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 …
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 …
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 …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
Rib segmentation algorithm for X-ray image based on unpaired sample augmentation and multi-scale network
H Wang, D Zhang, S Ding, Z Gao, J Feng… - Neural Computing and …, 2021 - Springer
Rib segmentation based on chest X-ray images is essential in the computer-aided diagnosis
systems of lung cancer, which serves as an important step in the quantitative analysis of …
systems of lung cancer, which serves as an important step in the quantitative analysis of …
[HTML][HTML] 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 …
PotSpot: Participatory sensing based monitoring system for pothole detection using deep learning
Proper maintenance of roads is an extremely complex task and also an important issue all
over the world. One of the most critical road monitoring and maintenance activities is the …
over the world. One of the most critical road monitoring and maintenance activities is the …
[HTML][HTML] Deep learning empowered COVID-19 diagnosis using chest CT scan images for collaborative edge-cloud computing platform
VK Singh, MH Kolekar - Multimedia Tools and Applications, 2022 - Springer
The novel coronavirus outbreak has spread worldwide, causing respiratory infections in
humans, leading to a huge global pandemic COVID-19. According to World Health …
humans, leading to a huge global pandemic COVID-19. According to World Health …
[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 …