A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making
2017
Wireless Communications and Mobile Computing
Preserved Fulltext
Continuous growth of the complex urban networks is significantly challenged by real-time data processing and intelligent decision-making capabilities. ...
Therefore, in this paper, we propose a smart city framework based on Big Data analytics. ...
In this study, we conceptually proposed the threefold smart city architecture for real-time decision-making. ...
doi:10.1155/2017/9429676
fatcat:pcuva5dy4vaonjkwprdbuomkym
Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
for efficient resource allocation in dynamic vehicular and smart city environments. ...
For each service request in a cluster, the EC decides which FN to execute the task, i.e., locally serve the request at the edge, or to reject the task and refer it to the cloud. ...
We partition the time into very small time steps t = 1, 2, ..., and assume a high-rate sequential arrival of IoV and smart city service requests, one task at a time step. ...
arXiv:2010.09916v1
fatcat:iufjjx3pq5ev5hwufzxitudfzm
Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics
2018
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Three tiers of the proposed architecture are liable for data aggregation, real-time data management, and service provisioning. ...
By analyzing authenticated datasets, we obtained the threshold values required for urban planning and city operation management. ...
Escalated processing time hinders real-time operation of the smart city, due to diminished decision-making capability. ...
doi:10.3390/s18092994
pmid:30205499
pmcid:PMC6164728
fatcat:gkuay5c6qrahfihcsawvrtk66i
Influence of the Motor Transport on Sustainable Development of Smart Cities
[chapter]
2017
Sustainable Cities - Authenticity, Ambition and Dream [Working Title]
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The benefits of using smart transport in all fields of activities as well as intellectualization of the decision-making process by the example of the automotive industry enterprises are presented in this ...
The transport system is one of the fundamental intelligent systems in the Smart City, and one of the main directions to ensure sustainability and safety of the city transport system is the concept of smart ...
of information and make appropriate decisions. ...
doi:10.5772/intechopen.71045
fatcat:o6rlgdr3qfhzzdpreoihqxjvya
Smart shires: The revenge of countrysides
2016
2016 IEEE Symposium on Computers and Communication (ISCC)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2016 pre-print arXiv:1604.07076v1 fatcat:64tduiftrnakhefkdk2yn27p2mOther Versions
These solutions must be viable, cheap an should take into consideration the different nature of countrysides, that cannot afford the deployment of services designed for smart cities. ...
We show that priority-based broadcast schemes over ad-hoc networks can represent an effective communication substrate to be used in a software middleware promoting the creation of applications for smart ...
Rural areas are providers of goods for cities (think at products from the agroindustry, for example) and thus, optimizing services for countrysides would have a positive impact for smart cities [21] . ...
doi:10.1109/iscc.2016.7543827
dblp:conf/iscc/FerrettiD16
fatcat:7hdcsx2zr5dyhnex5jig6hlawy
A City-Wide Real-Time Traffic Management System: Enabling Crowdsensing in Social Internet of Vehicles
2018
IEEE Communications Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper, we present a machine learning assisted network management framework for IoT in smart cities. ...
This intelligent framework seamlessly integrates machine learning with sensing and communication, information fusion, and decision making in the city network architecture. ...
Machine learning techniques allow us to gain insight from large amount of data to support real-time monitoring, autonomous control, decision-making, and long-term urban planning for smart cities. ...
doi:10.1109/mcom.2018.1701065
fatcat:cr4obkbrznbhxgsnwzjpci33bq
Role of 5G internet in smart city applications using IOT and AI/ML
2024
International journal of advanced networking and applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
Through comprehensive analysis and case studies, we highlight the profound impact of 5G on IoT in areas such as healthcare, smart cities, agriculture, and industrial automation. ...
We examine how 5G's enhanced capabilities have amended the perspective of IoT ,AI/ML applications by enabling real-time data processing, remote control, and seamless integration across industries. ...
Smart cities leverage 5G-enabled IoT for traffic management, waste management, and public services optimization. ...
doi:10.35444/ijana.2024.15421
fatcat:gttsao32xjbr7ks4s4okhqiotq
Edge Offloading in Smart Grid
[article]
2024
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
Finally, the work contributes to a comprehensive understanding of the edge offloading in smart grid, providing a SWOT analysis to support decision making. ...
In this paper, we delve into smart grid and computational distribution architec-tures, including edge-fog-cloud models, orchestration architecture, and serverless computing, and analyze the decision-making ...
