探索人工智能和物联网对智慧城市管理的多方面影响

Kazi Nafisa, Anjum, Md Azad, Hossain Raju, Monowar Hossain Saikat, ✉. Sonjoy, Paul Avi, Kazi Toriqul Islam, Rhine Hoque, Touhid Imam, Monowar Hossain, Saikat
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引用次数: 0

摘要

随着人工智能(AI)与物联网(IoT)的融合,城市正经历着向可持续发展的智能实体演进的重大转变。本研究对 2014 年至 2021 年间发表的 133 篇论文进行了系统研究,这些论文主要来自 Scopus(90%)和 WoS(70%)。分析重点关注医疗保健、教育、环境、废物管理、移动性、农业、风险管理和安全等关键智慧城市领域,探讨人工智能的应用。随着城市越来越多地将人工智能用于运营自动化、数据驱动决策和环境改善,监管方面的挑战也随之浮出水面,其中包括与隐私、服务提供歧视和道德考虑有关的问题。研究强调了采用人工智能的影响,尤其是在 2019 年全球健康危机之后的医疗保健领域,并强调了人工智能算法(包括 ANN、RNN/LSTM、CNN/R-CNN、DNN 和 SVM/LS-SVM)在塑造城市发展轨迹方面的关键作用。这项研究深入探讨了人工智能在智慧城市中的多方面影响,全面概述了这些技术在不同城市领域的优势、挑战和变革潜力。
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Exploring the Multifaceted Impact of Artificial Intelligence and the Internet of Things on Smart City Management
The evolution of cities into sustainable and intelligent entities is undergoing a significant transformation with the integration of Artificial Intelligence (AI) and the Internet of Things (IoT). This study systematically examines 133 papers published between 2014 and 2021, predominantly sourced from Scopus (90%) and WoS (70%). Focusing on key smart city domains such as healthcare, education, environment, waste management, mobility, agriculture, risk management, and security, the analysis explores the applications of AI. As cities increasingly embrace AI for operational automation, data-driven decision-making, and environmental improvements, regulatory challenges surface, spanning concerns related to privacy, service delivery discrimination, and ethical considerations. The impact of AI adoption, especially in healthcare following the 2019 global health crisis, is underscored, emphasizing the pivotal role of AI algorithms, including ANN, RNN/LSTM, CNN/R-CNN, DNN, and SVM/LS-SVM, in shaping urban development trajectories. This research provides insights into the multifaceted implications of AI in smart cities, offering a comprehensive overview of the benefits, challenges, and transformative potential of these technologies across diverse urban sectors.
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