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Titlebook: Smart Cities: A Data Analytics Perspective; Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Book 2021 The Editor(s) (if applicable) and

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发表于 2025-3-21 16:24:10 | 显示全部楼层 |阅读模式
书目名称Smart Cities: A Data Analytics Perspective
编辑Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez
视频video
概述Focuses on the interplay role between Smart Cities and IoT technology from architecture and infrastructure perspective that includes theories, methodologies, techniques, and tools, in practice.Present
丛书名称Lecture Notes in Intelligent Transportation and Infrastructure
图书封面Titlebook: Smart Cities: A Data Analytics Perspective; Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Book 2021 The Editor(s) (if applicable) and
描述.This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms.  There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts,
出版日期Book 2021
关键词Smart Cities; Data Management in Smart Cities; Data Analytics Smart Cities; Sensor Network; Smart Enviro
版次1
doihttps://doi.org/10.1007/978-3-030-60922-1
isbn_softcover978-3-030-60924-5
isbn_ebook978-3-030-60922-1Series ISSN 2523-3440 Series E-ISSN 2523-3459
issn_series 2523-3440
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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A Context Aware Big Data Analytics Service-Centric Process Modeling Approachs. The process model will be much flexible that can handle the dynamic behavior of a process-based data analytic environment by controlling the execution of processes. Here, we also provide a framework to support our technique to design the context-aware process model and provide some examples for d
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Clustering Techniques for Smart Cities: An Artificial Intelligence Perspective. Clustering is a prominent technique used to solve the scalability problems and provide a robust operational network in highly dynamic environments such as IoT-based smart systems. Recently, artificial intelligence and machine learning have been exploited to revolutionize the way clustering is perf
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Smart Transportation: A Reference Architecture for Big Data Analyticspay special attention to analytics capabilities over large volumes of data. This chapter presents a RA to address the challenges of big data analysis in STS, including architectural patterns and tactics. We use three case studies in accident analysis, real-time delay prediction, and mobility to illu
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Designing for Urban Mobility: The Role of Digital Media Applications in Increasing Efficiency of Intive network-based features and capabilities such as interactivity and real-time response enable users to plan for smoother journeys to destinations, suggesting that urban mobility is increasingly dependent on technological solutions to provide services accessible to all. Other emerging smart cities
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Validation Frameworks for Self-Driving Vehicles: A Surveyng vehicles encounter all possible scenarios, several millions of hours of testing must be carried out; therefore, testing self-driving vehicles in the real world is impractical. There is also the issue that testing self-driving vehicles directly in the traffic poses a potential safety hazard to hum
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Big Data for Smart Cities: A Case Study of NEOM City, Saudi Arabiahe most recent technologies with great potential to improve smart city facilities. Big data is a huge amount of data collected from different sensors, smart objects or smart devices connected with the Internet of Things (IoT). Smart cities allow regional officials to communicate directly to both soc
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