Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
A Heidari, NJ Navimipour, M Unal - Sustainable Cities and Society, 2022 - Elsevier
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 …
At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …
privacy preservation, edge computing has emerged as the key support for intelligent …
Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction
The prediction of crowd flows is an important urban computing issue whose purpose is to
predict the future number of incoming and outgoing people in regions. Measuring the …
predict the future number of incoming and outgoing people in regions. Measuring the …
The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study
Optimization algorithms are used to improve model accuracy. The optimization process
undergoes multiple cycles until convergence. A variety of optimization strategies have been …
undergoes multiple cycles until convergence. A variety of optimization strategies have been …
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 …
A survey on providing customer and public administration based services using AI: chatbot
A chatbot is emerged as an effective tool to address the user queries in automated, most
appropriate and accurate way. Depending upon the complexity of the subject domain …
appropriate and accurate way. Depending upon the complexity of the subject domain …
ET-NET: an ensemble of transfer learning models for prediction of COVID-19 infection through chest CT-scan images
The COVID-19 virus has caused a worldwide pandemic, affecting numerous individuals and
accounting for more than a million deaths. The countries of the world had to declare …
accounting for more than a million deaths. The countries of the world had to declare …
[PDF][PDF] Metaheuristic Optimization Through Deep Learning Classification of COVID-19 in Chest X-Ray Images.
As corona virus disease (COVID-19) is still an ongoing global outbreak, countries around
the world continue to take precautions and measures to control the spread of the pandemic …
the world continue to take precautions and measures to control the spread of the pandemic …
Deep learning based detection of COVID-19 from chest X-ray images
The whole world is facing a health crisis, that is unique in its kind, due to the COVID-19
pandemic. As the coronavirus continues spreading, researchers are concerned by providing …
pandemic. As the coronavirus continues spreading, researchers are concerned by providing …
Recognizing arabic handwritten characters using deep learning and genetic algorithms
Automated techniques for Arabic content recognition are at a beginning period contrasted
with their partners for the Latin and Chinese contents recognition. There is a bulk of …
with their partners for the Latin and Chinese contents recognition. There is a bulk of …