Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey

W Ding, M Abdel-Basset, H Hawash, AM Ali - Information Sciences, 2022 - Elsevier
The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …

[HTML][HTML] Deep learning for fake news detection: A comprehensive survey

L Hu, S Wei, Z Zhao, B Wu - AI Open, 2022 - Elsevier
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …

Smart assessment and forecasting framework for healthy development index in urban cities

Q Li, L Liu, Z Guo, P Vijayakumar… - Cities, 2022 - Elsevier
With the sustainable development being a consensus in human society, assessment of
healthy development index in urban cities (HDI-UC) has been a hot concern in academia …

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 …

Secure artificial intelligence of things for implicit group recommendations

K Yu, Z Guo, Y Shen, W Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The emergence of Artificial Intelligence of Things (AIoT) has provided novel insights for
many social computing applications, such as group recommender systems. As the distances …

Towards secure and privacy-preserving data sharing for COVID-19 medical records: A blockchain-empowered approach

L Tan, K Yu, N Shi, C Yang, W Wei… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
COVID-19 is currently a major global public health challenge. In the battle against the
outbreak of COVID-19, how to manage and share the COVID-19 Electric Medical Records …

Speech emotion recognition enhanced traffic efficiency solution for autonomous vehicles in a 5G-enabled space–air–ground integrated intelligent transportation …

L Tan, K Yu, L Lin, X Cheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Speech emotion recognition (SER) is becoming the main human–computer interaction logic
for autonomous vehicles in the next generation of intelligent transportation systems (ITSs). It …

Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach

L Tan, K Yu, AK Bashir, X Cheng, F Ming… - Neural Computing and …, 2023 - Springer
Patients with deaths from COVID-19 often have co-morbid cardiovascular disease. Real-
time cardiovascular disease monitoring based on wearable medical devices may effectively …

A blockchain-based shamir's threshold cryptography scheme for data protection in industrial internet of things settings

K Yu, L Tan, C Yang, KKR Choo… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT), a typical Internet of Things (IoT) application,
integrates the global industrial system with other advanced computing, analysis, and …

Deep federated learning enhanced secure POI microservices for cyber-physical systems

Z Guo, K Yu, Z Lv, KKR Choo, P Shi… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
An essential consideration in cyber-physical systems (CPS) is the ability to support secure
communication services, such as points of interest (POI) microservices. Existing approaches …