相關主題
商品描述
This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by smart infrastructures. Smart infrastructures gather Terabytes of data nowadays with no need for traditional control. The data automatically uploads to the cloud computing platform. The cloud analyses the data and generates the required output in visualization, graph, and action. A remote access network can be constructed dependent on either low-elevation or high-altitude stages. When associated with satellite and earthly frameworks, these stages empower a far-reaching access network with worldwide inclusion and diverse administration provisioning. Data analytics are used in agriculture, mining, waste management, energy, and military defenses. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT and smart infrastructures applications. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for smart and sustainable infrastructure-related devices.
商品描述(中文翻譯)
本書匯集了近期在新興人工智慧（AI）方法方面的研究成果，這些方法用於處理和儲存由智慧基礎設施所產生的數據。如今，智慧基礎設施能夠收集數TB的數據，無需傳統的控制方式。這些數據會自動上傳至雲端計算平台，雲端會分析數據並生成所需的輸出，包括視覺化、圖表和行動。可以根據低海拔或高海拔階段構建遠程訪問網絡。當與衛星和地面系統相結合時，這些階段能夠實現全球覆蓋的廣泛訪問網絡和多樣化的服務供應。數據分析被應用於農業、採礦、廢物管理、能源和軍事防禦等領域。本書涵蓋的主要主題包括未來物聯網（IoT）和智慧基礎設施應用中AI驅動機制的分析與發展。此外，本書還探討了新的技術發展、當前的研究趨勢和行業需求。通過呈現案例研究、經驗和評估報告以及在物聯網網絡中利用AI應用的最佳實踐，本書在理論與實踐問題之間取得了良好的平衡。它還提供了有關AI技術各個方面的技術/科學信息，涵蓋從基本概念到研究級材料的內容，包括未來的發展方向。本書旨在為參與智慧和可持續基礎設施相關設備的協議和AI應用設計與開發的研究人員、實務工作者、工程師和科學家提供參考。
作者簡介
Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen's University, Canada, in 2011. He is the "advisor to the chairman of the board of trustees on AI and informatics" at Near East University (NEU), and the "associate dean for research" at the faculty of engineering in the same university. Prof. Al-Turjman is the head of Artificial Intelligence (AI), Information Systems, and Software Engineering Departments, and the director for the AI and Robotics Institute and the International Research Center for AI and IoT at NEU. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks' architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 600 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 80 books about AI, cognition, security, and wireless sensor networks' deployments in smart IoT environments, which have been published by well-reputed publishers.
作者簡介(中文翻譯)
法迪·阿爾圖爾詹教授於2011年在加拿大女王大學獲得計算機科學博士學位。他是近東大學（NEU）董事會主席的人工智慧與資訊學顧問，以及該大學工程學院的研究副院長。阿爾圖爾詹教授是人工智慧（AI）、資訊系統和軟體工程系的系主任，同時也是NEU人工智慧與機器人研究所及國際人工智慧與物聯網研究中心的主任。阿爾圖爾詹教授在智慧/智能物聯網系統、無線和行動網路的架構、協議、部署及在物聯網人工智慧（AIoT）中的性能評估方面是領域內的權威。他的出版歷史涵蓋超過600篇SCI/E論文，並在多個重要場合發表了許多主題演講和全體會議演講。他已撰寫和編輯超過80本有關人工智慧、認知、安全性及無線感測器網路在智慧物聯網環境中部署的書籍，這些書籍均由知名出版社出版。
