Networks and Sustainability: Smart Grid, Data Science, and Smart Applications
暫譯: 網路與永續性：智慧電網、數據科學與智慧應用
Luntovskyy, Andriy, Klymash, Mikhailo, Melnyk, Igor
- 出版商: Springer
- 出版日期: 2025-10-02
- 售價: $9,780
- 貴賓價: 9.5 折 $9,291
- 語言: 英文
- 頁數: 818
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032022711
- ISBN-13: 9783032022714
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相關分類:
大數據 Big-data、Machine Learning、Maker
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book explores advanced networking topics, building on previous Springer books like "Intent-based Networking" (2022), "Emerging Networking in the Digital Transformation Age" (2023), and "Digital Ecosystems" (2024). It merges network technologies with sustainable development, energy efficiency, AI, and smart apps. Topics include LLMs, ML, large-scale distributed networks' QoS, IoT with cloud and fog ecosystems, smart grids, and robotics. It emphasizes the synergy of smart apps, AI, and computational intelligence. The book shows how advanced networks support sustainability, energy efficiency, and inclusiveness focusing on data science, cybersecurity, user intentions, and cost reduction addressing key aspects like reliability, privacy, inclusiveness, and accessibility. Suitable for students, professors, and lecturers in networking, distributed systems, cybersecurity, data science, and AI, it also serves as a research base and source of inspiration for professionals seeking new challenges.
商品描述(中文翻譯)
本書探討進階網路主題，基於之前的Springer書籍，如《以意圖為基礎的網路》（Intent-based Networking，2022年）、《數位轉型時代的新興網路》（Emerging Networking in the Digital Transformation Age，2023年）和《數位生態系統》（Digital Ecosystems，2024年）。本書將網路技術與可持續發展、能源效率、人工智慧（AI）和智慧應用程式結合在一起。主題包括大型語言模型（LLMs）、機器學習（ML）、大規模分散式網路的服務品質（QoS）、結合雲端和邊緣生態系統的物聯網（IoT）、智慧電網和機器人技術。它強調智慧應用程式、AI和計算智能之間的協同作用。本書展示了進階網路如何支持可持續性、能源效率和包容性，重點關注數據科學、網路安全、用戶意圖和成本降低，並針對可靠性、隱私、包容性和可及性等關鍵方面進行探討。本書適合網路、分散式系統、網路安全、數據科學和AI領域的學生、教授和講師，同時也為尋求新挑戰的專業人士提供研究基礎和靈感來源。
