International Conference on Smart Systems and Emerging Technologies: Edition 2024
暫譯: 2024年智慧系統與新興技術國際會議

Koubaa, Anis, Mnaouer, Adel Ben, Boulila, Wadii

  • 出版商: Springer
  • 出版日期: 2025-08-14
  • 售價: $9,390
  • 貴賓價: 9.5$8,921
  • 語言: 英文
  • 頁數: 482
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031912349
  • ISBN-13: 9783031912344
  • 相關分類: Machine LearningDeepLearningGAN 生成對抗網絡
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book presents a groundbreaking compilation of cutting-edge research at the forefront of innovation, where artificial intelligence, machine learning, and advanced technologies converge to address real-world challenges with realistic solutions. This comprehensive book bridges theory and practice, offering transformative insights across diverse domains--from healthcare and cybersecurity to smart cities and language processing.

Dive into pioneering advancements in Technology such as Arabic text-to-gloss machine translation, transformer-based image captioning, and GAN-enhanced privacy policies for constrained environments. Learn how deep learning revolutionizes cancer detection in medical imaging, optimizes traffic flow prediction, and refines speaker diarization in forensic audio. Immerse into ethical AI discussions, UAV navigation in GPS-denied terrains, and blockchain-secured voting systems, all while uncovering novel approaches to IoT security, cloud computing, and industrial efficiency.

With contributions from leading researchers and practitioners, this book addresses critical topics like AI-driven sentiment analysis for business intelligence, self-supervised graph neural networks, and ethical implications of emerging technologies. Each chapter combines rigorous technical depth with actionable applications, making it an indispensable resource for researchers, engineers, and students eager to harness AI's potential in tackling modern global challenges.

商品描述(中文翻譯)

本書呈現了一部開創性的前沿研究彙編,聚焦於人工智慧、機器學習和先進技術的交匯點,以現實的解決方案應對現實世界的挑戰。這本全面的書籍橋接了理論與實踐,提供了跨越多個領域的變革性見解——從醫療保健和網絡安全到智慧城市和語言處理。

深入探索技術領域的先驅性進展,例如阿拉伯文文本到詞彙的機器翻譯、基於變壓器的圖像標題生成,以及針對受限環境的生成對抗網絡(GAN)增強隱私政策。了解深度學習如何徹底改變醫學影像中的癌症檢測、優化交通流量預測,以及改善法醫音頻中的說話者分離。沉浸於倫理人工智慧的討論、在無GPS地形中的無人機導航,以及區塊鏈保障的投票系統,同時揭示物聯網安全、雲計算和工業效率的新方法。

本書匯集了領先研究者和實踐者的貢獻,探討了關鍵主題,如基於人工智慧的商業智能情感分析、自我監督的圖神經網絡,以及新興技術的倫理影響。每一章結合了嚴謹的技術深度與可行的應用,使其成為研究人員、工程師和渴望利用人工智慧潛力解決現代全球挑戰的學生不可或缺的資源。