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Titlebook: Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities; Mohd Abdul Ahad,Gabriella Casalino,Bharat Bhushan

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发表于 2025-3-21 16:03:38 | 显示全部楼层 |阅读模式
书目名称Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities
编辑Mohd Abdul Ahad,Gabriella Casalino,Bharat Bhushan
视频video
概述This book provides the basic knowledge about smart cities, its components and challenges in its effective realization.This book sheds light on the know-how about the role of enabling technologies in e
图书封面Titlebook: Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities;  Mohd Abdul Ahad,Gabriella Casalino,Bharat Bhushan
描述With the rapid penetration of technology in varied application domains, the existing cities are getting connected more seamlessly. Cities becomes smart by inducing ICT in the classical city infrastructure for its management. According to McKenzie Report, about 68% of the world population will migrate towards urban settlements in near future. This migration is largely because of the improved Quality of Life (QoL) and livelihood in urban settlements. In the light of urbanization, climate change, democratic flaws, and rising urban welfare expenditures, smart cities have emerged as an important approach for society’s future development. Smart cities have achieved enhanced QoL by giving smart information to people regarding healthcare, transportation, smart parking, smart traffic structure, smart home, smart agronomy, community security etc. Typically, in smart cities data is sensed by the sensor devices and provided to end users for further use. The sensitive data is transferredwith the help of internet creating higher chances for the adversaries to breach the data. Considering the privacy and security as the area of prime focus, this book covers the most prominent security vulnerabili
出版日期Book 2023
关键词Blockchain; IoT; Enabling Technologies; Smart City Management; Deep Learning for Smart Decisions;
版次1
doihttps://doi.org/10.1007/978-3-031-22922-0
isbn_softcover978-3-031-22924-4
isbn_ebook978-3-031-22922-0
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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发表于 2025-3-21 20:58:20 | 显示全部楼层
Citizenship and Gender in Local Activism,acks, GPS Spoofing, etc., which will lead to the disclosure of sensitive information. The smart devices consist of various embedded SoCs (System-On-Chip), which are integrated to sustain a large amount of user data by focusing primarily on avoiding the trade-off between the complexity of the machine
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https://doi.org/10.1007/978-1-137-06573-5 symbiosis. In terms of approach, this SLR employs a detailed analysis of the current state of AI and smart city literature, research, advancements, patterns, and applications. As a result, it adds to ongoing scholarly discussions in the disciplines of smart cities and artificial intelligence. We pe
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https://doi.org/10.1057/9780230106253ediction gave an accuracy of 95.22% which is better compared to other algorithms, while in fertilizer prediction accuracy of 96% is achieved by ANN. The disease prediction model has been created using image datasets of wheat, maize and apple which were leveraged using convolution neural networks res
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Muhammad Aslam,Muhammad Imdad Ullahere will be no one to blame. Using blockchain technology, law enforcement will be able to follow down the perpetrators of these crimes since all timestamps will be saved on our platform. Because of this, smart cities will be less prone to criminal activity in general. We can ensure a more efficient
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Leader Purposefulness and Servant Leadershipes the collaboration of blockchain with IoT for E-healthcare. Further, this paper highlights some popular consensus algorithms used in blockchain in the circumstance of E-health. Finally, this paper examines some use cases of E-healthcare that illustrate how key characteristics of the IoT and blockc
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Kamal Al Yammahi,Vijay Pereira,Yama Temourialyzing sensor data, the device controller uses a traffic management algorithm to set the Wi-Fi module to collect data from traffic signals and transfers it to a cloud server. The proposed system will forecast the likelihood of at the intersection, there is a lot of traffic. If an emergency vehicle
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