This is important for applications that require real-time or near-real-time processing, like some of the time-critical energy management services of the smart grid. ...
arXiv:2402.01664v1
fatcat:xvq4v5t6hrgrbpeupvh2j3ikly
Digital Twins for Ports: Derived from Smart City and Supply Chain Twinning Experience
[article]
2023
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
Other Versions
These include situational awareness, comprehensive data analytics capabilities for intelligent decision making, and the provision of an interface to promote multi-stakeholder governance and collaboration ...
It turns out that the digital twin of the port is most comparable to complex systems such as smart cities and supply chains, both in terms of its functional relevance as well as in terms of its requirements ...
A sustainable urban ecological environment Digital twin cities can help city managers and experts to: 1) evaluate and optimize ecological features; 2) make a comprehensive diagnosis of various carbon emission ...
arXiv:2301.10224v2
fatcat:kztotf4ezrf6bbqfpa6rftuuce
Computational Viability of Fog Methodologies in IoT Enabled Smart City Architectures-A Smart Grid Case Study
2018
EAI Endorsed Transactions on Smart Cities
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
of real-time and latency free services. ...
The gradual evolution in the Information Communication Technology (ICT) support of Smart City (SC) architecture leveraged with meshes of Internet of Things (IoT) creates and welcomes research and investment ...
real-time decision making, etc [26] . ...
doi:10.4108/eai.12-2-2018.154104
fatcat:bodmgugpy5flfkdoygrq2moqc4
Machine learning for internet of things data analysis: a survey
2018
Digital Communications and Networks
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Other Versions
A use case of applying Support Vector Machine (SVM) on Aarhus Smart City traffic data is presented for a more detailed exploration. ...
This article assesses the different machine learning methods that deal with the challenges in IoT data by considering smart cities as the main use case. ...
Ajit Joakar for their comments on the draft of the paper. We also thank Dr. Alireza Ahrabian and Utkarshani Jiamini for reviewing our paper. ...
doi:10.1016/j.dcan.2017.10.002
fatcat:blmg3fed4rajrnsksixvg2afty
Routing Drones in Smart Cities: a Biased-Randomized Algorithm for Solving the Team Orienteering Problem in Real Time
2020
Transportation Research Procedia
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The concepts of unmanned aerial vehicles and self-driving vehicles are gaining relevance inside the smart city environment. ...
When some unexpected events occur in the city (e.g., after a traffic accident, a natural disaster, or a terrorist attack), coordination among vehicles might need to be done in real-time. ...
Acknowledgements This work has been partially supported by the SmartTransLog@EU Erasmus+ Consortium (2018-1-ES01-KA103-049767), and the Catalan Agency for Management of University and Research Grants ( ...
doi:10.1016/j.trpro.2020.03.095
fatcat:jc7lwlcksjbzfaqbddyrtfhrr4
Data Analytics in the Internet of Things: A Survey
2019
Scalable Computing : Practice and Experience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Data collected from these sensors can be used to comprehend, examine and control intricate environments around us, facilitating greater intelligence, smarter decision-making, and better performance. ...
The plethora of sensors deployed in Internet of Things (IoT) environments generate unprecedented volumes of data, thereby creating a data deluge. ...
Expensive
Requires
manual
optimization
Smart Building system
[166]
Cloud based data an-
alytics for smart cities
[167], etc. ...
doi:10.12694/scpe.v20i4.1562
fatcat:y2fiya3q2bawhdg6hhczfpdbee
Traffic Pattern Classification in Smart Cities Using Deep Recurrent Neural Network
2023
Sustainability
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2024 pre-print arXiv:2401.13794v1 fatcat:qlxmcu4mmjcotndstkfnl5m3lu
Furthermore, we provide an in-depth analysis of the results and discuss the implications of the proposed model for smart cities. ...
This paper examines the use of deep recurrent neural networks to classify traffic patterns in smart cities. ...
for improved governance and decision-making in smart cities. ...
doi:10.3390/su151914522
fatcat:dictsaothrcqfnojjm57zcz47y
How Should the Structure of Smart Cities Change to Predict and Overcome a Pandemic?
2022
Sustainability
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Additionally, smart city services could respond neither timely nor sequentially. ...
This study proposed a method for timely and sequential responses, through a flexible combination of the healthcare system and smart city services by envisioning a scenario that sequentially grafts the ...
However, the smart city service structure does not follow a time series, which makes it difficult to combine individual services for creating a new one. ...
doi:10.3390/su14052981
fatcat:spljgxxn3zfjrf3z63qs2t2igy
« Previous
Showing results 1 — 15 out of 11,321 results