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Emerging perspectives on the application of recommender systems in smart cities
G Andrade-Ruiz, RA Carrasco, C Porcel… - Electronics, 2024 - mdpi.com
Smart cities represent the convergence of information and communication technologies
(ICT) with urban management to improve the quality of life of city dwellers. In this context …
(ICT) with urban management to improve the quality of life of city dwellers. In this context …
A review of service selection strategies in mobile IoT networks
With the proliferation of service-oriented architectures, the ubiquity of mobile networks, and
an expanding spectrum of services available to users, the service selection process has …
an expanding spectrum of services available to users, the service selection process has …
[HTML][HTML] Smart services in smart cities: Insights from science map** analysis
Against the backdrop of the expanding debate on smart cities, the objective of this paper is
to examine to what extent and to what end the connection between smart services and smart …
to examine to what extent and to what end the connection between smart services and smart …
[HTML][HTML] Deep transfer learning enabled intelligent object detection for crowd density analysis on video surveillance systems
Object detection is a computer vision based technique which is used to detect instances of
semantic objects of a particular class in digital images and videos. Crowd density analysis is …
semantic objects of a particular class in digital images and videos. Crowd density analysis is …
A user-priorities-based strategy for three-phase intelligent recommendation and negotiating agents for cloud services
As the field of information technology expands, there is a huge need for cloud service
providers (CSP). CSP's vast solutions and services support Cloud, IoT, Fog, and Edge …
providers (CSP). CSP's vast solutions and services support Cloud, IoT, Fog, and Edge …
A Bibliometric Analysis of Autonomic Cloud Computing
Autonomic computing is the most useful technology which is utilized in many engineering
domains to automate operations and to reduce human intervention to avoid delay and …
domains to automate operations and to reduce human intervention to avoid delay and …
[HTML][HTML] Artificial jellyfish optimization with deep-learning-driven decision support system for energy management in smart cities
A smart city is a sustainable and effectual urban center which offers a maximal quality of life
to its inhabitants with the optimal management of their resources. Energy management is the …
to its inhabitants with the optimal management of their resources. Energy management is the …
[PDF][PDF] Intelligent Slime Mould Optimization with Deep Learning Enabled Traffic Prediction in Smart Cities.
Intelligent Transportation System (ITS) is one of the revolutionary technologies in smart cities
that helps in reducing traffic congestion and enhancing traffic quality. With the help of big …
that helps in reducing traffic congestion and enhancing traffic quality. With the help of big …
Skyline-enhanced deep reinforcement learning approach for energy-efficient and QoS-guaranteed multi-cloud service composition
W Ma, H Xu - Applied Sciences, 2023 - mdpi.com
Cloud computing has experienced rapid growth in recent years and has become a critical
computing paradigm. Combining multiple cloud services to satisfy complex user …
computing paradigm. Combining multiple cloud services to satisfy complex user …
Metaheuristics Enabled Clustering with Routing Scheme for Wireless Sensor Networks.
MM Asiri, SS Alotaibi… - Computers …, 2022 - search.ebscohost.com
Abstract Wireless Sensor Network (WSN) is a vital element in Internet of Things (IoT) as the
former enables the collection of huge quantities of data in energy-constrained environment …
former enables the collection of huge quantities of data in energy-constrained environment …