Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …
resources while enhancing the quality of life. To establish a sustainable urban existence …
[HTML][HTML] Urban traffic flow prediction techniques: A review
B Medina-Salgado, E Sánchez-DelaCruz… - … Informatics and Systems, 2022 - Elsevier
In recent decades, the development of transport infrastructure has had a great development,
although traffic problems continue to spread due to increase due to the increase in the …
although traffic problems continue to spread due to increase due to the increase in the …
Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks
For intelligent transportation systems (ITS), predicting urban traffic crowd flows is of great
importance. However, it is challenging to represent various complex spatial relationships …
importance. However, it is challenging to represent various complex spatial relationships …
Traffic flow prediction models–A review of deep learning techniques
AA Kashyap, S Raviraj, A Devarakonda… - Cogent …, 2022 - Taylor & Francis
Traffic flow prediction is an essential part of the intelligent transport system. This is the
accurate estimation of traffic flow in a given region at a particular interval of time in the future …
accurate estimation of traffic flow in a given region at a particular interval of time in the future …
Enhancing traffic intelligence in smart cities using sustainable deep radial function
AG Ismaeel, J Mary, A Chelliah, J Logeshwaran… - Sustainability, 2023 - mdpi.com
Smart cities have revolutionized urban living by incorporating sophisticated technologies to
optimize various aspects of urban infrastructure, such as transportation systems. Effective …
optimize various aspects of urban infrastructure, such as transportation systems. Effective …
Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction
Traffic flow forecasting is of great importance in intelligent transportation systems for
congestion mitigation and intelligent traffic management. Most of the existing methods …
congestion mitigation and intelligent traffic management. Most of the existing methods …
[PDF][PDF] Disposition of youth in predicting sustainable development goals using the neuro-fuzzy and random forest algorithms
This paper evaluates the inclination of Asian youth regarding the achievement of
Sustainable Development Goals (SDGs). As the young population of a country holds the key …
Sustainable Development Goals (SDGs). As the young population of a country holds the key …
Hybrid deep learning models for traffic prediction in large-scale road networks
Traffic prediction is an important component in Intelligent Transportation Systems (ITSs) for
enabling advanced transportation management and services to address worsening traffic …
enabling advanced transportation management and services to address worsening traffic …
RPConvformer: A novel Transformer-based deep neural networks for traffic flow prediction
Traffic prediction problem is one of the essential tasks of intelligent transportation system
(ITS), alleviating traffic congestion effectively and promoting the intelligent development of …
(ITS), alleviating traffic congestion effectively and promoting the intelligent development of …
Mitigation of black hole attacks using firefly and artificial neural network
Abstract In Mobile Ad hoc Network (MANET), network topology changes as
devices/users/nodes move and nodes can serve as a source, destination, or router for the …
devices/users/nodes move and nodes can serve as a source, destination, or router for the …