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Explainable AI for Communications and Networking: Toward Responsible Automation
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Explainable AI for Communications and Networking: Toward Responsible Automation
Explainable AI for Communications and Networking: Toward Responsible Automation gives a tour into the realm of Explainable Artificial Intelligence (XAI) and its impact on transparent and autonomous communication networks. The book equips readers from diverse backgrounds in communications and networking with a variety of XAI tools, metrics and frameworks to demystify AI systems through graphical taxonomies and mathematical formulations, which are further enriched with code snippets. The book also examines XAI implementation in wireless communications, network management, generative AI for telecom and cybersecurity, before presenting practical use-cases emanating from an industry perspective.
Finally, the regulatory, ethical, and legal implications of XAI in telecommunications are reviewed, before concluding with key challenges and takeaways.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2025年5月30日 |
| ISBN13 | 9780443291357 |
| 出版社 | Elsevier Science Publishing Co Inc |
| ページ数 | 252 |
| 寸法 | 150 × 220 × 10 mm · 317 g |
| 編集者 | Chergui, Hatim, PhD (i2CAT Foundation, Barcelona, Spain) |
| 編集者 | Erol-Kantarci, Melike (University of Ottawa, Canada) |
| 編集者 | Verikoukis, Christos (I.S.I. - Industrial Systems Institute, Greece) |
