Graph neural network-driven traffic forecasting for the connected internet of vehicles

Q Zhang, K Yu, Z Guo, S Garg… - … on Network Science …, 2021 - ieeexplore.ieee.org
Due to great advances in wireless communication, the connected Internet of vehicles
(CIoVs) has become prevalent. Naturally, internal connections among active vehicles are an …

Deep-distributed-learning-based POI recommendation under mobile-edge networks

Z Guo, K Yu, N Kumar, W Wei… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
With the rapid development of edge intelligence in wireless communication networks,
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …

Deep collaborative intelligence-driven traffic forecasting in green internet of vehicles

Z Guo, K Yu, K Konstantin, S Mumtaz… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Accompanied with the development of green wireless communication, the green Internet of
Vehicles (GIoV) has been a latent solution for future transportation. Among them, intelligent …

A data-driven intelligent planning model for UAVs routing networks in mobile Internet of Things

D Meng, Y Xiao, Z Guo, A Jolfaei, L Qin, X Lu… - Computer …, 2021 - Elsevier
Owing to constant progress of wireless communications, the Unmanned Aerial Vehicles
(UAVs) routing networks (UAVs-RN) under mobile Internet of Things (MIoT) have been …

A Novel Artificial-Intelligence-Based Approach for Classification of Parkinson's Disease Using Complex and Large Vocal Features

R Nijhawan, M Kumar, S Arya, N Mendirtta, S Kumar… - Biomimetics, 2023 - mdpi.com
Parkinson's disease (PD) affects a large proportion of elderly people. Symptoms include
tremors, slow movement, rigid muscles, and trouble speaking. With the aging of the …

The convergence of deep learning and computer vision: smart city applications and research challenges

D Kothadiya, A Chaudhari, R Macwan… - … & Security (ICIIC …, 2021 - atlantis-press.com
In recent years, deep learning strategies started to outshine traditional machine learning
methods in a few fields, with Computer Vision being one of the most noticeable ones. The …

[HTML][HTML] IoT in smart cities: A contemporary survey

RP Janani, K Renuka, A Aruna - Global Transitions Proceedings, 2021 - Elsevier
Smart cities are an important domain that is reaching great heights nowadays. IoT plays an
important role in the implementation of smart cities. The people of the country which contains …

Graph convolutional network‐based deep feature learning for cardiovascular disease recognition from heart sound signals

K Rezaee, MR Khosravi, M Jabari… - … Journal of Intelligent …, 2022 - Wiley Online Library
The high mortality rate and prevalence of cardiovascular disease (CVD) make early
detection of the disease essential. Due to its simplicity and low cost, the phonocardiogram …

Image super-resolution reconstruction for secure data transmission in Internet of Things environment.

H Li, Q Zheng, W Yan, R Tao, X Qi… - Mathematical Biosciences …, 2021 - go.gale.com
The image super-resolution reconstruction method can improve the image quality in the
Internet of Things (IoT). It improves the data transmission efficiency, and is of great …

Knowledge graph of mobile payment platforms based on deep learning: Risk analysis and policy implications

H Xia, Y Wang, J Gauthier, JZ Zhang - Expert Systems with Applications, 2022 - Elsevier
The Fintech mobile payment platform is expanding rapidly; this expansion, in turn, creates
numerous risks. There is an urgent need to better understand these risks and to spur more …