Systems Using Medical Image-Based Cognitive Intelligence and Machine Learning-Reasoning